13.1.1 Aspect Graph Matching, Characteristic Views

Koenderink, J.J., and van Doorn, A.J.,
The Internal Representation of Solid Shape with Respect to Vision,
BioCyber(32), 1979, pp. 211-216. Early paper that leads to aspect graph ideas. Related paper in Shape from Shading:
See also Photometric Invariants Related to Solid Shape. BibRef 7900

Koenderink, J.J.,
An Internal Representation for Solid Shape Based on the Topological Properties of the Apparent Contour,
IU87(257-285). BibRef 8700

Caponetti, L., Distante, A., Ancona, N., Mugnuolo, R.,
3D Object Recognition Based on a Viewpoint Analysis,
IVC(10), No. 8, October 1992, pp. 549-556.
Elsevier DOI Aspects related to each object. BibRef 9210

Caponetti, L., Chiaradia, M.T., Distante, A., Pasquariello, G., Serafini, A., Stella, E., Ancona, N., and Attolico, G.,
A Three-Dimensional Vision System for Bin-Picking,
CVPR86(407-411). Extended Gaussian Image. Application, Bin-picking. Matching based on the EGI. BibRef 8600

Faugeras, O.D.[Olivier D.], Mundy, J.L.[Joe L.], Ahuja, N.[Narendra], Dyer, C.R.[Charles R.], Pentland, A.P.[Alex P.], Jain, R.C.[Ramesh C.], Ikeuchi, K.[Katsushi], Bowyer, K.W.[Kevin W.],
Why Aspect Graphs Are Not (Yet) Practical for Computer Vision,
CVGIP(55), No. 2, March 1992, pp. 212-218.
Elsevier DOI BibRef 9203
Earlier: CADBV91(98-104). Panel at the workshop. BibRef

Bowyer, K.W., and Dyer, C.R.,
Aspect Graphs: an Introduction and Survey of Recent Results,
IJIST(2), 1990, pp. 315-328. Survey, Aspect Graph. Survey of aspect graph matching. BibRef 9000

Lee, H.C., and Fu, K.S.,
Generating Object Descriptions for Model Retrieval,
PAMI(5), No. 5, September 1983, pp. 462-471. BibRef 8309
Earlier:
A Computer Vision System for Generating Object Descriptions,
PRIP82(466-472). Generate line-based models for the objects. BibRef

Castore, G.,
Solid Modeling, Aspect Graphs, and Robot Vision,
SolidMC84(277-292). BibRef 8400

Chang, I.C., Huang, C.L.,
Aspect Graph Generation for Non-Convex Polyhedra from Perspective Projection View,
PR(25), No. 10, October 1992, pp. 1075-1096.
Elsevier DOI BibRef 9210

Munkelt, O.,
Aspect-Trees: Generation And Interpretation,
CVIU(61), No. 3, May 1995, pp. 365-386.
DOI Link BibRef 9505

Robey, M., West, G.A.W., Venkatesh, S.,
An Investigation into the Use of Physical Modeling for the Prediction of Various Feature Types Visible from Different Viewpoints,
CVIU(61), No. 3, May 1995, pp. 417-429.
DOI Link BibRef 9505

Lam, C.P., Venkatesh, S., West, G.A.W.,
Hypothesis Verification Using Parametric Models and Active Vision Strategies,
CVIU(68), No. 2, November 1997, pp. 209-236. 9712

DOI Link BibRef
Earlier: A1, A3, A2:
Emerging hypothesis verification using function-based geometric models and active vision strategies,
CVPR94(818-822).
IEEE DOI BibRef

Lam, C.P., West, G.A.W., Venkatesh, S.,
Obtaining functional parametric models using active vision strategies,
PR(34), No. 1, January 2001, pp. 79-94.
Elsevier DOI 0010
BibRef

Rieger, J.H.,
On the Classification of Views of Piecewise Smooth Objects,
IVC(5), No. 2, May 1987, pp. 91-97.
Elsevier DOI BibRef 8705

Liu, Z.,
Viewpoint Dependency in Object Representation and Recognition,
SV(9), 1996, pp. 491-521. BibRef 9600

Laurentini, A.,
Introducing the Reduced Aspect Graph,
PRL(16), 1995, pp. 43-48. BibRef 9500

Ben-Arie, J.,
Probabilistic Models of Observed Features and Aspects with Application to Weighted Aspect Graphs,
PRL(11), 1990, pp. 421-427. BibRef 9000

Noble, J.A.[J. Alison], Wilson, D.L.[Dale L.], Ponce, J.[Jean],
On Computing Aspect Graphs of Smooth Shapes from Volumetric Data,
CVIU(66), No. 2, May 1997, pp. 179-192. 9705

DOI Link BibRef
Earlier: MMBIA95(SHAPE) BibRef

Yang, C.C., Marefat, M.M., Johnson, E.J.,
Entity-Based Aspect Graphs: Making Viewer Centered Representations More Efficient,
PRL(19), No. 3-4, March 1998, pp. 265-277. 9807
BibRef

