Horn, B.K.P., and
Bachman, B.L.[Brett L.],
Using Synthetic Images to Register Real Surfaces with Surface Models,
CACM(21), No. 11, November 1978, pp. 914-924.
BibRef
7811
Earlier:
DARPAO77(75-95).
BibRef
Earlier:
MIT AI Memo- 437, August 1977.
Matching is easy, realistic shading is the goal.
BibRef
Horn, B.K.P., and
Bachman, B.L.[Brett L.],
Registering Real Images Using Synthetic Images,
AI-MIT79(129-159).
BibRef
7900
Viola, P.A.[Paul A.],
Wells, III, W.M.[William M.],
Alignment by Maximization of Mutual Information,
IJCV(24), No. 2, September 1997, pp. 137-154.
DOI Link
9710
PS File.
BibRef
Earlier:
ICCV95(16-23).
IEEE DOI
Award, Marr Prize, HM.
Award, ICCV Test of Time.
BibRef
Earlier: A1 only:
MIT AI-TR-1548, March 1995.
BibRef
Ph.D.Thesis, MIT, 1995.
WWW Link. Or:
PS File. When standard assumptions fail (lighting). The idea is that 2 points that
are similar in the model should be similar in the image (i.e. similar
surface orientations lead to similar pixel values). A similar formulation
could be arrived at through a maximum likelihood approach.
BibRef
Wells, III, W.M.,
Halle, M.,
Kikinis, R.,
Viola, P.A.,
Alignment and Tracking Using Graphics Hardware,
ARPA96(837-842).
BibRef
9600
Viola, P.A.[Paul A.],
Complex Feature Recognition:
A Bayesian Approach for Learning to Recognize Objects,
MIT AI Memo-1591, 1995.
WWW Link. Or:
PS File.
BibRef
9500
Boshra, M.[Michael],
Ismail, M.A.,
Recognition of occluded polyhedra from range images,
PR(33), No. 8, August 2000, pp. 1351-1367.
Elsevier DOI
0005
BibRef
El-Sonbaty, Y.[Yasser],
Ismail, M.A.,
Matching Occluded Objects Invariant to Rotations, Translations,
Reflections, and Scale Changes,
SCIA03(836-843).
Springer DOI
0310
BibRef
Guest, E.[Elizabeth],
Berry, E.[Elizabeth],
Baldock, R.A.[Richard A.],
Fidrich, M.[Marta],
Smith, M.A.[Mike A.],
Robust Point Correspondence Applied to
Two- and Three-Dimensional Image Registration,
PAMI(23), No. 2, February 2001, pp. 165-179.
IEEE DOI
0102
Medical problems.
Based on sensitivity to movement, if a point moves there should not be a large
change in the correspondence.
BibRef
Guest, E.,
Berry, E.,
Morris, D.,
Using the CSM Correspondence Calculation Algorithm to Quantify
Differences between Surfaces,
BMVC00(xx-yy).
PDF File.
0009
BibRef
Guest, E.,
Fidrich, M.,
Kelly, S.,
Berry, E.,
Robust surface matching for registration,
3DIM99(169-177).
IEEE DOI
9910
BibRef
Clarkson, M.J.[Matthew J.],
Rueckert, D.[Daniel],
Hill, D.L.G.[Derek L.G.],
Hawkes, D.J.[David J.],
Using Photo-Consistency to Register 2D Optical Images of the Human Face
to a 3D Surface Model,
PAMI(23), No. 11, November 2001, pp. 1266-1280.
IEEE DOI
0112
Face Recognition. How consistent the optical image in each view is with the lighting model.
Apply to face images.
BibRef
Cahill, N.D.[Nathan D.],
Normalized Measures of Mutual Information with General Definitions of
Entropy for Multimodal Image Registration,
WBIR10(258-268).
Springer DOI
1007
BibRef
Lee, D.W.[Dae-Won],
Hofmann, M.[Matthias],
Steinke, F.[Florian],
Altun, Y.[Yasemin],
Cahill, N.D.[Nathan D.],
Scholkopf, B.[Bernhard],
Learning similarity measure for multi-modal 3D image registration,
CVPR09(186-193).
IEEE DOI
0906
BibRef
Cahill, N.D.[Nathan D.],
Noble, J.A.[J. Alison],
Hawkes, D.J.[David J.],
Fourier Methods for Nonparametric Image Registration,
Fusion07(1-8).
IEEE DOI
0706
BibRef
Shan, J.[Jie],
Yoon, J.S.[Jong-Suk],
Lee, D.S.[D. Scott],
Kirk, R.L.[Randolph L.],
Neumann, G.A.[Gregory A.],
Acton, C.H.[Charles H.],
Photogrammetric Analysis of the Mars Global Surveyor Mapping Data,
PhEngRS(71), No. 1, January 2005, pp. 97.
Mars Orbiter Laser Altimeter (MOLA) Profiles are registered with
stereo Mars Orbiter Camera images at a nearly constant uncertainty of
one MOLA ground spacing distance along the flight direction.
WWW Link.
0509
BibRef
Habib, A.[Ayman],
Ghanma, M.[Mwafag],
Morgan, M.[Michel],
Al-Ruzouq, R.[Rami],
Photogrammetric and Lidar Data Registration Using Linear Features,
PhEngRS(71), No. 6, June 2005, pp. 699-708.
Different methodologies for registering photogrammetric and lidar
datasets to a common reference frame using straight lines.
WWW Link.
0509
BibRef
Aouadi, S.[Souha],
Sarry, L.[Laurent],
Accurate and precise 2D-3D registration based on X-ray intensity,
CVIU(110), No. 1, April 2008, pp. 134-151.
Elsevier DOI
0804
BibRef
Earlier:
An Accurate Mutual Information-based Registration of Digitized,
WACV07(54-54).
IEEE DOI
0702
2D-3D registration; Object pose; Mutual information; Digital radiography;
Computed tomography; Stochastic clustering
3D pose from digitized X-Ray data.
BibRef
Fleck, S.[Sven],
Busch, F.[Florian],
Biber, P.[Peter],
Strasser, W.[Wolfgang],
Graph Cut based Panoramic 3D Modeling and Ground Truth Comparison with
a Mobile Platform: The Wagele,
IVC(27), No. 1-2, January 2009, pp. 141-152.
Elsevier DOI
0811
BibRef
Earlier:
CRV06(19-19).
IEEE DOI
0607
Graph cut; 3D model acquisition; 3DTV
BibRef
Biber, P.[Peter],
Fleck, S.[Sven],
Duckett, T.,
3D Modeling of Indoor Environments for a Robotic Security Guard,
SafeSecur05(III: 124-124).
IEEE DOI
0507
BibRef
Biber, P.[Peter],
Fleck, S.[Sven],
Strasser, W.[Wolfgang],
A Probabilistic Framework for Robust and Accurate Matching of Point
Clouds,
DAGM04(480-487).
Springer DOI
0505
BibRef
Wong, A.,
Orchard, J.,
Efficient FFT-Accelerated Approach to Invariant Optical-LIDAR
Registration,
GeoRS(46), No. 11, November 2008, pp. 3917-3925.
IEEE DOI
0812
BibRef
González Aguilera, D.[Diego],
Rodríguez Gonzálvez, P.[Pablo],
Gómez Lahoz, J.[Javier],
An automatic procedure for co-registration of terrestrial laser
scanners and digital cameras,
PandRS(64), No. 3, May 2009, pp. 308-316.
Elsevier DOI
0905
BibRef
Earlier:
Automatic Co-Registration of Terrestrial Laser Scanner and Digital
Camera for the Generation of Hybrids Models,
Laser07(162).
PDF File.
0709
Image analysis; Laserscanning; Close-range photogrammetry; Sensor
fusion; Software development
BibRef
Groher, M.,
Zikic, D.,
Navab, N.,
Deformable 2D-3D Registration of Vascular Structures in a One View
Scenario,
MedImg(28), No. 6, June 2009, pp. 847-860.
IEEE DOI
0906
BibRef
Zikic, D.[Darko],
Kamen, A.[Ali],
Navab, N.[Nassir],
Natural gradients for deformable registration,
CVPR10(2847-2854).
IEEE DOI
1006
BibRef
Zikic, D.[Darko],
Baust, M.[Maximilian],
Kamen, A.[Ali],
Navab, N.[Nassir],
A general preconditioning scheme for difference measures in deformable
registration,
ICCV11(49-56).
IEEE DOI
1201
BibRef
Groher, M.[Martin],
Baust, M.[Maximilian],
Zikic, D.[Darko],
Navab, N.[Nassir],
Monocular Deformable Model-to-Image Registration of Vascular Structures,
WBIR10(37-47).
Springer DOI
1007
BibRef
Detry, R.[Renaud],
Pugeault, N.[Nicolas],
Piater, J.H.[Justus H.],
A Probabilistic Framework for 3D Visual Object Representation,
PAMI(31), No. 10, October 2009, pp. 1790-1803.
IEEE DOI
0909
BibRef
Earlier:
Probabilistic Pose Recovery Using Learned Hierarchical Object Models,
CogVis08(107-120).
Springer DOI
0805
3D features and probabilitistic relations.
BibRef
Detry, R.[Renaud],
Piater, J.H.[Justus H.],
Continuous Surface-Point Distributions for 3D Object Pose Estimation
and Recognition,
ACCV10(III: 572-585).
Springer DOI
1011
BibRef
Teney, D.[Damien],
Piater, J.H.[Justus H.],
Multiview feature distributions for object detection and continuous
pose estimation,
CVIU(125), No. 1, 2014, pp. 265-282.
Elsevier DOI
1406
BibRef
Earlier:
Continuous Pose Estimation in 2D Images at Instance and Category
Levels,
CRV13(121-127)
IEEE DOI
1308
BibRef
And:
Modeling Pose/Appearance Relations for Improved Object Localization and
Pose Estimation in 2D images,
IbPRIA13(59-68).
Springer DOI
1307
BibRef
Earlier:
Generalized Exemplar-Based Full Pose Estimation from 2D Images without
Correspondences,
DICTA12(1-8).
IEEE DOI
1303
BibRef
Earlier:
Probabilistic Object Models for Pose Estimation in 2D Images,
DAGM11(336-345).
Springer DOI
1109
Appearance-based object recognition.
Approximation methods
BibRef
Xiong, H.C.[Han-Chen],
Szedmak, S.[Sandor],
Piater, J.H.[Justus H.],
A Study of Point Cloud Registration with Probability Product Kernel
Functions,
3DV13(207-214)
IEEE DOI
1311
BibRef
And:
Efficient, General Point Cloud Registration with Kernel Feature Maps,
CRV13(83-90)
IEEE DOI
1308
Gaussian processes.
Computational modeling
BibRef
Simonsen, K.B.[Kasper Broegaard],
Nielsen, M.T.[Mads Thorsted],
Pilz, F.[Florian],
Krüger, N.[Norbert],
Pugeault, N.[Nicolas],
Spatial-Temporal Junction Extraction and Semantic Interpretation,
ISVC09(I: 275-286).
Springer DOI
0911
BibRef
Jensen, L.B.W.[Lars B. W.],
Baseski, E.[Emre],
Kalkan, S.[Sinan],
Pugeault, N.[Nicolas],
Wörgötter, F.[Florentin],
Krüger, N.[Norbert],
Semantic Reasoning for Scene Interpretation,
CogVis08(121-134).
Springer DOI
0805
Representation by labelled graphs.
