12.3.4 Surfaces and Range Data Matching

Chapter Contents (Back)
Surface Matching. Registration, Range. Matching, Surfaces. Matching, Range Data.

Shirai, Y.[Yoshiaki],
Recognition of Polyhedrons with a Range Finder,
PR(4), No. 3, October 1972, pp. 243-244.
WWW Version. BibRef 7210
And: Bul. Electrotech. Lab.(35), No. 3, 1971, pp. 290-296. BibRef
Earlier: With: Suwa, M., IJCAI71(80-87). Compute the planes and match according to the relations between planes. BibRef

Oshima, M.[Masaki], and Shirai, Y.[Yoshiaki],
A Scene Description Method Using Three Dimensional Information,
PR(11), No. 1, 1979, pp. 9-17.
WWW Version. BibRef 7900

Oshima, M., and Shirai, Y.,
Object Recognition Using Three-Dimensional Information,
PAMI(5), No. 4, July 1983, pp. 353-361. BibRef 8307
Earlier: IJCAI81(601-606). Recognize Three-Dimensional Objects. Use a vertical slit projector and a TV to get the range. Surface orientation from a few points (assume they are planes). Elementary regions from similar orientations. Classify regions as planar or curved, extend and merge curved regions. Matching: Choose a kernel (2 regions, planar, many neighbors, large, adjacent). The kernel forces the match for the other regions. The kernel can be only 1 region if that is all that qualifies. BibRef

Bhanu, B.[Bir],
Representation and Shape Matching of 3-D Objects,
PAMI(6), No. 3, May 1984, pp. 340-351. BibRef 8405
Earlier:
Surface Representation and Shape Matching of 3-D Objects,
PRIP82(349-354). Analysis of the laser ranger data to generate surfaces (near planar regions). And matching of these representations to identify the object. BibRef

Bhanu, B.[Bir], and Nuttall, L.A.[Lawrence A.],
Recognition of 3-D Objects in Range Images Using a Butterfly Multiprocessor,
PR(22), No. 1, 1989, pp. 49-64.
WWW Version. BibRef 8900

Bhanu, B.[Bir], and Ming, J.C.[John C.],
Clustering Based Recognition of Occluded Objects,
ICPR86(732-734). BibRef 8600

Goldgof, D.B., Huang, T.S., and Lee, H.,
A Curvature-Based Approach to Terrain Recognition,
PAMI(11), No. 11, November 1989, pp. 1213-1217.
IEEE via DOI BibRef 8911
Earlier: CVPR88(899-904).
IEEE Abstract. Surface segmentation by iterative growing regions. Match the three-dimensional terrain maps using curvature and fit a surface to the data. See the comparison: See also Experimental Comparison of Range Image Segmentation Algorithms, An. BibRef

Mulgaonkar, P.G., Cowan, C.K., and de Curtins, J.,
Understanding Object Configurations Using Range Images,
PAMI(14), No. 2, February 1992, pp. 303-307.
IEEE via DOI BibRef 9202

Maes, F., Collignon, A., Vandermeulen, D.[Dirk], Suetens, P.[Paul], Marchal, G.,
Multimodality Image Registration by Maximization of Mutual Information,
MedImg(16), No. 2, April 1997, pp. 187-198.
IEEE Top Reference. 0205
BibRef
Earlier: A1, A2, A3, A5, A4: MMBIA96(REGISTRATION I) BibRef

Collignon, A., Vandermeulen, D., Suetens, P., Marchal, G.,
Registration of 3D Multimodality Medical Images Using Surfaces and Point Landmarks,
PRL(15), No. 5, May 1994, pp. 461-467. BibRef 9405
Earlier:
3D Multi-Modality Medical Image Registration Using Feature Space Clustering,
CVRMed95(XX-YY) BibRef

Claes, P., Vandermeulen, D., Van Gool, L.J., Suetens, P.,
Robust and accurate partial surface registration based on variational implicit surfaces for automatic 3D model building,
3DIM05(385-392).
IEEE via DOI 0508
BibRef