Shokoufandeh, A.[Ali], Marsic, I.[Ivan], Dickinson, S.J.[Sven J.],
View-based object recognition using saliency maps,
IVC(17), No. 5/6, April 1999, pp. 445-460.
Elsevier DOI BibRef 9904

Macrim, D., Shokoufandeh, A., Dickinson, S.J., Siddiqi, K., Zucker, S.,
View-based 3-D object recognition using shock graphs,
ICPR02(III: 24-28).
IEEE DOI 0211
BibRef

Denton, T.[Trip], Shokoufandeh, A.[Ali], Novatnack, J.[John], Nishino, K.[Ko],
Canonical subsets of image features,
CVIU(112), No. 1, October 2008, pp. 55-66.
Elsevier DOI 0810
Feature evaluation and selection; Object recognition; Nonlinear programming; Semidefinite programming BibRef

Mankowski, W.C.[Walter C.], Shokoufandeh, A.[Ali], Salvucci, D.D.[Dario D.],
Canonical Patterns of Oriented Topologies,
ICPR10(1104-1107).
IEEE DOI 1008
BibRef

Mankowski, W.C.[Walter C.], Bogunovich, P.[Peter], Shokoufandeh, A.[Ali], Salvucci, D.D.[Dario D.],
On Computing Canonical Subsets of Graph-Based Behavioral Representations,
GbRPR09(215-222).
Springer DOI 0905
BibRef

Denton, T.[Trip], Abrahamson, J., Shokoufandeh, A.,
Approximation of canonical sets and their applications to 2D view simplification,
CVPR04(II: 550-557).
IEEE DOI 0408
Select canonical views from the large set of possible views. BibRef

Dickinson, S.J.[Sven J.], Wilkes, D.[David], Tsotsos, J.K.[John K.],
A Computational Model of View Degeneracy,
PAMI(21), No. 8, August 1999, pp. 673-689.
IEEE DOI BibRef 9908
Earlier: A2, A1, A3:
A Quantitative Analysis of View Degeneracy and its Use for Active Focal Length Control,
ICCV95(938-944).
IEEE DOI
See also What Is a Degenerate View?. for view degeneracy interpretation. BibRef

de Vel, O.[Olivier], Aeberhard, S.[Stefan],
Object Recognition Using Random Image-Lines,
IVC(18), No. 3, February 2000, pp. 193-198.
Elsevier DOI 0001

See also Line-Based Face Recognition under Varying Pose. BibRef

Aeberhard, S.[Stefan], de Vel, O.[Olivier],
View-Based Object Recognition Using Image Lines,
ICPR98(Vol I: 805-807).
IEEE DOI 9808
BibRef

Lo, K.C., Kwok, S.K.W.,
Recognition of 3D planar objects in canonical frames,
PRL(22), No. 6-7, May 2001, pp. 715-723.
Elsevier DOI 0105
BibRef

Laurentini, A.[Aldo],
Topological recognition of polyhedral objects from multiple views,
AI(127), No. 1, March 2001, pp. 31-55.
Elsevier DOI 0105
Aspect graph for recognition of polyhedral objects from multiple views. BibRef

Bischof, H.[Horst], Leonardis, A.[Ale],
View-based object representations using RBF networks,
IVC(19), No. 9-10, August 2001, pp. 619-629.
Elsevier DOI 0108
BibRef

Peters, G.[Gabriele], Zitova, B.[Barbara], von der Malsburg, C.[Christoph],
How to measure the pose robustness of object views,
IVC(20), No. 5-6, 15 April 2002, pp. 341-348.
Elsevier DOI 0204
BMVC issue BibRef
And: IVC(20), No. 4, April 2002, pp. 249-256.
Elsevier DOI
HTML Version. 0203
Dataset, 3-D Data. BibRef

Peters, G.[Gabriele],
Efficient Pose Estimation Using View-Based Object Representations,
MVA(16), No. 1, December 2004, pp. 59-63.
Springer DOI 0501
BibRef
Earlier: CVS03(12 ff).
Springer DOI 0306
BibRef

Peters, G., Zitova, B., von der Malsburg, C.[Christoph],
Two Methods for Comparing Different Views of the Same Object,
BMVC99(Models and Search).
PDF File. 9909
BibRef

Eckes, C.[Christian], Kefalea, E.[Efthimia], von der Malsburg, C.[Chrstoph], Pötzsch, M.[Michael], Rinne, M.[Michael], Triesch, J.[Jochen], Vorbrüggen, J.C.[Jan C.],
Method for recognizing objects in digitized images,
US_Patent7,113,641, Sep 26, 2006
WWW Link. BibRef 0609

Roy, S.D., Chaudhury, S., Banerjee, S.,
Aspect graph construction with noisy feature detectors,
SMC-B(33), No. 2, April 2003, pp. 340-351.
IEEE Abstract. 0308
BibRef