BibRef
Pilz, F.[Florian],
Shi, Y.[Yan],
Grest, D.[Daniel],
Pugeault, N.[Nicolas],
Kalkan, S.[Sinan],
Krüger, N.[Norbert],
Utilizing Semantic Interpretation of Junctions for 3D-2D Pose
Estimation,
ISVC07(I: 692-701).
Springer DOI
0711
See also Scene Representation Based on Multi-Modal 2D and 3D Features, A.
BibRef
Wang, M.[Mi],
Hu, F.[Fen],
Li, J.[Jonathan],
Pan, J.[Jun],
A Fast Approach to Best Scanline Search of Airborne Linear Pushbroom
Images,
PhEngRS(75), No. 9, September 2009, pp. 1059-1068.
WWW Link.
0910
A fast method for best scanline search of airborne linear pushbroom
images based on the object-space geometric constraints.
BibRef
Wang, M.[Mi],
Hu, F.[Fen],
A Fast Object-to-Image Best Scanline Search Algorithm for Airborne
Linear Pushbroom Image Processing,
ISPRS08(B3b: 73 ff).
PDF File.
0807
BibRef
Pati, U.C.[Umesh C.],
Dutta, P.K.[Pranab K.],
Barua, A.[Alok],
Feature level fusion of range and intensity images of an object,
IJCVR(1), No. 1, 2009, pp. 2-33.
DOI Link
0911
BibRef
Palenichka, R.M.[Roman M.],
Zaremba, M.B.[Marek B.],
Automatic Extraction of Control Points for the Registration of Optical
Satellite and LiDAR Images,
GeoRS(48), No. 7, July 2010, pp. 2864-2879.
IEEE DOI
1007
BibRef
Earlier:
A Spatio-Temporal Isotropic Operator for the Attention-Point Extraction,
CAIP09(318-325).
Springer DOI
0909
See also Fast Structure-Adaptive Evaluation of Local Features in Images, A.
See also Multiscale Isotropic Matched Filtering for Individual Tree Detection in LiDAR Images.
See also fast algorithm for the computation of axial moments and its application to the orthogonal fitting of curves, A.
BibRef
Sandhu, R.[Romeil],
Dambreville, S.[Samuel],
Tannenbaum, A.[Allen],
Point Set Registration via Particle Filtering and Stochastic Dynamics,
PAMI(32), No. 8, August 2010, pp. 1459-1473.
IEEE DOI
1007
BibRef
Earlier:
Particle filtering for registration of 2D and 3D point sets with
stochastic dynamics,
CVPR08(1-8).
IEEE DOI
0806
Rigid body transformation.
BibRef
Sandhu, R.[Romeil],
Dambreville, S.[Samuel],
Yezzi, A.J.[Anthony J.],
Tannenbaum, A.[Allen],
A Nonrigid Kernel-Based Framework for 2D-3D Pose Estimation and 2D
Image Segmentation,
PAMI(33), No. 6, June 2011, pp. 1098-1115.
IEEE DOI
1105
BibRef
Earlier:
Non-rigid 2D-3D pose estimation and 2D image segmentation,
CVPR09(786-793).
IEEE DOI
0906
See also Particle filters and occlusion handling for rigid 2D-3D pose tracking.
BibRef
Tsukada, M.[Masahiro],
Utsumi, Y.[Yuya],
Madokoro, H.[Hirokazu],
Sato, K.[Kazuhito],
Unsupervised Feature Selection and Category Classification for a
Vision-Based Mobile Robot,
IEICE(E94-D), No. 1, January 2011, pp. 127-136.
WWW Link.
1101
Selection of feature points.
Detection, Selection, Descriptors, labels, categories.
BibRef
Madokoro, H.[Hirokazu],
Tsukada, M.[Masahiro],
Sato, K.[Kazuhito],
Unsupervised Feature Selection and Category Formation for Generic
Object Recognition,
CAIP11(I: 427-434).
Springer DOI
1109
BibRef
Damas, S.[Sergio],
Cordón, O.[Oscar],
Ibáńez, O.[Oscar],
Santamaría, J.[Jose],
Alemán, I.[Inmaculada],
Botella, M.[Miguel],
Navarro, F.[Fernando],
Forensic identification by computer-aided craniofacial superimposition:
A survey,
Surveys(43), No. 4, October 2011, pp. xx-yy.
DOI Link
1110
Survey, Alignment. Craniofacial superimposition is a forensic process in which a
photograph of a missing person is compared with a skull found to
determine its identity. After one century of development, craniofacial
superimposition has become an interdisciplinary research
BibRef
Leng, D.W.,
Sun, W.D.,
Contour-based iterative pose estimation of 3D rigid object,
IET-CV(5), No. 5, 2011, pp. 291-300.
DOI Link
1110
BibRef
Leng, D.W.,
Sun, W.D.,
Iterative three-dimensional rigid object pose estimation with contour
correspondence,
IET-IPR(6), No. 5, 2012, pp. 569-579.
DOI Link
1210
BibRef
Liu, C.[Ce],
Yuen, J.[Jenny],
Torralba, A.B.[Antonio B.],
Nonparametric Scene Parsing via Label Transfer,
PAMI(33), No. 12, December 2011, pp. 2368-2382.
IEEE DOI
1110
BibRef
Earlier:
Nonparametric scene parsing: Label transfer via dense scene alignment,
CVPR09(1972-1979).
IEEE DOI
0906
Award, CVPR, Student. Best alignment of image with database for recognition.
Recognition by matching with labeled database rather than by learning.
See also SIFT Flow: Dense Correspondence across Different Scenes.
For a non-technical discussion of this method look at
a news item on this technique
BibRef
Lim, J.J.[Joseph J.],
Pirsiavash, H.[Hamed],
Torralba, A.B.[Antonio B.],
Parsing IKEA Objects: Fine Pose Estimation,
ICCV13(2992-2999)
IEEE DOI
1403
BibRef
Grant, D.[Darion],
Bethel, J.[James],
Crawford, M.[Melba],
Point-to-plane registration of terrestrial laser scans,
PandRS(72), No. 1, August 2012, pp. August 2012, 16-26.
Elsevier DOI
1209
BibRef
Earlier:
Rigorous Point-to-plane Registration of Terrestrial Laser Scans,
ISPRS12(XXXIX-B5:181-186).
DOI Link
1209
LIDAR; Point cloud; Terrestrial laser scanning; Surface registration
BibRef
Dorgham, O.[Osama],
Fisher, M.[Mark],
Laycock, S.[Stephen],
Performance of a 2D-3D Image Registration System using (Lossy)
Compressed X-ray CT,
BMVA(2009), No. 3, 2009, pp. 1-11.
PDF File.
1209
BibRef
Corsini, M.,
Dellepiane, M.,
Ganovelli, F.,
Gherardi, R.,
Fusiello, A.,
Scopigno, R.,
Fully Automatic Registration of Image Sets on Approximate Geometry,
IJCV(102), No. 1-3, March 2013, pp. 91-111.
Springer DOI
1303
Color images mapped onto 3D.
BibRef
Bae, M.S.[Min Soo],
Park, I.K.[In Kyu],
Content-based 3D model retrieval using a single depth image from a
low-cost 3D camera,
VC(29), No. 6-8, June 2013, pp. 555-564.
Springer DOI
1306
For query. Use the depth image.
BibRef
Chou, C.R.[Chen-Rui],
Frederick, B.[Brandon],
Mageras, G.[Gig],
Chang, S.[Sha],
Pizer, S.M.[Stephen M.],
2D/3D image registration using regression learning,
CVIU(117), No. 9, 2013, pp. 1095-1106.
Elsevier DOI
1307
2D/3D registration
BibRef
Zhao, Q.,
Chou, C.R.[Chen-Rui],
Mageras, G.,
Pizer, S.M.[Stephen M.],
Local Metric Learning in 2D/3D Deformable Registration With
Application in the Abdomen,
MedImg(33), No. 8, August 2014, pp. 1592-1600.
IEEE DOI
1408
BibRef
Earlier: A2, A4, Only:
Local Regression Learning via Forest Classification for 2D/3D
Deformable Registration,
MCV13(24-33).
Springer DOI
1405
BibRef
Earlier: A2, A4, Only:
Real-Time 2D/3D Deformable Registration Using Metric Learning,
MCVM12(1-10).
Springer DOI
1305
Computed tomography
BibRef
Gomez, J.[Juan],
Bologna, G.[Guido],
Pun, T.[Thierry],
Efficient registering of color and range images,
JIVP(2013), No. 1, 2013, pp. 41.
DOI Link
1307
BibRef
Álvarez, H.[Hugo],
Borro, D.[Diego],
Junction assisted 3D pose retrieval of untextured 3D models in
monocular images,
CVIU(117), No. 10, 2013, pp. 1204-1214.
Elsevier DOI
1309
Computer vision
See also GFT: GPU Fast Triangulation of 3D Points.
BibRef
Rouhani, M.[Mohammad],
Sappa, A.D.[Angel Domingo],
The Richer Representation the Better Registration,
IP(22), No. 12, 2013, pp. 5036-5049.
IEEE DOI
1312
image registration
BibRef
Rouhani, M.[Mohammad],
Sappa, A.D.[Angel D.],
Non-rigid Shape Registration: A Single Linear Least Squares Framework,
ECCV12(VII: 264-277).
Springer DOI
1210
BibRef
Earlier:
Correspondence free registration through a point-to-model distance
minimization,
ICCV11(2150-2157).
IEEE DOI
1201
Between points and model
BibRef
Qin, R.J.[Rong-Jun],
Gruen, A.[Armin],
3D change detection at street level using mobile laser scanning point
clouds and terrestrial images,
PandRS(90), No. 1, 2014, pp. 23-35.
Elsevier DOI
1404
3D change detection
BibRef
Qin, R.J.[Rong-Jun],
Gruen, A.[Armin],
A supervised method for object-based 3D building change detection on
aerial stereo images,
PCV14(259-264).
DOI Link
1404
BibRef
Samir, C.,
Kurtek, S.,
Srivastava, A.,
Canis, M.,
Elastic Shape Analysis of Cylindrical Surfaces for 3D/2D Registration
in Endometrial Tissue Characterization,
MedImg(33), No. 5, May 2014, pp. 1035-1043.
IEEE DOI
1405
Deformation
BibRef
Wang, Y.,
Wang, R.,
Dai, Q.,
A Parametric Model for Describing the Correlation Between Single
Color Images and Depth Maps,
SPLetters(21), No. 7, July 2014, pp. 800-803.
IEEE DOI
1405
Color
BibRef
Morago, B.[Brittany],
Bui, G.[Giang],
Duan, Y.[Ye],
An Ensemble Approach to Image Matching Using Contextual Features,
IP(24), No. 11, November 2015, pp. 4474-4487.
IEEE DOI
1509
BibRef
Earlier:
Integrating LIDAR Range Scans and Photographs with Temporal Changes,
FusionOutdoor14(732-737)
IEEE DOI
1409
2D-3D fusion
BibRef
Morago, B.,
Bui, G.[Giang],
Duan, Y.[Ye],
2D Matching Using Repetitive and Salient Features in Architectural
Images,
IP(25), No. 10, October 2016, pp. 4888-4899.
IEEE DOI
1610
buildings (structures)
BibRef
Avbelj, J.[Janja],
Iwaszczuk, D.[Dorota],
Müller, R.[Rupert],
Reinartz, P.[Peter],
Stilla, U.[Uwe],
Coregistration refinement of hyperspectral images and DSM: An
object-based approach using spectral information,
PandRS(100), No. 1, 2015, pp. 23-34.