Claes, P., Vandermeulen, D., Van Gool, L.J., Suetens, P.[Paul],
Partial surface integration based on variational implicit functions and surfaces for 3D model building,
3DIM05(31-38).
IEEE via DOI 0508
BibRef

Bergevin, R., Laurendeau, D., Poussart, D.,
Registering Range Views of Multipart Objects,
CVIU(61), No. 1, January 1995, pp. 1-16.
DOI Link BibRef 9501
Earlier:
Estimating the 3D Rigid Transformation Between Two Range Views of a Complex Object,
ICPR92(I:478-482).
IEEE via DOI BibRef

Godin, G., Laurendeau, D., Bergevin, R.,
A method for the registration of attributed range images,
3DIM01(179-186).
IEEE via DOI 0106
BibRef

Bergevin, R., Soucy, M., Gagnon, H., and Laurendeau, D.,
Towards a General Multiview Registration Technique,
PAMI(18), No. 5, May 1996, pp. 540-547.
IEEE via DOI 9606
Combine multiple range images inot one. See also General Surface Approach to the Integration of a Set of Range Views, A. BibRef

Gagnon, H., Soucy, M., Bergevin, R., Laurendeau, D.,
Registration of Multiple Range Views for Automatic 3-D Model Building,
CVPR94(581-586).
IEEE Abstract. BibRef 9400

Higuchi, K.[Kazunori], Hebert, M.[Martial], Ikeuchi, K.[Katsushi],
Building 3-D Models from Unregistered Range Images,
GMIP(57), No. 4, July 1995, pp. 315-333. BibRef 9507
And: MfR01(Chapter I-2). BibRef
And: CMU-CS-TR-93-214, November 1993.
Postscript Link. BibRef

Fisher, R.B.[Robert B.],
From Surfaces to Objects: Computer Vision and Three Dimensional Scene Analysis,
Wiley1989. ISBN 0471923443. BibRef 8900 Edinburgh
WWW Version. BibRef

Fillatreau, P., and Fisher, R.B.,
Non-Polyhedral Landmark Recognition using 3D Depth Images and Partially Correct Models,
SIRS95(271-278). BibRef 9500
Earlier: DAI-No. 752, June 1995. BibRef Edinburgh BibRef

Fisher, R.B., Fitzgibbon, A.W., Waite, M., Orr, M., and Trucco, E.,
Recognition of Complex 3-D Objects from Range Data,
CIAP93(509-606). 3D object recognition
Postscript Link. BibRef 9300 Edinburgh BibRef

Bispo, E.M., Fitzgibbon, A.W., Fisher, R.B.,
Visually Salient 3D Model Acquisition from Range Data,
BMVC93(619-628).
PDF Link. automatic 3D shape model acquisition from range data
Postscript Link. BibRef 9300 Edinburgh BibRef

Fisher, R.B.[Robert B.],
Using Surfaces and Object Models to Recognize Partially Obscured Objects,
IJCAI83(989-995). BibRef 8300 Edinburgh Recognize Three-Dimensional Objects. Hypothesize the location based on matching surfaces and a model. Describe the input data in terms of the model, verify the vmatch. BibRef

Thirion, J.P.,
New Feature Points Based on Geometric Invariants for 3D Image Registration,
IJCV(18), No. 2, May 1996, pp. 121-137.
Springer via DOI 9608
BibRef
Earlier:
Extremal Points: Definition and Application to 3D Image Registration,
CVPR94(587-592).
IEEE Abstract. BibRef

Shashua, A.[Amnon], and Toelg, S.[Sebastian],
The Quadric Reference Surface: Theory and Applications,
IJCV(23), No. 2, June 1997, pp. 185-198.
DOI Link 9708
BibRef
Earlier: ARPA94(II:1451-1459). BibRef
And: MIT AI Memo-1448, June 1994.
WWW Version. BibRef
And:
The Quadric Reference Surface: Applications in Registering Views of Complex 3D Objects,
ECCV94(B:407-416).
Springer via DOI BibRef

Ham, Y.K.[Young Kug], Park, R.H.[Rae-Hong],
3D Object Recognition in Range Images Using Hidden Markov Models and Neural Networks,
PR(32), No. 5, May 1999, pp. 729-742.
WWW Version. See also Hybrid Approaches to Frontal View Face Recognition Using the Hidden Markov Model and Neural-Network. BibRef 9905