Kowalczyk, M., Mokrzycki, W.S.,
Obtaining complete 2.5D view representation of polyhedra using concept of seedling single-view area,
CVIU(91), No. 3, September 2003, pp. 280-301.
Elsevier DOI 0310
view sphere with perspective. Calculate view, find area, propogate in a spiral. BibRef

Cyr, C.M.[Christopher M.], Kimia, B.B.[Benjamin B.],
A Similarity-Based Aspect-Graph Approach to 3D Object Recognition,
IJCV(57), No. 1, April 2004, pp. 5-22.
DOI Link 0402
BibRef
Earlier:
3D Object Recognition Using Shape Similarity-Based Aspect Graph,
ICCV01(I: 254-261).
IEEE DOI 0106
BibRef

Keselman, Y., Dickinson, S.J.,
Generic Model Abstraction from Examples,
PAMI(27), No. 7, July 2005, pp. 1141-1156.
IEEE Abstract. 0506
BibRef
Earlier: CVPR01(I:856-863).
IEEE DOI 0110
LCA: Lowest common abstraction. BibRef

Mahmoudi, S.[Said], Daoudi, M.[Mohamed],
A probabilistic approach for 3D shape retrieval by characteristic views,
PRL(28), No. 13, 1 October 2007, pp. 1705-1718.
Elsevier DOI 0709
BibRef
Earlier:
3D models retrieval by using characteristic views,
ICPR02(II: 457-460).
IEEE DOI 0211
Partial shape retrieval; Curvature Scale Space; M-tree; 3D indexing; Characteristic views; Bayesian voting BibRef

Ansary, T.F., Vandeborre, J.P., Mahmoudi, S.[Said], Daoudi, M.[Mohamed],
A Bayesian framework for 3D models retrieval based on characteristic views,
3DPVT04(139-146).
IEEE DOI 0412
BibRef
And: A1, A2, A4, Only:
A Bayesian approach for 3D models retrieval based on characteristic views,
ICPR04(III: 898-901).
IEEE DOI 0409
BibRef

Vandeborre, J.P., Couillet, V., Daoudi, M.,
A practical approach for 3D model indexing by combining local and global invariants,
3DPVT02(644-647).
IEEE DOI 0206
BibRef

Tabia, H.[Hedi], Daoudi, M.[Mohamed], Vandeborre, J.P.[Jean-Philippe], Colot, O.[Olivier],
A New 3D-Matching Method of Nonrigid and Partially Similar Models Using Curve Analysis,
PAMI(33), No. 4, April 2011, pp. 852-858.
IEEE DOI 1103
BibRef
Earlier:
Local visual patch for 3d shape retrieval,
3DOR10(3-8).
DOI Link 1111
BibRef
Earlier: A1, A4, A2, A3:
3D-Shape Retrieval Using Curves and HMM,
ICPR10(3147-3150).
IEEE DOI 1008
Surfaces by 3D closed curves around feature points. BibRef

Tabia, H.[Hedi], Laga, H.[Hamid],
Multiple vocabulary coding for 3D shape retrieval using Bag of Covariances,
PRL(95), No. 1, 2017, pp. 78-84.
Elsevier DOI 1708
Riemannian manifold BibRef

Ansary, T.F.[Tarik Filali], Vandeborre, J.P.[Jean-Phillipe], Daoudi, M.[Mohamed],
3D-Model search engine from photos,
CIVR07(89-92).
DOI Link 0707
BibRef
Earlier:
On 3D Retrieval from Photos,
3DPVT06(687-694).
IEEE DOI 0606
BibRef

El Khoury, R.[Rachid], Vandeborre, J.P.[Jean-Philippe], Daoudi, M.[Mohamed],
Indexed heat curves for 3D-model retrieval,
ICPR12(1964-1967).
WWW Link. 1302
BibRef

Ghita, O.[Ovidiu], Whelan, P.F.[Paul F.], Vernon, D.[David], Mallon, J.[John],
Pose estimation for objects with planar surfaces using eigenimage and range data analysis,
MVA(18), No. 6, December 2007, pp. 355-365.
Springer DOI 0711
Object pose from well defined surfaces. BibRef

Leibe, B.[Bastian], Leonardis, A.[Aleš], Schiele, B.[Bernt],
Robust Object Detection with Interleaved Categorization and Segmentation,
IJCV(77), No. 1-3, May 2008, pp. 259-289.
Springer DOI 0803
BibRef
Earlier:
An Implicit Shape Model for Combined Object Categorization and Segmentation,
CLOR06(508-524).
Springer DOI 0711

See also Shape-from-recognition: Recognition enables meta-data transfer. BibRef

Leibe, B.[Bastian], Schiele, B.[Bernt],
Scale-Invariant Object Categorization Using a Scale-Adaptive Mean-Shift Search,
DAGM04(145-153).
Springer DOI 0505
Award, GCPR. BibRef
Earlier:
Interleaving Object Categorization and Segmentation,
CogVis03(145-161).
Springer DOI 0310
BibRef
And:
Interleaved Object Categorization and Segmentation,
BMVC03(xx-yy).
HTML Version. 0409
BibRef
And:
Analyzing appearance and contour based methods for object categorization,
CVPR03(II: 409-415).
IEEE DOI 0307
BibRef