Elsevier DOI
1502
BibRef
Earlier:
Line-Based Registration of DSM and Hyperspectral Images,
Hannover13(13-18).
DOI Link
1308
Hyper spectral
BibRef
Iwaszczuk, D.,
Helmholz, P.,
Belton, D.,
Stilla, U.[Uwe],
Model-to-Image Registration and Automatic Texture Mapping Using a Video
Sequence Taken by a Mini UAV,
Hannover13(151-156).
DOI Link
1308
BibRef
Satkin, S.[Scott],
Rashid, M.[Maheen],
Lin, J.[Jason],
Hebert, M.[Martial],
3DNN: 3D Nearest Neighbor,
IJCV(111), No. 1, January 2015, pp. 69-97.
Springer DOI
1502
Relate an image to large collection of 3D models.
BibRef
Rashid, M.[Maheen],
Hebert, M.[Martial],
Detailed 3D Model Driven Single View Scene Understanding,
3DV14(139-146)
IEEE DOI
1503
Geometry
BibRef
Hansard, M.[Miles],
Evangelidis, G.D.[Georgios D.],
Pelorson, Q.[Quentin],
Horaud, R.[Radu],
Cross-calibration of time-of-flight and colour cameras,
CVIU(134), No. 1, 2015, pp. 105-115.
Elsevier DOI
1504
Camera networks
BibRef
Abayowa, B.O.[Bernard O.],
Yilmaz, A.[Alper],
Hardie, R.C.[Russell C.],
Automatic registration of optical aerial imagery to a LiDAR point
cloud for generation of city models,
PandRS(106), No. 1, 2015, pp. 68-81.
Elsevier DOI
1507
Scene modeling
BibRef
Hosseinyalamdary, S.,
Yilmaz, A.,
Surface Recovery: Fusion of Image and Point Cloud,
MSF15(175-183)
IEEE DOI
1602
Geometry
BibRef
Lindner, C.[Claudia],
Bromiley, P.A.,
Ionita, M.C.[Mircea C.],
Cootes, T.F.[Tim F.],
Robust and Accurate Shape Model Matching Using Random Forest
Regression-Voting,
PAMI(37), No. 9, September 2015, pp. 1862-1874.
IEEE DOI
1508
Detectors
BibRef
Cootes, T.F.[Tim F.],
Ionita, M.C.[Mircea C.],
Lindner, C.[Claudia],
Sauer, P.[Patrick],
Robust and Accurate Shape Model Fitting Using Random Forest Regression
Voting,
ECCV12(VII: 278-291).
Springer DOI
1210
BibRef
Wu, B.[Bo],
Tang, S.J.[Sheng-Jun],
Zhu, Q.[Qing],
Tong, K.Y.[Kwan-Yuen],
Hu, H.[Han],
Li, G.Y.[Guo-Yuan],
Geometric integration of high-resolution satellite imagery and
airborne LiDAR data for improved geopositioning accuracy in
metropolitan areas,
PandRS(109), No. 1, 2015, pp. 139-151.
Elsevier DOI
1512
High-resolution satellite imagery
BibRef
Yang, J.[Jian],
Jones, T.[Trevor],
Caspersen, J.[John],
He, Y.H.[Yu-Hong],
Object-Based Canopy Gap Segmentation and Classification:
Quantifying the Pros and Cons of Integrating Optical and LiDAR Data,
RS(7), No. 12, 2015, pp. 15811.
DOI Link
1601
BibRef
Ghosh, S.[Shatadal],
Ray, R.[Ranjit],
Vadali, S.R.K.[Siva Ram Krishna],
Shome, S.N.[Sankar Nath],
Nandy, S.[Sambhunath],
Reliable pose estimation of underwater dock using single camera:
A scene invariant approach,
MVA(27), No. 2, February 2016, pp. 221-236.
Springer DOI
1602
BibRef
Liu, S.J.[Shi-Jie],
Tong, X.H.[Xiao-Hua],
Chen, J.[Jie],
Liu, X.F.[Xiang-Feng],
Sun, W.Z.[Wen-Zheng],
Xie, H.[Huan],
Chen, P.[Peng],
Jin, Y.M.[Yan-Min],
Ye, Z.[Zhen],
A Linear Feature-Based Approach for the Registration of Unmanned
Aerial Vehicle Remotely-Sensed Images and Airborne LiDAR Data,
RS(8), No. 2, 2016, pp. 82.
DOI Link
1603
BibRef
Khoshelham, K.[Kourosh],
Closed-form solutions for estimating a rigid motion from plane
correspondences extracted from point clouds,
PandRS(114), No. 1, 2016, pp. 78-91.
Elsevier DOI
1604
BibRef
Earlier:
Direct 6-DoF Pose Estimation from Point-Plane Correspondences,
DICTA15(1-6)
IEEE DOI
1603
Registration.
convergence
BibRef
Khoshelham, K.,
Gorte, B.,
Registering point clouds of polyhedral buildings to 2D maps,
3DARCH09(xx-yy).
PDF File.
0902
BibRef
Hexner, J.[Jonathan],
Hagege, R.R.[Rami R.],
2D-3D Pose Estimation of Heterogeneous Objects Using a Region Based
Approach,
IJCV(118), No. 1, June 2016, pp. 95-112.
Springer DOI
1605
BibRef
Miao, S.,
Wang, Z.J.,
Liao, R.,
A CNN Regression Approach for Real-Time 2D/3D Registration,
MedImg(35), No. 5, May 2016, pp. 1352-1363.
IEEE DOI
1605
Attenuation
BibRef
Aldoma, A.[Aitor],
Tombari, F.[Federico],
di Stefano, L.[Luigi],
Vincze, M.[Markus],
A Global Hypothesis Verification Framework for 3D Object Recognition
in Clutter,
PAMI(38), No. 7, July 2016, pp. 1383-1396.
IEEE DOI
1606
BibRef
Earlier:
A Global Hypotheses Verification Method for 3D Object Recognition,
ECCV12(III: 511-524).
Springer DOI
1210
Clutter
BibRef
Petrelli, A.[Alioscia],
di Stefano, L.[Luigi],
A Repeatable and Efficient Canonical Reference for Surface Matching,
3DIMPVT12(403-410).
IEEE DOI
1212
BibRef
Khoo, Y.,
Kapoor, A.,
Non-Iterative Rigid 2D/3D Point-Set Registration Using Semidefinite
Programming,
IP(25), No. 7, July 2016, pp. 2956-2970.
IEEE DOI
1606
computer vision
BibRef
Zhou, G.Q.[Guo-Qing],
Luo, Q.L.[Qing-Li],
Xie, W.H.[Wen-Han],
Yue, T.[Tao],
Huang, J.J.[Jing-Jin],
Shen, Y.Z.[Yu-Zhong],
Transformation Model with Constraints for High-Accuracy of 2D-3D
Building Registration in Aerial Imagery,
RS(8), No. 6, 2016, pp. 507.
DOI Link
1608
BibRef
Wang, X.[Xun],
Yan, G.L.[Guo-Li],
Wang, H.Y.[Hui-Yan],
Fu, J.H.[Jian-Hai],
Hua, J.[Jing],
Wang, J.Q.[Jing-Qi],
Yang, Y.T.[Yu-Tao],
Zhang, G.F.[Guo-Feng],
Bao, H.J.[Hu-Jun],
Semantic annotation for complex video street views based on 2D-3D
multi-feature fusion and aggregated boosting decision forests,
PR(62), No. 1, 2017, pp. 189-201.
Elsevier DOI
1705
Semantic annotation
BibRef
Yu, W.M.[Wei-Min],
Tannast, M.[Moritz],
Zheng, G.[Guoyan],
Non-rigid free-form 2D-3D registration using a B-spline-based
statistical deformation model,
PR(63), No. 1, 2017, pp. 689-699.
Elsevier DOI
1612
BibRef
Earlier: A3, A1, Only:
Non-rigid Free-Form 2D-3D Registration Using Statistical Deformation
Model,
MLMI15(102-109).
Springer DOI
1511
Free-from deformation
BibRef
Li, F.[Fei],
Du, Y.F.[Yun-Fan],
Liu, R.J.[Ru-Jie],
Color-Introduced Frame-to-Model Registration for 3D Reconstruction,
MMMod17(II: 112-123).
Springer DOI
1701
BibRef
Phan, M.S.[Minh Son],
Baudrier, É.[Étienne],
Mazo, L.[Loďc],
Tajine, M.[Mohamed],
Moment-Based Angular Difference Estimation Between Two Tomographic
Projections in 2D and 3D,
JMIV(57), No. 2, February 2017, pp. 164-182.
Springer DOI
1702
BibRef
Zhao, H.J.[Hui-Jie],
Shi, S.G.[Shao-Guang],
Gu, X.F.[Xing-Fa],
Jia, G.R.[Guo-Rui],
Xu, L.[Lunbao],
Integrated System for Auto-Registered Hyperspectral and 3D Structure
Measurement at the Point Scale,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link
1706
BibRef
de Silva, T.,
Cool, D.W.,
Yuan, J.,
Romagnoli, C.,
Samarabandu, J.,
Fenster, A.,
Ward, A.D.,
Robust 2-D-3-D Registration Optimization for Motion Compensation
During 3-D TRUS-Guided Biopsy Using Learned Prostate Motion Data,
MedImg(36), No. 10, October 2017, pp. 2010-2020.
IEEE DOI
1710
Biopsy, Cancer, Probes, Robustness,
Ultrasonic imaging,
2D-3D registration, motion compensation, prostate biopsy,
registration optimization, ultrasound, guidance
BibRef
Plötz, T.[Tobias],
Roth, S.[Stefan],
Automatic Registration of Images to Untextured Geometry Using Average
Shading Gradients,
IJCV(125), No. 1-3, December 2018, pp. 65-81.
Springer DOI
1711
BibRef
Earlier:
Registering Images to Untextured Geometry Using Average Shading
Gradients,
ICCV15(2030-2038)
IEEE DOI
1602
Registering photos with no texture information.
Cameras
BibRef
Gao, M.L.[Mao-Lin],
Lähner, Z.[Zorah],
Thunberg, J.[Johan],
Cremers, D.[Daniel],
Bernard, F.[Florian],
Isometric Multi-Shape Matching,
CVPR21(14178-14188)
IEEE DOI
2111
Shape,
Linear programming, Complexity theory, Object tracking, Optimization
BibRef
Bernard, F.[Florian],
Schmidt, F.R.,
Thunberg, J.[Johan],
Cremers, D.[Daniel],
A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching,
CVPR17(1436-1445)
IEEE DOI
1711
Computational modeling, Labeling, Optimization,
Shape,
BibRef
Famouri, M.[Mahmoud],
Bartoli, A.E.[Adrien E.],
Azimifar, Z.[Zohreh],
Fast shape-from-template using local features,
MVA(29), No. 1, January 2018, pp. 73-93.
Springer DOI
1801
3D from 1 image. Reconstruct give a 3D template.
BibRef
Li, F.[Fei],
Du, Y.F.[Yun-Fan],
Tian, H.[Hu],
Liu, R.J.[Ru-Jie],
Color Mapping for 3D Geometric Models without Reference Image
Locations,
DICTA17(1-6)
IEEE DOI
1804
cameras, image colour analysis,
image reconstruction, image registration, pose estimation,
BibRef
Li, W.[Wen],
Chen, L.[Lin],
Xu, D.[Dong],
Van Gool, L.J.[Luc J.],
Visual Recognition in RGB Images and Videos by Learning from RGB-D
Data,
PAMI(40), No. 8, August 2018, pp. 2030-2036.