Rodrigues, M.A.[Marcos A.], Fisher, R.B.[Robert B.], Liu, Y.H.[Yong-Huai],
Special Issue on Registration and Fusion of Range Images,
CVIU(87), No. 1-3, July 2002, pp. 1-7.
WWW Version. 0301
BibRef

Gruen, A.[Armin], Akca, D.[Devrim],
Least squares 3D surface and curve matching,
PandRS(59), No. 3, May 2005, pp. 151-174.
WWW Version. 0509
BibRef
Earlier: A2, A1:
Fast correspondence search for 3D surface matching,
Laser05(xx-yy).
PDF Link. 0509
BibRef

Liu, H.[Heng], Yan, J.Q.[Jing-Qi], Zhang, D.[David],
What is wrong with mesh PCA in coordinate direction normalization,
PR(39), No. 11, November 2006, pp. 2244-2247.
WWW Version. 0608
Mesh PCA; Surface registration; Coordinate direction normalization BibRef

Refice, A., Bovenga, F., Nutricato, R.,
MST-Based Stepwise Connection Strategies for Multipass Radar Data, With Application to Coregistration and Equalization,
GeoRS(44), No. 8, August 2006, pp. 2029-2040.
IEEE via DOI 0608
BibRef

Tagare, H.D.[Hemant D.], Groisser, D.[David], Skrinjar, O.[Oskar],
Symmetric Non-Rigid Registration: A Geometric Theory and Some Numerical Techniques,
JMIV(34), No. 1, May 2009, pp. xx-yy.
Springer via DOI 0905
BibRef
Earlier:
A Geometric Theory of Symmetric Registration,
MMBIA06(73).
IEEE via DOI 0609
BibRef

Sampat, M.P.[Mehul P.], Wang, Z.[Zhou], Gupta, S.[Shalini], Bovik, A.C.[Alan C.], Markey, M.K.[Mia K.],
Complex Wavelet Structural Similarity: A New Image Similarity Index,
IP(18), No. 11, November 2009, pp. 2385-2401.
IEEE via DOI 0911
BibRef
Earlier: A3, A1, A5, A4, A2:
Facial Range Image Matching Using the Complex Wavelet Structural Similarity Metric,
WACV07(4-4).
IEEE via DOI 0702
BibRef

Rehman, A.[Abdul], Gao, Y.[Yang], Wang, J.[Jiheng], Wang, Z.[Zhou],
Image classification based on complex wavelet structural similarity,
SP:IC(28), No. 8, 2013, pp. 984-992.
Elsevier via DOI 1309
Complex-wavelet structural similarity BibRef

Hillenbrand, U.[Ulrich], Fuchs, A.[Alexander],
An experimental study of four variants of pose clustering from dense range data,
CVIU(115), No. 10, October 2011, pp. 1427-1448.
Elsevier via DOI 1108
Robust estimation; Pose estimation; Range data; Parameter density; Clustering; Performance evaluation BibRef


Kim, B.S.[Byung-Soo], Xu, S.[Shili], Savarese, S.[Silvio],
Accurate Localization of 3D Objects from RGB-D Data Using Segmentation Hypotheses,
CVPR13(3182-3189)
IEEE via DOI 1309
3D localization; Object detection; Object recognition; RGB-D BibRef

Shapovalov, R.[Roman], Vetrov, D.[Dmitry], Kohli, P.[Pushmeet],
Spatial Inference Machines,
CVPR13(2985-2992)
IEEE via DOI 1309
3D point clouds Interpretation of 3D point clouds. BibRef

Cha, Y.W.[Young-Woon], Lim, H.[Hwasup], Lee, S.O.[Seong-Oh], Kim, H.G.[Hyoung-Gon], Ahn, S.C.[Sang Chul],
Spin Image Revisited: Fast Candidate Selection Using Outlier Forest Search,
CDF12(II:209-222).
Springer via DOI 1304
BibRef