Hetzel, G.[Göunter], Leibe, B.[Bastian], Levi, P.[Paul], Schiele, B.[Bernt],
3D Object Recognition from Range Images using Local Feature Histograms,
CVPR01(II:394-399).
IEEE DOI 0110
View-based approach. BibRef

Mele, K.[Katarina], Suc, D.[Dorian], Maver, J.[Jasna],
Local probabilistic descriptors for image categorisation,
IET-CV(3), No. 1, March 2009, pp. 8-23.
DOI Link 0905
BibRef
Earlier: A1, A3, A2:
Image Categorization Using Local Probabilistic Descriptors,
ICPR06(II: 336-340).
IEEE DOI 0609
Family of local descriptors. BibRef

Maver, J.[Jasna],
Which Slightly Different View Is the Right One,
CAIP99(444-453).
Springer DOI 9909
BibRef
Earlier:
Necessary Views for a Coarse Representation of a Scene,
ICPR96(I: 936-940).
IEEE DOI 9608
(Univ. of Ljubljana, SLO) BibRef

Chiu, H.P.[Han-Pang], Kaelbling, L.P.[Leslie Pack], Lozano-Perez, T.[Tomas],
Learning to generate novel views of objects for class recognition,
CVIU(113), No. 12, Decmeber 2009, pp. 1183-1197.
Elsevier DOI 0911
BibRef
And:
Virtual Training for Multi-View Object Class Recognition,
CVPR07(1-8).
IEEE DOI 0706
Object recognition; Categorization; Shape representation Not quiet aspect graphs, but use model for multiple views. BibRef

Chiu, H.P.[Han-Pang], Kaelbling, L.P.[Leslie Pack], Lozano-Perez, T.[Tomas],
Automatic Class-Specific 3D Reconstruction from a Single Image,
CSAIL-2009-008, February 2009.
WWW Link. Use prior shape models. BibRef 0902

Tamaki, T.[Toru], Amano, T.[Toshiyuki], Kaneda, K.[Kazufumi],
Representing images of a rotating object with cyclic permutation for view-based pose estimation,
CVIU(113), No. 12, Decmeber 2009, pp. 1210-1221.
Elsevier DOI 0911
View-based pose estimation; Global appearance; Cyclic group; Column permutation matrix; Block diagonalization; Subspace methods BibRef

Ma, H.M.[Hui-Min], Huang, T.T.[Tian-Tian], Wang, Y.Z.[Yan-Zhi],
Multi-resolution recognition of 3D objects based on visual resolution limits,
PRL(31), No. 3, 1 February 2010, pp. 259-266.
Elsevier DOI 1001
3D object recognition; Visual resolution limit (VRL); Mesh simplification; Multi-resolution aspect graph BibRef

You, S.[Shaodi], Ma, H.M.[Hui-Min],
Manifold topological multi-resolution analysis method,
PR(44), No. 8, August 2011, pp. 1629-1648.
Elsevier DOI 1104
Manifold topological analysis; Manifold multi-resolution analysis; Locally linear embedding BibRef

Krithara, A.[Anastasia], Amini, M.R.[Massih R.], Goutte, C.[Cyril], Renders, J.M.[Jean-Michel],
Learning aspect models with partially labeled data,
PRL(32), No. 2, 15 January 2011, pp. 297-304.
Elsevier DOI 1101
Semi-supervised learning; Aspect models; Document categorization BibRef

Liu, H.[Hong], Zhang, L.[Lei], Huang, H.[Hua],
Web-image driven best views of 3D shapes,
VC(27), No. 3, March 2011, pp. 279-287.
WWW Link. 1203
BibRef

Glasner, D.[Daniel], Galun, M.[Meirav], Alpert, S.[Sharon], Basri, R.[Ronen], Shakhnarovich, G.[Gregory],
Viewpoint-aware object detection and continuous pose estimation,
IVC(30), No. 12, December 2012, pp. 923-933.
Elsevier DOI 1212
BibRef
Earlier:
Viewpoint-aware object detection and pose estimation,
ICCV11(1275-1282).
IEEE DOI 1201
Viewpoint-aware; Object detection; Pose estimation; 3D model; Viewpoint estimation; Structure from motion. appearance-based voting. 3D reasoning. BibRef

Serin, E.[Ekrem], Sumengen, S.[Selcuk], Balcisoy, S.[Selim],
Representational image generation for 3D objects,
VC(29), No. 6-8, June 2013, pp. 675-684.
WWW Link. 1306
BibRef

Zhao, L.[Long], Liang, S.[Shuang], Jia, J.Y.[Jin-Yuan], Wei, Y.C.[Yi-Chen],
Learning best views of 3D shapes from sketch contour,
VC(31), No. 6-8, June 2015, pp. 765-774.
WWW Link. 1506
BibRef