IEEE DOI
1807
BibRef
Earlier: A2, A1, A3, Only:
Recognizing RGB Images by Learning from RGB-D Data,
CVPR14(1418-1425)
IEEE DOI
1409
Feature extraction, Image recognition, Testing, Training,
Training data, Videos, Visualization, Domain adaptation,
object recognition.
RGB-D examples, RGB images as input.
BibRef
Gómez, O.[Oscar],
Ibáńez, O.[Oscar],
Valsecchi, A.[Andrea],
Cordón, O.[Oscar],
Kahana, T.[Tzipi],
3D-2D silhouette-based image registration for comparative
radiography-based forensic identification,
PR(83), 2018, pp. 469-480.
Elsevier DOI
1808
Forensic identification, Comparative radiography,
3D-2D image registration, Evolutionary computation
BibRef
Usamentiaga, R.[Rubén],
García, D.F.[Daniel F.],
Molleda, J.[Julio],
Efficient registration of 2D points to CAD models for real-time
applications,
RealTimeIP(15), No. 2, August 2018, pp. 329-347.
WWW Link.
1808
BibRef
Xin, X.[Xin],
Liu, B.[Bin],
Di, K.C.[Kai-Chang],
Jia, M.[Mengna],
Oberst, J.[Jürgen],
High-precision co-registration of orbiter imagery and digital
elevation model constrained by both geometric and photometric
information,
PandRS(144), 2018, pp. 28-37.
Elsevier DOI
1809
Co-registration, Geometric model, Photometric model,
LRO NAC image, SLDEM2015, Lunar mapping
BibRef
Paudel, D.P.[Danda Pani],
Habed, A.[Adlane],
Demonceaux, C.[Cédric],
Vasseur, P.[Pascal],
Robust and Optimal Registration of Image Sets and Structured Scenes via
Sum-of-Squares Polynomials,
IJCV(127), No. 5, May 2019, pp. 415-436.
Springer DOI
1903
BibRef
Earlier:
Robust and Optimal Sum-of-Squares-Based Point-to-Plane Registration
of Image Sets and Structured Scenes,
ICCV15(2048-2056)
IEEE DOI
1602
BibRef
And:
LMI-based 2D-3D registration:
From uncalibrated images to Euclidean scene,
CVPR15(4494-4502)
IEEE DOI
1510
BibRef
Earlier: A1, A3, A2, A4:
Localization of 2D Cameras in a Known Environment Using Direct 2D-3D
Registration,
ICPR14(196-201)
IEEE DOI
1412
Barium
BibRef
Van Gool, L.J.[Luc J.],
Paudel, D.P.[Danda Pani],
Habed, A.[Adlane],
Optimal Transformation Estimation with Semantic Cues,
ICCV17(4668-4677)
IEEE DOI
1802
computational geometry, image registration, image segmentation,
linear matrix inequalities, search problems, 2D homography,
BibRef
Liu, Y.,
Dong, Y.,
Song, Z.,
Wang, M.,
2D-3D Point Set Registration Based on Global Rotation Search,
IP(28), No. 5, May 2019, pp. 2599-2613.
IEEE DOI
1903
Search problems, Linear programming, Solid modeling, Cameras,
global rotation search
BibRef
Brown, M.[Mark],
Windridge, D.[David],
Guillemaut, J.Y.[Jean-Yves],
A family of globally optimal branch-and-bound algorithms for 2D-3D
correspondence-free registration,
PR(93), 2019, pp. 36-54.
Elsevier DOI
1906
2D-3D registration, Multi-modal registration,
Branch-and-bound, Global optimisation
BibRef
Rashwan, H.A.,
Chambon, S.,
Gurdjos, P.,
Morin, G.,
Charvillat, V.,
Using Curvilinear Features in Focus for Registering a Single Image to
a 3D Object,
IP(28), No. 9, Sep. 2019, pp. 4429-4443.
IEEE DOI
1908
feature extraction, image matching, image registration,
photography, pose estimation, rendering (computer graphics),
curvilinear saliency
BibRef
Liu, W.Q.[Wei-Quan],
Wang, C.[Cheng],
Bian, X.S.[Xue-Sheng],
Chen, S.T.[Shu-Ting],
Li, W.[Wei],
Lin, X.H.[Xiu-Hong],
Li, Y.C.[Yong-Chuan],
Weng, D.D.[Dong-Dong],
Lai, S.H.[Shang-Hong],
Li, J.[Jonathan],
AE-GAN-Net: Learning Invariant Feature Descriptor to Match Ground
Camera Images and a Large-Scale 3D Image-Based Point Cloud for
Outdoor Augmented Reality,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Zhou, Y.Q.[Ya-Qian],
Liu, Y.[Yu],
Zhou, H.[Heyu],
Li, W.H.[Wen-Hui],
Wasserstein distance feature alignment learning for 2D image-based 3D
model retrieval,
JVCIR(79), 2021, pp. 103197.
Elsevier DOI
2109
3D model retrieval, Multi-view learning, Cross-domain retrieval
BibRef
Liu, Z.Z.[Zheng-Zhe],
Qi, X.J.[Xiao-Juan],
Fu, C.W.[Chi-Wing],
3D-to-2D Distillation for Indoor Scene Parsing,
CVPR21(4462-4472)
IEEE DOI
2111
Training, Knowledge engineering, Solid modeling,
Semantics, Statistical distributions, Feature extraction
BibRef
Liu, D.X.[Dong-Xu],
Han, G.L.[Guang-Liang],
Liu, P.X.[Pei-Xun],
Yang, H.[Hang],
Sun, X.L.[Xing-Long],
Li, Q.Q.[Qing-Qing],
Wu, J.J.[Jia-Jia],
A Novel 2D-3D CNN with Spectral-Spatial Multi-Scale Feature Fusion
for Hyperspectral Image Classification,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Chang, X.[Xing],
Yang, G.Q.[Gui-Qin],
Chen, J.[Jiayu],
Wang, X.P.[Xiao-Peng],
Jiang, Z.J.[Zhan-Jun],
Spaceborne pose determination based on image to 3D digital surface
model matching,
IET-IPR(16), No. 12, 2022, pp. 3314-3324.
DOI Link
2209
BibRef
Zhou, Y.Q.[Ya-Qian],
Liu, Y.[Yu],
Zhou, H.[Heyu],
Cheng, Z.Y.[Zhi-Yong],
Li, X.Y.[Xuan-Ya],
Liu, A.A.[An-An],
Learning Transferable and Discriminative Representations for 2D
Image-Based 3D Model Retrieval,
CirSysVideo(32), No. 10, October 2022, pp. 7147-7159.
IEEE DOI
2210
Solid modeling, Adaptation models, Feature extraction,
Error analysis, Data models, Generative adversarial networks, multi-view
BibRef
Wang, X.H.[Xuan-Han],
Gao, L.L.[Lian-Li],
Zhou, Y.X.[Yi-Xuan],
Song, J.K.[Jing-Kuan],
Wang, M.[Meng],
KTN: Knowledge Transfer Network for Learning Multiperson 2D-3D
Correspondences,
CirSysVideo(32), No. 11, November 2022, pp. 7732-7745.
IEEE DOI
2211
Estimation, Annotations, Feature extraction, Training, Task analysis,
Pipelines, Human densepose estimation,
commonsense knowledge transfer
BibRef
Zhao, C.H.[Chun-Hui],
Wang, W.X.[Wen-Xuan],
Yan, Y.M.[Yi-Ming],
Su, N.[Nan],
Feng, S.[Shou],
Hou, W.[Wei],
Xia, Q.Y.[Qing-Yu],
A Novel Object-Level Building-Matching Method across 2D Images and 3D
Point Clouds Based on the Signed Distance Descriptor (SDD),
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link
2307
BibRef
Gao, C.[Cong],
Feng, A.[Anqi],
Liu, X.T.[Xing-Tong],
Taylor, R.H.[Russell H.],
Armand, M.[Mehran],
Unberath, M.[Mathias],
A Fully Differentiable Framework for 2D/3D Registration and the
Projective Spatial Transformers,
MedImg(43), No. 1, January 2024, pp. 275-285.
IEEE DOI Code:
WWW Link.
2401
BibRef
Tang, S.J.[Sheng-Jun],
Li, Y.S.[Yu-Song],
Wan, J.W.[Jia-Wei],
Li, Y.[You],
Zhou, B.D.[Bao-Ding],
Guo, R.Z.[Ren-Zhong],
Wang, W.X.[Wei-Xi],
Feng, Y.H.[Yu-Hong],
TransCNNLoc: End-to-end pixel-level learning for 2D-to-3D pose
estimation in dynamic indoor scenes,
PandRS(207), 2024, pp. 218-230.
Elsevier DOI
2401
Indoor localization, Feature learning, Structure from motion,
Levenberg-Marquardt, Image retrieval
BibRef
Chen, K.[Ke],
Han, H.[Huan],
Three-Stage Approach for 2D/3D Diffeomorphic Multimodality Image
Registration with Textural Control,
SIIMS(17), No. 3, 2024, pp. 1690-1728.
DOI Link
2501
BibRef
Shtedritski, A.[Aleksandar],
Rupprecht, C.[Christian],
Vedaldi, A.[Andrea],
SHIC: Shape-Image Correspondences with No Keypoint Supervision,
ECCV24(XXXVII: 129-145).
Springer DOI
2412
BibRef
Wang, F.J.[Fang-Jinhua],
Jiang, X.D.[Xu-Dong],
Galliani, S.[Silvano],
Vogel, C.[Christoph],
Pollefeys, M.[Marc],
GLACE: Global Local Accelerated Coordinate Encoding,
CVPR24(5819-5828)
IEEE DOI Code:
WWW Link.
2410
Point cloud compression, Location awareness, Solid modeling,
Visualization, Pose estimation, Lighting, accelerated global-local encoding
BibRef
Bhunia, A.[Ankan],
Li, C.J.[Chang-Jian],
Bilen, H.[Hakan],
Looking 3D: Anomaly Detection with 2D-3D Alignment,
CVPR24(17263-17272)
IEEE DOI
2410
Geometry, Visualization, Solid modeling, Accuracy, Shape,
Benchmark testing, anomaly detection, 2D-3D alignment, correspondence
BibRef
Wang, S.[Shuzhe],
Kannala, J.H.[Ju-Ho],
Barath, D.[Daniel],
DGC-GNN: Leveraging Geometry and Color Cues for Visual
Descriptor-Free 2D-3D Matching,
CVPR24(20881-20891)
IEEE DOI Code:
WWW Link.
2410
Point cloud compression, Visualization, Privacy, Solid modeling,
Accuracy, Image color analysis, Visual Descriptor-Free,
privacy preservation
BibRef
Han, X.Y.[Xin-Yang],
Gao, Z.L.[Ze-Lin],
Kanazawa, A.[Angjoo],
Goel, S.[Shubham],
Gandelsman, Y.[Yossi],
The More You See in 2D, the More You Perceive in 3D,
CVPR24(20912-20922)
IEEE DOI
2410
Accuracy, Benchmark testing, Diffusion models, Cameras,
test-time adaptation, nvs, 3d reconstruction
BibRef
Hruby, P.[Petr],
Duff, T.[Timothy],
Pollefeys, M.[Marc],
Efficient Solution of Point-Line Absolute Pose,
CVPR24(21316-21325)
IEEE DOI Code:
WWW Link.