Maeda, M.[Makoto], Nakamae, T.[Takashi], Inoue, K.[Katsuhiro],
Surface matching by curvature distribution images generated via gaze modeling,
ICPR12(2194-2197).
WWW Version. 1302
BibRef

Zhang, Z.Y.[Zhi-Yuan], Ong, S.H.[Sim Heng], Foong, K.[Kelvin],
Improved spin images for 3D surface matching using signed angles,
ICIP12(537-540).
IEEE via DOI 1302
BibRef

Ren, C.Y.[Carl Yuheng], Reid, I.D.[Ian D.],
A Unified Energy Minimization Framework for Model Fitting in Depth,
CDC4CV12(II: 72-82).
Springer via DOI 1210
BibRef

Wujanz, D.,
Towards Transparent Quality Measures In Surface Based Registration Processes: Effects of Deformation Onto Commercial and Scientific Implementations,
ISPRS12(XXXIX-B5:251-256).
DOI Link 1209
BibRef

Biasotti, S.[Silvia],
Shape comparison through mutual distances of real functions,
3DOR10(33-38).
DOI Link 1111
BibRef

Halma, A.[Arvid], ter Haar, F.[Frank], Bovenkamp, E.[Ernst], Eendebak, P.[Pieter], van Eekeren, A.[Adam],
Single spin image-ICP matching for efficient 3D object recognition,
3DOR10(21-26).
DOI Link 1111
BibRef

Tong, C.[Can], Kamata, S.I.[Sei-Ichiro],
3D object matching based on spherical Hilbert scanning,
ICIP10(2941-2944).
IEEE via DOI 1009
BibRef

Ohbuchi, R.[Ryutarou], Furuya, T.[Takahiko],
Distance metric learning and feature combination for shape-based 3D model retrieval,
3DOR10(63-68).
DOI Link 1111
BibRef
Earlier: A2, A1:
Dense sampling and fast encoding for 3D model retrieval using bag-of-visual features,
CIVR09(Article No 26).
DOI Link 0907
BibRef
Earlier: A1, A2:
Scale-weighted dense bag of visual features for 3D model retrieval from a partial view 3D model,
S3DV09(63-70).
IEEE via DOI 0910
BibRef

He, M.Y.[Ming-Yuan], Guan, J.P.[Ji-Ping], Ma, W.M.[Wei-Ming], Shi, W.[Wei],
Satellite Image Positioning Method Based upon Aligning Surface Characteristics,
CISP09(1-5).
IEEE via DOI 0910
BibRef

Hermans, J.[Jeroen], Smeets, D.[Dirk], Vandermeulen, D.[Dirk], Suetens, P.[Paul],
Robust point set registration using EM-ICP with information-theoretically optimal outlier handling,
CVPR11(2465-2472).
IEEE via DOI 1106
BibRef

Smeets, D.[Dirk], Hermans, J.[Jeroen], Vandermeulen, D.[Dirk], Suetens, P.[Paul],
Dense shape correspondences using spectral high-order graph matching,
NORDIA11(1-8).
IEEE via DOI 1106
BibRef

Smeets, D.[Dirk], Fabry, T.[Thomas], Hermans, J.[Jeroen], Vandermeulen, D.[Dirk], Suetens, P.[Paul],
Inelastic Deformation Invariant Modal Representation for Non-rigid 3D Object Recognition,
AMDO10(162-171).
Springer via DOI 1007
BibRef
Earlier:
Isometric Deformation Modelling for Object Recognition,
CAIP09(757-765).
Springer via DOI 0909
Geodesic distance matrices. BibRef

Li, X.J.[Xin-Ju], Guskov, I.[Igor],
3D object recognition from range images using pyramid matching,
ICCV07(1-6).
IEEE via DOI 0710
BibRef

Mademlis, A., Daras, P., Tzovaras, D., Strintzis, M.G.,
On 3D Partial Matching of Meaningful Parts,
ICIP07(II: 517-520).
IEEE via DOI 0709
BibRef