Shih, K.J.[Kevin J.], Endres, I.[Ian], Hoiem, D.[Derek],
Learning Discriminative Collections of Part Detectors for Object Recognition,
PAMI(37), No. 8, August 2015, pp. 1571-1584.
IEEE DOI 1507
Boosting BibRef

Endres, I.[Ian], Shih, K.J.[Kevin J.], Jiaa, J.[Johnston], Hoiem, D.[Derek],
Learning Collections of Part Models for Object Recognition,
CVPR13(939-946)
IEEE DOI 1309
BibRef

Endres, I.[Ian], Srikumar, V.[Vivek], Chang, M.W.[Ming-Wei], Hoiem, D.[Derek],
Learning shared body plans,
CVPR12(3130-3137).
IEEE DOI 1208
BibRef

Farhadi, A.[Ali], Endres, I.[Ian], Hoiem, D.[Derek],
Attribute-centric recognition for cross-category generalization,
CVPR10(2352-2359).
IEEE DOI 1006
broad domains. Learn part and category from annotated dataset. BibRef

Farhadi, A.[Ali], Tabrizi, M.K.[Mostafa Kamali], Endres, I.[Ian], Forsyth, D.A.[David A.],
A latent model of discriminative aspect,
ICCV09(948-955).
IEEE DOI 0909
Appearance changes for viewpoint. BibRef

Liang, M., Min, H., Luo, R., Zhu, J.,
Simultaneous Recognition and Modeling for Learning 3-D Object Models From Everyday Scenes,
Cyber(45), No. 10, October 2015, pp. 2237-2248.
IEEE DOI 1509
Feature extraction BibRef

Bai, X.[Xiang], Bai, S.[Song], Zhu, Z.T.[Zhuo-Tun], Latecki, L.J.[Longin Jan],
3D Shape Matching via Two Layer Coding,
PAMI(37), No. 12, December 2015, pp. 2361-2373.
IEEE DOI 1512
image coding BibRef

Bai, S.[Song], Bai, X.[Xiang], Zhou, Z.C.[Zhi-Chao], Zhang, Z.X.[Zhao-Xiang], Tian, Q.[Qi], Latecki, L.J.[Longin Jan],
GIFT: Towards Scalable 3D Shape Retrieval,
MultMed(19), No. 6, June 2017, pp. 1257-1271.
IEEE DOI 1705
Feature extraction, Graphics processing units, Search engines, Shape, Solid modeling, 3D shape retrieval, CNN, shape retrieval contest, (SHREC) BibRef

Bai, S.[Song], Bai, X.[Xiang], Tian, Q.[Qi], Latecki, L.J.[Longin Jan],
Regularized Diffusion Process on Bidirectional Context for Object Retrieval,
PAMI(41), No. 5, May 2019, pp. 1213-1226.
IEEE DOI 1904
diffusion processes, Tensile stress, Manifolds, Shape, Spirals, Benchmark testing, Image retrieval, diffusion process BibRef

Bai, S.[Song], Zhou, Z.C.[Zhi-Chao], Wang, J.D.[Jing-Dong], Bai, X.[Xiang], Latecki, L.J.[Longin Jan], Tian, Q.[Qi],
Ensemble Diffusion for Retrieval,
ICCV17(774-783)
IEEE DOI 1802
image fusion, image retrieval, learning (artificial intelligence), Holidays dataset, Visualization BibRef

Hu, M.J.[Meng-Jie], Wei, Z.Z.[Zhen-Zhong], Shao, M.W.[Ming-Wei], Zhang, G.J.[Guang-Jun],
3-D Object Recognition via Aspect Graph Aware 3-D Object Representation,
SPLetters(22), No. 12, December 2015, pp. 2359-2363.
IEEE DOI 1512
graph theory BibRef

Carreira, J.[João], Vicente, S.[Sara], Agapito, L.[Lourdes], Batista, J.P.[Jorge P.],
Lifting Object Detection Datasets into 3D,
PAMI(38), No. 7, July 2016, pp. 1342-1355.
IEEE DOI 1606
BibRef
Earlier: A2, A1, A3, A4:
Reconstructing PASCAL VOC,
CVPR14(41-48)
IEEE DOI 1409
class based reconstruction problem of populating object category detection datasets. BibRef

Leifman, G.[George], Shtrom, E.[Elizabeth], Tal, A.[Ayellet],
Surface Regions of Interest for Viewpoint Selection,
PAMI(38), No. 12, December 2016, pp. 2544-2556.
IEEE DOI 1609
BibRef
Earlier: CVPR12(414-421).
IEEE DOI 1208
Algorithm design and analysis BibRef

Busto, P.P.[Pau Panareda], Gall, J.[Juergen],
Viewpoint refinement and estimation with adapted synthetic data,
CVIU(169), 2018, pp. 75-89.
Elsevier DOI 1804
Domain adaptation, Pose estimation, Synthetic data BibRef