2410
Codes, Runtime, Art, Pose estimation, Cameras, Polynomials,
absolute pose, minimal solver, line correspondences, Galois theory
BibRef
Barroso-Laguna, A.[Axel],
Munukutla, S.[Sowmya],
Prisacariu, V.A.[Victor Adrian],
Brachmann, E.[Eric],
Matching 2D Images in 3D: Metric Relative Pose from Metric
Correspondences,
CVPR24(4852-4863)
IEEE DOI
2410
Training, Image matching, Pipelines, Neural networks, Estimation,
Benchmark testing, keypoint matching, metric relative pose,
metric keypoint correspondences
BibRef
Gopalakrishnan, V.[Vivek],
Dey, N.[Neel],
Golland, P.[Polina],
Intraoperative 2D/3D Image Registration via Differentiable X-Ray
Rendering,
CVPR24(11662-11672)
IEEE DOI Code:
WWW Link.
2410
Accuracy, Runtime, Computed tomography, Neural networks, Surgery,
Optimization methods, medical imaging, image registration,
differentiable rendering
BibRef
Lecomte, F.[François],
Alvarez, P.[Pablo],
Cotin, S.[Stéphane],
Dillenseger, J.L.[Jean-Louis],
Beyond respiratory models: a physics-enhanced synthetic data
generation method for 2D-3D deformable registration,
EnhanceMedIm24(2413-2421)
IEEE DOI
2410
Training, Image registration, Solid modeling, Deformation,
Computed tomography, Vectors, Synthetic data generation, FEM
BibRef
Chen, J.J.[Jia-Jing],
Yang, M.[Minmin],
Velipasalar, S.[Senem],
Letting 3D Guide the Way: 3D Guided 2D Few-Shot Image Classification,
WACV24(2720-2728)
IEEE DOI
2404
Queries are 2D images, and the support set is composed of 3D mesh data.
Training, Shape, Image color analysis, Image classification, Testing,
Algorithms, Machine learning architectures, formulations,
3D computer vision
BibRef
Roetzer, P.[Paul],
Lähner, Z.[Zorah],
Bernard, F.[Florian],
Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching,
CVPR23(21866-21875)
IEEE DOI
2309
BibRef
Jaganathan, S.[Srikrishna],
Kukla, M.[Maximilian],
Wang, J.[Jian],
Shetty, K.[Karthik],
Maier, A.[Andreas],
Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion,
WACV23(2787-2797)
IEEE DOI
2302
Training, Representation learning, Deep learning,
Computed tomography, Neural networks, Self-supervised learning
BibRef
Janik, M.[Maciej],
Gard, N.[Niklas],
Hilsmann, A.[Anna],
Eisert, P.[Peter],
Zero in on Shape:
A Generic 2D-3D Instance Similarity Metric Learned from Synthetic Data,
ICIP21(2638-2642)
IEEE DOI
2201
Training, Measurement, Solid modeling, Shape, Training data,
Network architecture, 3D model retrieval, zero-shot, domain gap
BibRef
Rajamohan, D.[Deepak],
Garratt, M.[Matthew],
Pickering, M.R.[Mark R.],
A 3D-2D Registration Method for Stereo Scan Overlay on Structure from
Motion Model,
DICTA20(1-7)
IEEE DOI
2201
Solid modeling, Structure from motion, Surveillance, Cameras, Trajectory
BibRef
Tang, H.,
Hsung, T.C.,
Lam, W.Y.H.,
Cheng, L.Y.Y.,
Pow, E.H.N.,
On 2D-3D Image Feature Detections for Image-To-Geometry Registration
in Virtual Dental Model,
VCIP20(140-143)
IEEE DOI
2102
Teeth,
Image color analysis, Dentistry, Surface morphology,
Range Image
BibRef
Zhang, S.,
Lichti, D.D.,
Küpper, J.C.,
Ronsky, J.L.,
An Automatic ICP-based 2d-3d Registration Method for A High-speed
Biplanar Videoradiography Imaging System,
ISPRS20(B2:805-812).
DOI Link
2012
BibRef
Sundermeyer, M.[Martin],
Durner, M.[Maximilian],
Puang, E.Y.[En Yen],
Marton, Z.C.[Zoltan-Csaba],
Vaskevicius, N.[Narunas],
Arras, K.O.[Kai O.],
Triebel, R.[Rudolph],
Multi-Path Learning for Object Pose Estimation Across Domains,
CVPR20(13913-13922)
IEEE DOI
2008
Training, Encoding, Feature extraction,
Decoding, Pose estimation, Solid modeling
BibRef
Lange, A.[Annkristin],
Heldmann, S.[Stefan],
Multilevel 2d-3d Intensity-based Image Registration,
WBIR20(57-66).
Springer DOI
2006
BibRef
Georgakis, G.,
Karanam, S.,
Wu, Z.,
Kosecka, J.,
Learning Local RGB-to-CAD Correspondences for Object Pose Estimation,
ICCV19(8966-8975)
IEEE DOI
2004
CAD, computational geometry, feature extraction,
image colour analysis, image matching, image registration, Shape
BibRef
Reddy, N.D.[N. Dinesh],
Vo, M.[Minh],
Narasimhan, S.G.[Srinivasa G.],
Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph
Networks,
CVPR19(7318-7327).
IEEE DOI
2002
BibRef
Liao, H.[Haofu],
Lin, W.A.[Wei-An],
Zhang, J.R.[Jia-Rui],
Zhang, J.D.[Jing-Dan],
Luo, J.B.[Jie-Bo],
Zhou, S.K.[S. Kevin],
Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for
Tracking and Triangulation,
CVPR19(12630-12639).
IEEE DOI
2002
BibRef
Semler, Q.,
Suwardhi, D.,
Alby, E.,
Murtiyoso, A.,
Macher, H.,
Registration of 2d Drawings On a 3d Point Cloud As a Support for The
Modeling of Complex Architectures,
CIPA19(1083-1087).
DOI Link
1912
BibRef
Schmitz, S.,
Weinmann, M.,
Ruf, B.,
Automatic Co-registration of Aerial Imagery and Untextured Model Data
Utilizing Average Shading Gradients,
UAV-g19(581-588).
DOI Link
1912
BibRef
Milz, S.[Stefan],
Simon, M.[Martin],
Fischer, K.[Kai],
Pöpperl, M.[Maximillian],
Gross, H.M.[Horst-Michael],
Points2Pix: 3D Point-Cloud to Image Translation Using Conditional GANs,
GCPR19(387-400).
Springer DOI
1911
BibRef
Knyaz, V.A.[Vladimir A.],
Kniaz, V.V.[Vladimir V.],
Remondino, F.[Fabio],
Image-to-Voxel Model Translation with Conditional Adversarial Networks,
4DPose18(I:601-618).
Springer DOI
1905
BibRef
Schaffert, R.[Roman],
Wang, J.[Jian],
Fischer, P.[Peter],
Borsdorf, A.[Anja],
Maier, A.[Andreas],
Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image
Registration,
GCPR18(140-152).
Springer DOI
1905
BibRef
Shen, Z.,
Ma, X.,
Zeng, X.,
Hybrid 3D Surface Description with Global Frames and Local Signatures
of Histograms,
ICPR18(1610-1615)
IEEE DOI
1812
Histograms, Object recognition,
Robustness, Feature extraction, Clutter, Interpolation,
surface matching
BibRef
Amayo, P.[Paul],
Pinies, P.[Pedro],
Paz, L.M.[Lina M.],
Newman, P.[Paul],
Geometric Multi-model Fitting with a Convex Relaxation Algorithm,
CVPR18(8138-8146)
IEEE DOI
1812
Mathematical model, Data models, Optimization, Minimization,
Measurement, Computational modeling, Estimation
BibRef
Roth, S.[Stefan],
Richter, S.R.[Stephan R.],
Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers,
CVPR18(1936-1944)
IEEE DOI
1812
2D encoding of 3D geometry.
Shape, Decoding, Image reconstruction, Electron tubes, Image resolution
BibRef
Seo, P.H.[Paul Hongsuck],
Lee, J.M.[Jong-Min],
Jung, D.[Deunsol],
Han, B.H.[Bo-Hyung],
Cho, M.[Minsu],
Attentive Semantic Alignment with Offset-Aware Correlation Kernels,
ECCV18(II: 367-383).
Springer DOI
1810
BibRef
Fathy, M.E.[Mohammed E.],
Tran, Q.H.[Quoc-Huy],
Zia, M.Z.[M. Zeeshan],
Vernaza, P.[Paul],
Chandraker, M.[Manmohan],
Hierarchical Metric Learning and Matching for 2D and 3D Geometric
Correspondences,
ECCV18(XV: 832-850).
Springer DOI
1810
BibRef
Jiang, C.,
Christie, D.,
Paudel, D.P.,
Demonceaux, C.,
High quality reconstruction of dynamic objects using 2D-3D camera
fusion,
ICIP17(2209-2213)
IEEE DOI
1803
Cameras, Image reconstruction, Robustness, Surface reconstruction,
Trajectory, Vehicle dynamics,
RANSAC
BibRef
Liu, L.,
Li, H.,
Dai, Y.,
Efficient Global 2D-3D Matching for Camera Localization in a
Large-Scale 3D Map,
ICCV17(2391-2400)
IEEE DOI
1802
feature extraction, image matching, image sensors,
query processing, 2D-3D direct feature matching framework,
Visualization
BibRef
Horanyi, N.,
Kato, Z.,
Multiview Absolute Pose Using 3D-2D Perspective Line Correspondences
and Vertical Direction,
Multiview17(2472-2480)
IEEE DOI
1802
Cameras, Mathematical model, Pose estimation,
Robustness,
BibRef
Camposeco, F.[Federico],
Sattler, T.[Torsten],
Cohen, A.[Andrea],
Geiger, A.[Andreas],
Pollefeys, M.[Marc],
Toroidal Constraints for Two-Point Localization Under High Outlier
Ratios,
CVPR17(6700-6708)
IEEE DOI
1711
Cameras, Computational modeling, Pose estimation, Solid modeling
BibRef
Kong, C.[Chen],
Zhu, R.[Rui],
Kiani, H.[Hamed],
Lucey, S.[Simon],
Structure from Category: A Generic and Prior-Less Approach,
3DV16(296-304)
IEEE DOI
1701
3D structure of generic objects, without motion.
computer vision
BibRef
Hess, A.[Andy],
Ray, N.[Nilanjan],
Zhang, H.[Hong],
Synthetic Viewpoint Prediction,
CRV16(391-398)
IEEE DOI
1612
neural networks; object viewpoint; pattern recognition
Pose in 2D.
BibRef
Mu, Z.,
A Fast DRR Generation Scheme for 3D-2D Image Registration Based on
the Block Projection Method,
WBIR16(609-617)
IEEE DOI
1612
BibRef
Lähner, Z.[Zorah],
Rodolŕ, E.[Emanuele],
Schmidt, F.R.[Frank R.],
Bronstein, M.M.[Michael M.],
Cremers, D.[Daniel],
Efficient Globally Optimal 2D-to-3D Deformable Shape Matching,
CVPR16(2185-2193)
IEEE DOI
1612
BibRef
Bansal, A.,
Russell, B.C.[Bryan C.],
Gupta, A.,
Marr Revisited: 2D-3D Alignment via Surface Normal Prediction,
CVPR16(5965-5974)
IEEE DOI
1612
BibRef
Groueix, T.[Thibault],
Fisher, M.[Matthew],
Kim, V.G.[Vladimir G.],
Russell, B.C.[Bryan C.],
Aubry, M.[Mathieu],
3D-CODED: 3D Correspondences by Deep Deformation,
ECCV18(II: 235-251).