Germann, M.[Marcel], Breitenstein, M.D.[Michael D.], Park, I.K.[In Kyu], Pfister, H.[Hanspeter],
Automatic Pose Estimation for Range Images on the GPU,
3DIM07(81-90).
IEEE via DOI 0708
Shape matching of 3-D modelto range image. BibRef

Gefen, S.[Smadar], Kiryati, N.[Nahum], Bertrand, L.[Louise], Nissanov, J.[Jonathan],
Planar-to-Curved-Surface Image Registration,
MMBIA06(72).
IEEE via DOI 0609
BibRef

Smith, W.A.P.[William A.P.], Hancock, E.R.[Edwin R.],
Surface Integration: Two Statistical Approaches,
CIAP07(343-350).
IEEE via DOI 0709
BibRef

Fraile, R.[Roberto], Hancock, E.R.[Edwin R.],
Diffusion of Geometric Affinity for Surface Integration,
SSPR06(92-99).
Springer via DOI 0608
BibRef
Earlier:
Combinatorial Surface Integration,
ICPR06(I: 59-62).
IEEE via DOI 0609
See also Spectral Modes of Facial Needle-Maps. BibRef

Gupta, D., Kumar, A., Daniilidis, K.[Kostas],
Using omnidirectional structure from motion for registration of range images of minimal overlap,
3DPVT04(333-340).
IEEE Abstract. 0412
BibRef

Frome, A.[Andrea], Huber, D.F.[Daniel F.], Kolluri, R.[Ravi], Bülow, T.[Thomas], Malik, J.[Jitendra],
Recognizing Objects in Range Data Using Regional Point Descriptors,
ECCV04(Vol III: 224-237).
WWW Version. 0405
Region based shape descriptions. Compare to spin images. BibRef

Liu, Y.H.[Yong-Huai], Wei, B.G.[Bao-Gang],
Evaluating structural constraints for accurate range image registration,
3DIM03(187-194).
IEEE Abstract. 0311
BibRef

Liu, Y.H.[Yong-Huai], Labrosse, F.,
Inverse validation for accurate range image registration with structured data,
ICPR02(III: 537-540).
IEEE via DOI 0211
BibRef

Hillenbrand, U.[Ulrich], Hirzinger, G.[Gerd],
Probabilistic Search for Object Segmentation and Recognition,
ECCV02(III: 791 ff.).
HTML Version. 0205
Generative range models. BibRef

Caprara, A., Lancia, G.,
Optimal and near-optimal solutions for 3D structure comparisons,
3DPVT02(737-744).
IEEE via DOI 0206
BibRef

Corouge, I., Barillot, C.,
Use of a Probabilistic Shape Model for Non-linear Registration of 3d Scattered Data,
ICIP01(I: 149-152).
IEEE via DOI 0108
BibRef

Sistiaga, M., Opderbecke, J., Aldon, M.J.,
Depth image matching for underwater vehicle navigation,
CIAP99(624-629).
IEEE via DOI 9909
BibRef

Gabrani, M., Treiak, O.J.,
A novel interpolation problem: surface based matching,
ICIP98(I: 793-797).
IEEE via DOI 9810
BibRef

Sim, D.G., Park, R.H.,
Localization Based on the Gradient Information for Dem matching,
MVA98(xx-yy). BibRef 9800

Gennery, D.B.,
Visual Terrain Matching for a Mars Rover,
CVPR89(483-491).
IEEE Abstract. 3-D is extracted from stereo or other sources and merged through several steps or with aerial data. BibRef 8900

Shu, D.B.[David B.], Li, C.C., and Sun, Y.N.,
An Approach to 3-D Object Identification Using Range Images,
CRA86(118-125). BibRef 8600

Lu, S.W.[Si-Wei], and Wong, A.K.C.[Andrew K.C.],
Analysis of 3-D Scene with Partially Occluded Objects for Robot Vision,
ICPR88(I: 303-308).
IEEE via DOI
IEEE Top Reference. BibRef 8800

Tomita, F., Kanade, T.,
A 3D Vision System: Generating and Matching Shape Descriptions in Range Images,
CAIA84(186-191). BibRef 8400

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Register 3-D Data, Range Registration, 3-D Correspondence .


Last update:Apr 12, 2014 at 19:55:22