Busto, P.P.[Pau Panareda], Gall, J.[Juergen],
Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data,
GCPR19(107-121).
Springer DOI 1911
BibRef

Zhang, Z., Lin, H., Zhao, X., Ji, R., Gao, Y.,
Inductive Multi-Hypergraph Learning and Its Application on View-Based 3D Object Classification,
IP(27), No. 12, December 2018, pp. 5957-5968.
IEEE DOI 1810
graph theory, image classification, learning (artificial intelligence), multi-hypergraph learning. BibRef

El Houfi, S.[Safae], Jazouli, M.[Maha], Majda, A.[Aicha], Zarghili, A.[Arsalane],
3D objects classification based on $P recogniser,
IJCVR(8), No. 6, 2018, pp. 623-638.
DOI Link 1810
Selection of 2D views of 3D model. BibRef

Wang, D.[Dong], Yao, H.X.[Hong-Xun], Tombari, F.[Federico], Zhao, S.C.[Si-Cheng], Wang, B.[Bin], Liu, H.[Hong],
Learning Descriptors With Cube Loss for View-Based 3-D Object Retrieval,
MultMed(21), No. 8, August 2019, pp. 2071-2082.
IEEE DOI 1908
View-based 3-D object retrieval. feature extraction, image classification, image matching, image representation, image retrieval, ModelNet dataset BibRef

Harsányi, K.[Károly], Kiss, A.[Attila], Szirányi, T.[Tamás], Majdik, A.[András],
MASAT: A fast and robust algorithm for pose-graph initialization,
PRL(129), 2020, pp. 131-136.
Elsevier DOI 2001
BibRef

Huang, Q.A.[Qi-Ang], Wang, Y.X.[Yong-Xiong], Yin, Z.[Zhong],
View-based weight network for 3D object recognition,
IVC(93), 2020, pp. 103828.
Elsevier DOI 2001
View-based weights layer, 3D object recognition, Extreme learning machine, Multi-channel integrated classifier BibRef

Zhou, H.Y.[He-Yu], Liu, A.A.[An-An], Nie, W.Z.[Wei-Zhi], Nie, J.[Jie],
Multi-View Saliency Guided Deep Neural Network for 3-D Object Retrieval and Classification,
MultMed(22), No. 6, June 2020, pp. 1496-1506.
IEEE DOI 2005
Solid modeling, Visualization, Cameras, Feature extraction, Computational modeling, Shape, saliency analysis BibRef

Leksut, J.T.[Jatuporn Toy], Zhao, J.P.[Jia-Ping], Itti, L.[Laurent],
Learning visual variation for object recognition,
IVC(98), 2020, pp. 103912.
Elsevier DOI 2006
Pose and lighting variations. Object recognition, Multi-task learning, Convolutional neural network BibRef

Ge, Y.H.[Yun-Hao], Zhao, J.P.[Jia-Ping], Itti, L.[Laurent],
Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition,
ECCV20(XXVIII:138-155).
Springer DOI 2011
BibRef

Zhao, J.P.[Jia-Ping], Itti, L.[Laurent],
Improved Deep Learning of Object Category Using Pose Information,
WACV17(550-559)
IEEE DOI 1609
Biological neural networks, Cameras, Convolution, Lighting, Neurons, Object recognition, Training BibRef

Wu, S.[Shuai], Xu, Y.[Yong],
DSN: A New Deformable Subnetwork for Object Detection,
CirSysVideo(30), No. 7, July 2020, pp. 2057-2066.
IEEE DOI 2007
Add deformable part model to CNN. Strain, Object detection, Proposals, Deformable models, Transforms, Convolution, Neurons, Object detection, deformable subnetwork, deformation pooling BibRef

Kanezaki, A., Matsushita, Y., Nishida, Y.,
RotationNet for Joint Object Categorization and Unsupervised Pose Estimation from Multi-View Images,
PAMI(43), No. 1, January 2021, pp. 269-283.
IEEE DOI 2012
BibRef
Earlier:
RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised Viewpoints,
CVPR18(5010-5019)
IEEE DOI 1812
Training, Automobiles, Pose estimation, Solid modeling, Task analysis, Object recognition, convolutional neural network. Cameras, Histograms BibRef

Nie, W.Z.[Wei-Zhi], Jia, W.W.[Wen-Wu], Li, W.H.[Wen-Hui], Liu, A.A.[An-An], Zhao, S.C.[Si-Cheng],
3D Pose Estimation Based on Reinforce Learning for 2D Image-Based 3D Model Retrieval,
MultMed(23), 2021, pp. 1021-1034.
IEEE DOI 2103
Solid modeling, Computational modeling, Shape, 3D object BibRef