Springer DOI
1810
BibRef
Massa, F.,
Russell, B.C.,
Aubry, M.,
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views,
CVPR16(6024-6033)
IEEE DOI
1612
BibRef
Aubry, M.[Mathieu],
Maturana, D.[Daniel],
Efros, A.A.[Alexei A.],
Russell, B.C.[Bryan C.],
Sivic, J.[Josef],
Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large
Dataset of CAD Models,
CVPR14(3762-3769)
IEEE DOI
1409
3D
BibRef
Wu, J.J.[Jia-Jun],
Xue, T.F.[Tian-Fan],
Lim, J.J.[Joseph J.],
Tian, Y.D.[Yuan-Dong],
Tenenbaum, J.B.[Joshua B.],
Torralba, A.B.[Antonio B.],
Freeman, W.T.[William T.],
Single Image 3D Interpreter Network,
ECCV16(VI: 365-382).
Springer DOI
1611
NN. 2D keypoints in 3D structure.
BibRef
Tilly, N.,
Kelterbaum, D.,
Zeese, R.,
Geomorphological Mapping With Terrestrial Laser Scanning And UAV-based
Imaging,
ISPRS16(B5: 591-597).
DOI Link
1610
BibRef
Bao, R.,
Iwamoto, K.,
Fast 2D-to-3D matching with camera pose voting for 3D object
identification,
ICIP16(664-668)
IEEE DOI
1610
Cameras
BibRef
Boerner, R.,
Kröhnert, M.,
Brute Force Matching Between Camera Shots And Synthetic Images From
Point Clouds,
ISPRS16(B5: 771-777).
DOI Link
1610
BibRef
Liang, Y.B.[Yu-Bin],
Qiu, Y.[Yan],
Cui, T.J.[Tie-Jun],
Perspective Intensity Images For Co-registration Of Terrestrial Laser
Scanner And Digital Camera,
ISPRS16(B3: 295-300).
DOI Link
1610
BibRef
Yang, Z.H.,
Zhang, Y.S.,
Zheng, T.,
Lai, W.B.,
Zou, Z.R.,
Zou, B.,
Co-registration Airborne Lidar Point Cloud Data And Synchronous Digital
Image Registration Based On Combined Adjustment,
ISPRS16(B1: 259-264).
DOI Link
1610
BibRef
Rhodin, H.[Helge],
Robertini, N.[Nadia],
Richardt, C.[Christian],
Seidel, H.P.[Hans-Peter],
Theobalt, C.[Christian],
A Versatile Scene Model with Differentiable Visibility Applied to
Generative Pose Estimation,
ICCV15(765-773)
IEEE DOI
1602
optimizing the overlap of the projected 3D shape model with images.
BibRef
Brown, M.,
Windridge, D.,
Guillemaut, J.Y.,
Globally Optimal 2D-3D Registration from Points or Lines without
Correspondences,
ICCV15(2111-2119)
IEEE DOI
1602
Annealing
BibRef
Gao, Y.,
Huang, X.,
Zhang, F.,
Fu, Z.,
Yang, C.,
Automatic Geo-Referencing Mobile Laser Scanning Data to UAV Images,
UAV-g15(41-46).
DOI Link
1512
BibRef
Schmid, J.[Jérôme],
Chęnes, C.[Christophe],
Segmentation of X-ray Images by 3D-2D Registration Based on Multibody
Physics,
ACCV14(II: 674-687).
Springer DOI
1504
BibRef
Berkiten, S.[Sema],
Fan, X.[Xinyi],
Rusinkiewicz, S.[Szymon],
Merge2-3D: Combining Multiple Normal Maps with 3D Surfaces,
3DV14(440-447)
IEEE DOI
1503
Geometry
BibRef
Hu, P.[Pan],
Cai, H.M.[Hong-Ming],
Bu, F.L.[Feng-Lin],
SLOREV: Using Classical CAD Techniques for 3D Object Extraction from
Single Photo,
MMMod15(II: 491-501).
Springer DOI
1501
Sweep-Loft-Revolve.
BibRef
Liebold, F.,
Maas, H.G.,
Integrated Georeferencing of LiDAR and Camera Data Acquired from a
Moving Platform,
PCV14(191-196).
DOI Link
1404
BibRef
Kim, H.[Hyojin],
Correa, C.D.,
Max, N.,
Automatic registration of LiDAR and optical imagery using depth map
stereo,
ICCP14(1-8)
IEEE DOI
1411
cameras
BibRef
Budzan, S.[Sebastian],
Fusion of Visual and Range Images for Object Extraction,
ICCVG14(108-115).
Springer DOI
1410
BibRef
Donoser, M.[Michael],
Schmalstieg, D.[Dieter],
Discriminative Feature-to-Point Matching in Image-Based Localization,
CVPR14(516-523)
IEEE DOI
1409
Camera Pose Estimation; Classification; Image-based Localization
BibRef
Xu, J.J.[Jie-Jun],
Kim, K.[Kyungnam],
Zhang, Z.Q.[Zhi-Qi],
Chen, H.W.[Hai-Wen],
Owechko, Y.[Yuri],
2D/3D Sensor Exploitation and Fusion for Enhanced Object Detection,
FusionOutdoor14(778-784)
IEEE DOI
1409
BibRef
Kroeger, T.[Till],
Van Gool, L.J.[Luc J.],
Video Registration to SfM Models,
ECCV14(V: 1-16).
Springer DOI
1408
BibRef
Botterill, T.[Tom],
Green, R.[Richard],
Mills, S.[Steven],
A Decision-Theoretic Formulation for Sparse Stereo Correspondence
Problems,
3DV14(224-231)
IEEE DOI
1503
Cameras
BibRef
Khan, N.,
McCane, B.,
Mills, S.,
3D versus 2D based indoor image matching analysis on images from low
cost mobile devices,
IVCNZ13(253-258)
IEEE DOI
1402
image matching
BibRef
Yoruk, E.,
Vidal, R.,
Efficient Object Localization and Pose Estimation with 3D Wireframe
Models,
3DRR13(538-545)
IEEE DOI
1403
feature extraction
BibRef
Hao, Q.A.[Qi-Ang],
Cai, R.[Rui],
Li, Z.W.[Zhi-Wei],
Zhang, L.[Lei],
Pang, Y.W.[Yan-Wei],
Wu, F.[Feng],
Rui, Y.[Yong],
Efficient 2D-to-3D Correspondence Filtering for Scalable 3D Object
Recognition,
CVPR13(899-906)
IEEE DOI
1309
BibRef
Park, H.S.[Hyun Soo],
Wang, Y.[Yu],
Nurvitadhi, E.[Eriko],
Hoe, J.C.[James C.],
Sheikh, Y.[Yaser],
Chen, M.[Mei],
3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming,
Geo-Loc13(229-236)
IEEE DOI
1309
Image localization. 2D image features and 3D point cloud. Based on training
set of images to reduce the relevan 3D points.
BibRef
Wang, J.[Jian],
Riess, C.[Christian],
Borsdorf, A.[Anja],
Sparse Depth Sampling for Interventional 2-D/3-D Overlay:
Theoretical Error Analysis and Enhanced Motion Estimation,
CAIP13(86-93).
Springer DOI
1308
BibRef
Bahr, T.,
Jin, X.,
Lasica, R.,
Giessel, D.,
Image Registration of High-Resolution UAV Data: The New HYPARE
Algorithm,
UAV-g13(17-19).
DOI Link
1311
BibRef
Bahr, T.,
Jin, X.,
Registration of Optical Data with High-Resolution SAR Data:
A New Image Registration Solution,
Hannover13(19-21).
DOI Link
1308
BibRef
Givens, R.N.[Ryan N.],
Walli, K.C.[Karl C.],
Eismann, M.T.[Michael T.],
Evaluating the Lidar/HSI direct method for physics-based scene
modeling,
AIPR14(1-6)
IEEE DOI
1504
BibRef
Earlier:
A multimodal approach to high resolution image classification,
AIPR13(1-7)
IEEE DOI
1408
BibRef
Earlier:
Fusion of LIDAR data with hyperspectral and high-resolution imagery
for automation of DIRSIG scene generation,
AIPR12(1-7)
IEEE DOI
1307
BibRef
And:
Alternate?
AIPR12(1-7)
IEEE DOI
1307
Registration; fusion; synthetic imagery
geophysical image processing.
DIRSIG: Digital Imaging and Remote Sensing Image Generation Model
BibRef
Matei, B.C.,
Valk, N.V.[N. Vander],
Zhu, Z.W.[Zhi-Wei],
Cheng, H.[Hui],
Sawhney, H.S.,
Image to LIDAR matching for geotagging in urban environments,
WACV13(413-420).
IEEE DOI
1303
BibRef
Haque, M.N.,
Pickering, M.R.,
Biswas, M.,
Frater, M.R.,
Scarvell, J.M.,
Smith, P.N.,
A Slice Based Technique for Low-Complexity 3D/2D Registration of CT to
Single Plane X-Ray Fluoroscopy,
DICTA12(1-6).
IEEE DOI
1303
BibRef
Wang, T.[Tao],
He, X.M.[Xu-Ming],
Barnes, N.M.[Nick M.],
Glass object segmentation by label transfer on joint depth and
appearance manifolds,
ICIP13(2944-2948)
IEEE DOI
1402
BibRef
Earlier:
Glass object localization by joint inference of boundary and depth,
ICPR12(3783-3786).
WWW Link.
1302
with RGB-D camera.
BibRef
Bodensteiner, C.,
Arens, M.,
Real-time 2D video/3D LiDAR registration,
ICPR12(2206-2209).
WWW Link.
1302
BibRef
Adan, A.[Antonio],
Merchan, P.[Pilar],
Salamanca, S.[Santiago],
Creating realistic 3D models from scanners by decoupling geometry and
texture,
ICPR12(457-460).
WWW Link.
1302
Geometry and color/texture at different times.
BibRef
Yang, H.[Heng],
Liu, X.L.[Xiao-Lin],
Patras, I.[Ioannis],
A simple and effective extrinsic calibration method of a camera and a
single line scanning lidar,
ICPR12(1439-1442).
WWW Link.
1302
BibRef
Taneja, A.[Aparna],
Ballan, L.[Luca],
Pollefeys, M.[Marc],
City-Scale Change Detection in Cadastral 3D Models Using Images,
CVPR13(113-120)
IEEE DOI
1309
BibRef
Earlier:
Registration of Spherical Panoramic Images with Cadastral 3D Models,
3DIMPVT12(479-486).
IEEE DOI
1212
3D modeling; Change Detection; Large scale computer vision application
BibRef
Carr, P.[Peter],
Sheikh, Y.[Yaser],
Matthews, I.D.[Iain D.],
Monocular Object Detection Using 3D Geometric Primitives,
ECCV12(I: 864-878).
Springer DOI
1210
BibRef
Fortenbury, B.R.[Billy Ray],
Guerra-filho, G.[Gutemberg],
Robust 2d/3d Calibration Using RANSAC Registration,
ISVC12(I: 179-188).
Springer DOI
1209
BibRef
Rönnholm, P.,
Haggrén, H.,
Registration of Laser Scanning Point Clouds and Aerial Images Using
Either Artificial Or Natural Tie Features,
AnnalsPRS(I-3), No. 2012, pp. 63-68.