Zhang, Z.C.[Zi-Chao], Sattler, T.[Torsten], Scaramuzza, D.[Davide],
Reference Pose Generation for Long-term Visual Localization via Learned Features and View Synthesis,
IJCV(129), No. 4, April 2021, pp. 821-844.
Springer DOI 2104
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Yoneda, S.[Shunsuke], Ueno, K.[Kouki], Irie, G.[Go], Nishiyama, M.[Masashi], Iwai, Y.[Yoshio],
Joint object recognition and pose estimation using multiple-anchor triplet learning of canonical plane,
PRL(152), 2021, pp. 372-381.
Elsevier DOI 2112
BibRef
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Weakly Supervised Triplet Learning of Canonical Plane Transformation for Joint Object Recognition and Pose Estimation,
ICIP19(2476-2480)
IEEE DOI 1910
Object recognition, Pose estimation, Multiple anchor. Weak supervision, Canonical plane, Triplet learning, Spatial transformer networks BibRef

Kwon, B.[Beom], Huh, J.[Jungwoo], Lee, K.[Kyoungoh], Lee, S.H.[Sang-Hoon],
Optimal Camera Point Selection Toward the Most Preferable View of 3-D Human Pose,
SMCS(52), No. 1, January 2022, pp. 533-553.
IEEE DOI 2112
Measurement, Solid modeling, Skeleton, Optimization, Visualization, Computational modeling, Legged locomotion, Preferable view, viewpoint selection BibRef

Ni, L.[Lei], Huo, C.L.[Chun-Lei], Zhang, X.[Xin], Wang, P.[Peng], Zhang, L.Y.[Lu-Yang], Guo, K.K.[Kang-Kang], Zhou, Z.X.[Zhi-Xin],
NaGAN: Nadir-like Generative Adversarial Network for Off-Nadir Object Detection of Multi-View Remote Sensing Imagery,
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Song, R.[Ran], Zhang, W.[Wei], Zhao, Y.T.[Yi-Tian], Liu, Y.H.[Yong-Huai],
Unsupervised Multi-View CNN for Salient View Selection and 3D Interest Point Detection,
IJCV(130), No. 5, May 2022, pp. 1210-1227.
Springer DOI 2205
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Earlier:
Unsupervised Multi-view CNN for Salient View Selection of 3D Objects and Scenes,
ECCV20(XIX:454-470).
Springer DOI 2011
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Xiao, Y.[Yang], Lepetit, V.[Vincent], Marlet, R.[Renaud],
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild,
PAMI(45), No. 3, March 2023, pp. 3090-3106.
IEEE DOI 2302
BibRef
Earlier: A1, A3, Only: ECCV20(XVII:192-210).
Springer DOI 2011
Estimation, Object detection, Feature extraction, Task analysis, Solid modeling, Training, Few-shot learning, meta learning, viewpoint estimation BibRef

Jiang, J.Q.[Jia-Qin], Liu, Z.[Zhao], Li, J.[Jie], Tu, J.M.[Jing-Min], Li, L.[Li], Yao, J.[Jian],
iMVS: Integrating multi-view information on multiple scales for 3D object recognition,
JVCIR(101), 2024, pp. 104175.
Elsevier DOI 2406
3D object recognition, Hybrid feature extraction, Multi-view information transfer, Multi-scale aggregation BibRef

Wang, R.[Ren], Kim, T.S.[Tae Sung], Kim, J.S.[Jin-Sung], Lee, H.J.[Hyuk-Jae],
Toward Real-World Multi-View Object Classification: Dataset, Benchmark, and Analysis,
CirSysVideo(34), No. 7, July 2024, pp. 5653-5664.
IEEE DOI Code:
WWW Link. 2407
Convolution, Benchmark testing, Feature extraction, Annotations, Transformers, Neural networks, benchmark BibRef

Xu, L.X.[Li-Xiang], Cui, Q.Z.[Qing-Zhe], Hong, R.C.[Ri-Chang], Xu, W.[Wei], Chen, E.[Enhong], Yuan, X.[Xin], Li, C.L.[Cheng-Long], Tang, Y.Y.[Yuan-Yan],
Group Multi-View Transformer for 3D Shape Analysis With Spatial Encoding,
MultMed(26), 2024, pp. 9450-9463.
IEEE DOI 2410
Shape, Solid modeling, Feature extraction, Computational modeling, Aggregates, Long short term memory, 3D object recognition, view grouping BibRef

Ren, P.F.[Peng-Fei], Gao, Y.Y.[Yuan-Yuan], Sun, H.F.[Hai-Feng], Qi, Q.[Qi], Wang, J.Y.[Jing-Yu], Liao, J.X.[Jian-Xin],
Dynamic Support Information Mining for Category-Agnostic Pose Estimation,
CVPR24(1921-1930)
IEEE DOI 2410
Location awareness, Visualization, Accuracy, Annotations, Convolution, Pose Estimation, Category-agnostic BibRef