DOI Link
1209
BibRef
Briese, C.,
Zach, G.,
Verhoeven, G.,
Ressl, C.,
Ullrich, A.,
Studnicka, N.,
Doneus, M.,
Analysis of Mobile Laser Scanning Data and Multi-View Image
Reconstruction,
ISPRS12(XXXIX-B5:163-168).
DOI Link
1209
BibRef
Lagüela, S.,
Armesto, J.,
Arias, P.,
Zakhor, A.,
Automatic Procedure for The Registration of Thermographic Images With
Point Clouds,
ISPRS12(XXXIX-B5:211-216).
DOI Link
1209
BibRef
Yao, C.J.[Chun-Jing],
Gao, G.[Guang],
The Direct Registration of Lidar Point Clouds and High Resolution Image
Based On Linear Feature By Introducing An Unknown Parameter,
ISPRS12(XXXIX-B4:403-408).
DOI Link
1209
BibRef
Homainejad, A.S.,
An Innovation Approach for Developing a 3D Model by Registering A Mono
Image on a DTM,
ISPRS12(XXXIX-B4:189-194).
DOI Link
1209
BibRef
Chen, L.C.,
Lo, C.Y.,
Edge-based Registration for Airborne Imagery and Lidar Data,
ISPRS12(XXXIX-B3:265-268).
DOI Link
1209
BibRef
Chibunichev, A.G.,
Galakhov, V.P.,
Image To Point Cloud Method of 3d-modeling,
ISPRS12(XXXIX-B3:13-16).
DOI Link
1209
BibRef
Thivierge-Gaulin, D.[David],
Chou, C.R.[Chen-Rui],
Kiraly, A.P.[Atilla P.],
Chef d'Hotel, C.[Christophe],
Strobel, N.[Norbert],
Cheriet, F.[Farida],
3D-2D Registration Based on Mesh-Derived Image Bisection,
WBIR12(70-78).
Springer DOI
1208
BibRef
Petre, R.D.,
Zaharia, T.,
3D Model-Based Sematic Labeling of 2D Objects,
DICTA11(152-157).
IEEE DOI
1205
Still image object categorization.
2D/3D matching techniques.
BibRef
Jayawardena, S.,
Hutter, M.,
Brewer, N.,
A Novel Illumination-Invariant Loss for Monocular 3D Pose Estimation,
DICTA11(37-44).
IEEE DOI
1205
BibRef
Earlier:
Featureless 2D-3D pose estimation by minimising an
illumination-invariant loss,
IVCNZ10(1-8).
IEEE DOI
1203
BibRef
Song, H.O.[Hyun Oh],
Fritz, M.[Mario],
Gu, C.H.[Chun-Hui],
Darrell, T.J.[Trevor J.],
Visual grasp affordances from appearance-based cues,
RobPerc11(998-1005).
IEEE DOI
1201
From 2-D.
BibRef
Wang, C.H.[Chao-Hui],
Zeng, Y.[Yun],
Simon, L.[Loic],
Kakadiaris, I.[Ioannis],
Samaras, D.[Dimitris],
Paragios, N.[Nikos],
Viewpoint invariant 3D landmark model inference from monocular 2D
images using higher-order priors,
ICCV11(319-326).
IEEE DOI
1201
BibRef
Sattler, T.[Torsten],
Leibe, B.[Bastian],
Kobbelt, L.[Leif],
Fast image-based localization using direct 2D-to-3D matching,
ICCV11(667-674).
IEEE DOI
1201
BibRef
Cheng, C.M.[Chia-Ming],
Chen, H.W.[Hsiao-Wei],
Lee, T.Y.[Tung-Ying],
Lai, S.H.[Shang-Hong],
Tsai, Y.H.[Ya-Hui],
Robust 3D object pose estimation from a single 2D image,
VCIP11(1-4).
IEEE DOI
1201
BibRef
Swart, A.[Arjen],
Broere, J.[Jonathan],
Veltkamp, R.[Remco],
Tan, R.[Robby],
Refined Non-rigid Registration of a Panoramic Image Sequence to a LiDAR
Point Cloud,
PIA11(73-84).
Springer DOI
1110
BibRef
Sawada, Y.[Yoshihide],
Hontani, H.[Hidekata],
A Comparison Study of Inferences on Graphical Model for Registering
Surface Model to 3D Image,
MLMI11(257-264).
Springer DOI
1109
BibRef
Hanai, R.,
Yamazaki, K.,
Yaguchi, H.,
Okada, K.,
Inaba, M.,
Electric Appliance Parts Classification Using a Measure Combining the
Whole Shape and Local Shape Distribution Similarities,
3DIMPVT11(296-303).
IEEE DOI
1109
BibRef
Baboud, L.[Lionel],
Cadik, M.[Martin],
Eisemann, E.[Elmar],
Seidel, H.P.[Hans-Peter],
Automatic photo-to-terrain alignment for the annotation of mountain
pictures,
CVPR11(41-48).
IEEE DOI
1106
BibRef
Pritt, M.D.[Mark D.],
Gribbons, M.[Michael],
La Tourette, K.[Kevin],
Automated cross-sensor registration, orthorectification and
geopositioning using LIDAR digital elevation models,
AIPR10(1-6).
IEEE DOI
1010
BibRef
Imre, E.[Evren],
Hilton, A.[Adrian],
Through-the-Lens Synchronisation for Heterogeneous Camera Networks,
BMVC12(97).
DOI Link
1301
BibRef
Imre, E.[Evren],
Guillemaut, J.Y.[Jean-Yves],
Hilton, A.[Adrian],
Calibration of Nodal and Free-Moving Cameras in Dynamic Scenes for
Post-Production,
3DIMPVT11(260-267).
IEEE DOI
1109
BibRef
Earlier:
Moving Camera Registration for Multiple Camera Setups in Dynamic Scenes,
BMVC10(xx-yy).
HTML Version.
1009
Register the moving camera given a set of registered static views and 3-D
model.
BibRef
Meierhold, N.,
Spehr, M.[Marcel],
Schilling, A.,
Gumhold, S.[Stefan],
Maas, H.G.,
Automatic Feature Matching Between Digital Images And 2d
Representations Of A 3d Laser Scanner Point Cloud,
CloseRange10(xx-yy).
PDF File.
1006
See also GPU-based Volumetric Reconstruction Of Trees From Multiple Images.
BibRef
Ruggeri, M.R.[Mauro R.],
Saupe, D.[Dietmar],
Isometry-Invariant Matching Of Point Set Surfaces,
3DOR08(17-24)
DOI Link
1301
BibRef
Zheng, H.W.[Hong-Wei],
Cleju, I.[Ioan],
Saupe, D.[Dietmar],
Highly-Automatic MI Based Multiple 2D/3D Image Registration Using
Self-initialized Geodesic Feature Correspondences,
ACCV09(III: 426-435).
Springer DOI
0909
BibRef
Agrawal, A.[Anuraag],
Matsumura, M.[Miki],
Nakazawa, A.[Atsushi],
Takemura, H.[Haruo],
Large-scale 3D scene modeling by registration of laser range data with
Google Maps images,
ICIP09(589-592).
IEEE DOI
0911
BibRef
del Bue, A.[Alessio],
Stosic, M.[Marko],
Dodig, M.[Marija],
Xavier, J.[Joao],
2D-3D registration of deformable shapes with manifold projection,
ICIP09(1061-1064).
IEEE DOI
0911
BibRef
Borgeat, L.[Louis],
Poirier, G.[Guillaume],
Beraldin, A.[Angelo],
Godin, G.[Guy],
Massicotte, P.[Philippe],
Picard, M.[Michel],
A framework for the registration of color images with 3D models,
ICIP09(69-72).
IEEE DOI
0911
BibRef
Mei, L.[Liang],
Liu, J.G.[Jin-Gen],
Hero, A.O.[Alfred O.],
Savarese, S.[Silvio],
Robust object pose estimation via statistical manifold modeling,
ICCV11(967-974).
IEEE DOI
1201
BibRef
Mei, L.[Liang],
Sun, M.[Min],
Carder, K.M.[Kevin M.],
Hero, III, A.O.[Alfred O.],
Savarese, S.[Silvio],
Unsupervised Object Pose Classification from Short Video Sequences,
BMVC09(xx-yy).
PDF File.
0909
Object pose from small camera movements.
Cars, computer mouse.
BibRef
Vasile, A.,
Waugh, F.R.,
Greisokh, D.,
Heinrichs, R.M.,
Automatic Alignment of Color Imagery onto 3D Laser Radar Data,
AIPR06(6-6).
IEEE DOI
0610
BibRef
Walli, K.C.,
Rhody, H.,
Automated image registration to 3-D scene models,
AIPR08(1-8).
IEEE DOI
0810
BibRef
Earlier: A1, Only:
Automated multisensor image registration,
AIPR03(103-107).
IEEE DOI
0310
BibRef
Trinder, J.C.[John C.],
Salah, M.[Mahmoud],
Aerial Images and Lidar Data Fusion for Disaster Change Detection,
AnnalsPRS(I-4), No. 2012, pp. 227-232.
DOI Link
1209
BibRef
Salah, M.[Mahmoud],
Trinder, J.C.[John C.],
Shaker, A.[Ahmed],
Hamed, M.[Mahmoud],
Elsagheer, A.[Ali],
Aerial Images and Lidar Data Fusion for Automatic Feature Extraction
using the Self-Organizing Map (SOM) Classifier,
Laser09(317).
0909
BibRef
Overett, G.[Gary],
Petersson, L.[Lars],
Fast features for time constrained object detection,
FeatureSpace09(23-30).
IEEE DOI
0906
Learn feature points by matching to model.
BibRef
Zhu, J.J.[Jie-Jie],
Liao, M.[Miao],
Yang, R.G.[Rui-Gang],
Pan, Z.G.[Zhi-Geng],
Joint depth and alpha matte optimization via fusion of stereo and
time-of-flight sensor,
CVPR09(453-460).
IEEE DOI
0906
Depth map and object boundaries.
BibRef
Lin, Z.[Zhe],
Hua, G.[Gang],
Davis, L.S.[Larry S.],
Multi-scale shared features for cascade object detection,
ICIP12(1865-1868).
IEEE DOI
1302
BibRef
Earlier:
Multiple instance fFeature for robust part-based object detection,
CVPR09(405-412).
IEEE DOI
0906
Deal with features that are not always detected. Initial guess at object,
then find features.
BibRef
Mastin, A.[Andrew],
Kepner, J.[Jeremy],
Fisher, J.[John],
Automatic registration of LIDAR and optical images of urban scenes,
CVPR09(2639-2646).
IEEE DOI
0906
BibRef
Kaminsky, R.S.[Ryan S.],
Snavely, N.[Noah],
Seitz, S.M.[Steven M.],
Szeliski, R.S.[Richard S.],
Alignment of 3D point clouds to overhead images,
InterNet09(63-70).
IEEE DOI
0906
See also Modeling the World from Internet Photo Collections.
BibRef
Cho, P.[Peter],
Snavely, N.[Noah],
3D exploitation of 2D ground-level & aerial imagery,
AIPR11(1-8).
IEEE DOI
1204
BibRef
Wang, L.[Lu],
Neumann, U.[Ulrich],
A robust approach for automatic registration of aerial images with
untextured aerial LiDAR data,
CVPR09(2623-2630).
IEEE DOI
0906
BibRef
Wang, Q.[Quan],
Guan, W.[Wei],
You, S.[Suya],
Augmented distinctive features for efficient image matching,
WACV11(15-22).
IEEE DOI
1101
BibRef
Wang, Q.[Quan],
You, S.[Suya],
Explore multiple clues for urban images matching,
ICIP10(4621-4624).
IEEE DOI
1009
BibRef
Earlier:
Feature selection for real-time image matching systems,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Wang, L.[Lu],
Neumann, U.[Ulrich],
You, S.[Suya],
Wide-baseline image matching using Line Signatures,
ICCV09(1311-1318).
IEEE DOI
0909
BibRef
Wang, L.[Lu],
You, S.[Suya],
Neumann, U.[Ulrich],
Semiautomatic registration between ground-level panoramas and an
orthorectified aerial image for building modeling,
VRML07(1-8).
IEEE DOI
0710
See also Generating and Updating Textures for a Large-Scale Environment.
BibRef
von Hansen, W.[Wolfgang],
Gross, H.[Hermann],
Thoennessen, U.[Ulrich],
Line-Based Registration of Terrestrial and Airborne LIDAR Data,
ISPRS08(B3a: 161 ff).
PDF File.
0807
BibRef
Lewis, P.[Paul],
McElhinney, C.[Conor],
Schön, B.[Bianca],
McCarthy, T.[Tim],
Mobile Mapping System LIDAR Data Framework,
GeoInfo10(xx-yy).
PDF File.
1011
BibRef
McCarthy, T.[Timothy],
Zheng, J.H.[Jiang-Hua],
Fotheringham, A.S.[A. Stewart],
Integration of dynamic LiDAR and image sensor data for route corridor
mapping,
ISPRS08(B5: 1125 ff).
PDF File.
0807
BibRef
Bienert, A.[Anne],
Maas, H.G.[Hans-Gerd],
Methods for the automatic geometric registration of terrestrial laser
scanner point clouds in forest stands,
Laser09(93).
0909
See also Tree Detection and Diameter Estimations by Analysis of Forest Terrestrial Laserscanner Point Clouds.
BibRef
Huang, J.[Jing],
You, S.[Suya],
Point cloud labeling using 3D Convolutional Neural Network,
ICPR16(2670-2675)
IEEE DOI
1705
BibRef
Earlier:
Point cloud matching based on 3D self-similarity,
PCP12(41-48).
IEEE DOI
1207
Labeling, Neural networks, Testing, Training, Training data,
BibRef
Huang, J.[Jing],
You, S.[Suya],
Zhao, J.P.[Jia-Ping],
Multimodal image matching using self similarity,
AIPR11(1-6).
IEEE DOI
1204
BibRef
Wang, Q.[Quan],
You, S.[Suya],
A vision-based 2D-3D registration system,
WACV09(1-8).
IEEE DOI
0912
BibRef
Earlier:
Real-Time Image Matching Based on Multiple View Kernel Projection,
Fusion07(1-8).
IEEE DOI
0706
BibRef
Meierhold, N.[Nadine],
Schmich, A.[Armin],
Referencing of images to laser scanner data using linear features
extracted from digital images and range images,
Laser09(164).
0909
BibRef
Meierhold, N.[Nadine],
Bienert, A.,
Schmich, A.[Armin],
Line-Based Referencing between Images and Laser Scanner Data for
Image-Based Point Cloud Interpretation in a CAD-Environment,
ISPRS08(B5: 437 ff).
PDF File.
0807
BibRef
Kang, Z.Z.[Zhi-Zhong],
Automatic Registration of Terrestrial Point Cloud Using Panoramic
Reflectance Images,
ISPRS08(B5: 431 ff).
PDF File.
0807
BibRef
Sotoodeh, S.,
Gruen, A.,
Hanusch, T.,
Integration of Structured Light and Digital Camera Image Data for the
3D Reconstruction of an Ancient Globe,
ISPRS08(B5: 367 ff).
PDF File.
0807
BibRef
Novák, D.[David],
Semi-Automatic Orientation of Images With Respect to a Point Cloud
System,
ISPRS08(B3b: 295 ff).
PDF File.
0807
BibRef
Rönnholm, P.[Petri],
Honkavaara, E.[Eija],
Erving, A.[Anna],
Nuikka, M.[Milka],
Haggrén, H.[Henrik],
Kaasalainen, S.[Sanna],
Hyyppä, H.[Hannu],
Hyyppä, J.[Juha],
Registration of Airborne Laser Scanning Point Clouds with Aerial Images
through Terrestrial Image Blocks,
ISPRS08(B1: 473 ff).
PDF File.
0807
BibRef
Deng, F.[Fei],
Hu, M.J.[Min-Jie],
Guan, H.Y.[Hai-Yan],
Automatic Registration Between LIDAR and Digital Images,
ISPRS08(B1: 487 ff).
PDF File.
0807
BibRef
Ding, M.[Min],
Lyngbaek, K.[Kristian],
Zakhor, A.[Avideh],
Automatic registration of aerial imagery with untextured 3D LiDAR
models,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Beder, C.[Christian],
Schiller, I.[Ingo],
Koch, R.[Reinhard],
Photoconsistent Relative Pose Estimation between a PMD 2D3D-Camera and
Multiple Intensity Cameras,
DAGM08(xx-yy).
Springer DOI
0806
BibRef
Yan, P.K.[Ping-Kun],
Khan, S.M.[Saad M.],
Shah, M.[Mubarak],
3D Model based Object Class Detection in An Arbitrary View,
ICCV07(1-6).
IEEE DOI
0710
Match 2D image to 3D model.
BibRef
Grest, D.[Daniel],
Petersen, T.[Thomas],
Krüger, V.[Volker],
A Comparison of Iterative 2D-3D Pose Estimation Methods for Real-Time
Applications,
SCIA09(706-715).
Springer DOI
0906
BibRef
Franz, M.O.[Matthias O.],
Stamminger, M.[Marc],
2D-3D-Registration in Computer Tomography without an initial pose,
VMV06(229-236).
WWW Link.
BibRef
0600
Ryberg, A.,
Christiansson, A.K.,
Eriksson, K.,
Accuracy Investigation of a Vision Based System for Pose Measurements,
ICARCV06(1-6).
IEEE DOI
0612
BibRef
Decker, P.[Peter],
Paulus, D.[Dietrich],
Feldmann, T.[Tobias],
Dealing with degeneracy in essential matrix estimation,
ICIP08(1964-1967).
IEEE DOI
0810
BibRef
Kubias, A.[Alexander],
Deinzer, F.[Frank],
Feldmann, T.[Tobias],
Paulus, D.[Dietrich],
Extended Global Optimization Strategy for Rigid 2D/3D Image
Registration,
CAIP07(759-767).
Springer DOI
0708
BibRef
Barrois, B.[Bjorn],
Wohler, C.[Christian],
3D Pose Estimation Based on Multiple Monocular Cues,
BenCOS07(1-8).
IEEE DOI
0706
Compare image to synthetic image from CAD model.
BibRef
Di, H.J.[Hui-Jun],
Iqbal, R.N.[Rao Naveed],
Xu, G.Y.[Guang-You],
Tao, L.M.[Lin-Mi],
Groupwise Shape Registration on Raw Edge Sequence via A Spatio-Temporal
Generative Model,
CVPR07(1-8).
IEEE DOI
0706
BibRef
Liebelt, J.[Joerg],
Schmid, C.[Cordelia],
Multi-view object class detection with a 3D geometric model,
CVPR10(1688-1695).
IEEE DOI
1006
BibRef
Liebelt, J.[Joerg],
Schmid, C.[Cordelia],
Schertler, K.[Klaus],
Viewpoint-independent object class detection using 3D Feature Maps,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Liebelt, J.[Joerg],
Schertler, K.[Klaus],
Precise Registration of 3D Models To Images by Swarming Particles,
CVPR07(1-8).
IEEE DOI
0706
BibRef
Hong, H.[Helen],
Kim, K.[Kyehyun],
Park, S.J.[Seong-Jin],
Fast 2D-3D Point-Based Registration Using GPU-Based Preprocessing for
Image-Guided Surgery,
CIARP06(218-226).
Springer DOI
0611
BibRef
Al-Manasir, K.,
Fraser, C.S.,
Automatic registration of terrestrial laserscanner data via imagery,
IEVM06(xx-yy).
PDF File.
0609
BibRef
Pong, H.K.[Hon-Keat],
Cham, T.J.[Tat-Jen],
Optimal Cascade Construction for Detection using 3D Models,
ICPR06(I: 808-811).
IEEE DOI
0609
BibRef
Earlier:
Object Detection Using a Cascade of 3D Models,
ACCV06(II:284-293).
Springer DOI
0601
Alignment for detection. Hierarchy of models.
BibRef
Pong, H.K.[Hon-Keat],
Cham, T.J.[Tat-Jen],
Alignment of 3D Models to Images Using Region-Based Mutual Information
and Neighborhood Extended Gaussian Images,
ACCV06(I:60-69).
Springer DOI
0601
BibRef
Lipikorn, R.[Rajalida],
Shimizu, A.[Akinobu],
Kobatake, H.[Hidefumi],
Three-Dimensional Object Recognition Using a Modified Exoskeleton and
Extended Hausdorff Distance Matching Algorithm,
ICIAR04(I: 697-704).
Springer DOI
0409
BibRef
Janko, Z.,
Chetverikov, D.,
Photo-consistency based registration of an uncalibrated image pair to a
3D surface model using genetic algorithm,
3DPVT04(616-622).
IEEE DOI
0412
BibRef
And:
Registration of an uncalibrated image pair to a 3d surface model,
ICPR04(II: 208-211).
IEEE DOI
0409
See also Pre-registration of arbitrarily oriented 3D surfaces using a genetic algorithm.
BibRef
Liu, Q.,
Lou, J.,
Hu, W.,
Tan, T.,
Pose Evaluation Based on Bayesian classification Error,
BMVC03(xx-yy).
HTML Version.
0409
BibRef
Morris, R.D.[Robin D.],
Smelyanskiy, V.N.[Vadim N.],
Cheeseman, P.C.[Peter C.],
Matching Images to Models:
Camera Calibration for 3-D Surface Reconstruction,
EMMCVPR01(105-117).
Springer DOI
0205
BibRef
Schultz, H.,
Woo, D.,
Stolle, F.R.,
Riseman, E.M.,
Error Detection and DEM Fusion using Self-Consistency,
ICCV99(1174-1181).
IEEE DOI
BibRef
9900
Leventon, M.E.,
Wells, III, W.M.,
Grimson, W.E.L.,
Multiple View 2D-3D Mutual Information Registration,
DARPA97(625-630).
BibRef
9700
Ferrell, C.,
Orientation Behavior Using Registered Topographic Maps,
DARPA97(1367-1372).
BibRef
9700
Connolly, C.I.,
Mundy, J.L.,
Stenstrom, J.R., and
Thompson, D.W.,
Matching from 3-D Range Models into 2-D Intensity Scenes,
ICCV87(65-72).
The model is a range scene, the image is the intensity image.
See also Constructing Object Models from Multiple Images.
BibRef
8700
Thompson, D.W.,
Mundy, J.L.,
Three Dimensional Model Matching from an Unconstrained Viewpoint,
CRA87(208-220).
BibRef
8700
Quan, L.[Long],
Mohr, R.,
Thirion, E.,
Generating the initial hypothesis using perspective invariants for a 2D
image and 3D model matching,
ICPR88(II: 872-874).
IEEE DOI
8811
BibRef
Little, J.J.,
Automatic Registration of Landsat MSS Images to
Digital Elevation Models,
CVWS82(178-184).
BibRef
8200
Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Range Data Matching -- Accumulation Methods .