Haugaard, R.L.[Rasmus Laurvig], Hagelskjær, F.[Frederik], Iversen, T.M.[Thorbjørn Mosekjær],
SpyroPose: SE(3) Pyramids for Object Pose Distribution Estimation,
R6D23(2074-2083)
IEEE DOI 2401
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Sun, Y.F.[Yi-Fan], Huang, Q.X.[Qi-Xing],
Pose Synchronization under Multiple Pair-wise Relative Poses,
CVPR23(13072-13081)
IEEE DOI 2309
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Pantazis, O.[Omiros], Salvaris, M.[Mathew],
Matching Multiple Perspectives for Efficient Representation Learning,
ACVR22(686-698).
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Molnár, S.[Szilárd], Tamás, L.[Levente],
Representation Learning for Point Clouds with Variational Autoencoders,
ACVR22(727-737).
Springer DOI 2304
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Ko, J.[Jaehoon], Cho, K.[Kyusun], Choi, D.W.[Dae-Won], Ryoo, K.[Kwangrok], Kim, S.[Seungryong],
3D GAN Inversion with Pose Optimization,
WACV23(2966-2975)
IEEE DOI 2302
Visualization, Solid modeling, Codes, Semantics, Process control, Aerospace electronics, Algorithms: 3D computer vision, image and video synthesis BibRef

Gallego, J.[Jaime], Beacco, A.[Alejandro], Slater, M.[Mel],
3D Objects Reconstruction Using Frontal Images. An Example With Guitars,
ICIP22(1291-1295)
IEEE DOI 2211
Image segmentation, Solid modeling, Shape, Impedance matching, Focusing, Virtual reality, 3D object reconstruction, 3D guitar reconstruction BibRef

Yang, Z.P.[Zhen-Pei], Ren, Z.[Zhile], Bautista, M.A.[Miguel Angel], Zhang, Z.[Zaiwei], Shan, Q.[Qi], Huang, Q.X.[Qi-Xing],
FvOR: Robust Joint Shape and Pose Optimization for Few-view Object Reconstruction,
CVPR22(2487-2497)
IEEE DOI 2210
Solid modeling, Shape, Computational modeling, Pose estimation, Reconstruction algorithms, Vision applications and systems, Scene analysis and understanding BibRef

Arrigoni, F.[Federica], Fusiello, A.[Andrea], Ricci, E.[Elisa], Pajdla, T.[Tomas],
Viewing Graph Solvability via Cycle Consistency,
ICCV21(5520-5529)
IEEE DOI 2203
Award, Marr Prize, HM. viewing graph is a graph where vertices correspond to cameras and edges represent fundamental matrices. Cameras, Finishing, Testing, Stereo, 3D from multiview and other sensors, BibRef

Wei, X.[Xin], Gong, Y.F.[Yi-Fei], Wang, F.[Fudong], Sun, X.[Xing], Sun, J.[Jian],
Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views,
ICCV21(397-406)
IEEE DOI 2203
Shape, Computational modeling, Transforms, Recognition and classification, Representation learning, Stereo, 3D from multiview and other sensors BibRef

Sun, Y.F.[Yi-Fan], Huang, Q.X.[Qi-Xing], Hsiao, D.Y.[Dun-Yu], Guan, L.[Li], Hua, G.[Gang],
Learning View Selection for 3D Scenes,
CVPR21(14459-14468)
IEEE DOI 2111
Solid modeling, Neural networks, Cameras, Optimization BibRef

Fang, J., Zhou, D., Song, X., Jin, S., Yang, R., Zhang, L.,
RotPredictor: Unsupervised Canonical Viewpoint Learning for Point Cloud Classification,
3DV20(987-996)
IEEE DOI 2102
Task analysis, Robustness, Convolution, Deep learning, Solid modeling, point cloud classification BibRef

Xu, Q.L.[Qian-Li], Fang, F.[Fen], Gauthier, N.[Nicolas], Li, L.Y.[Li-Yuan], Lim, J.H.[Joo-Hwee],
Active Image Sampling on Canonical Views for Novel Object Detection,
ICIP20(2241-2245)
IEEE DOI 2011
Canonical view model for sample selection. Object detection, Visualization, Training, Measurement, Robots, Computational modeling, Feature extraction, object detection, viewpoint selection BibRef

Prabhudesai, M., Lal, S., Tung, H.F., Harley, A.W., Potdar, S., Fragkiadaki, K.,
3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations,
MVM20(1567-1570)
IEEE DOI 2008
Prototypes, Visualization, Solid modeling, Feature extraction, Detectors BibRef

Liu, S., Nguyen, V., Rehg, I., Tu, Z.,
Recognizing Objects From Any View With Object and Viewer-Centered Representations,
CVPR20(11781-11790)
IEEE DOI 2008
Object recognition, Shape, Training, Task analysis, Solid modeling BibRef

El Banani, M., Corso, J.J., Fouhey, D.F.,
Novel Object Viewpoint Estimation Through Reconstruction Alignment,
CVPR20(3110-3119)
IEEE DOI 2008
Solid modeling, Shape, Estimation, Image reconstruction, Task analysis BibRef

Bai, Y.T.[Yu-Tong], Liu, Q.[Qing], Xie, L.X.[Ling-Xi], Zheng, Y.[Yan], Qiu, W.C.[Wei-Chao], Yuille, A.L.[Alan L.],
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data,
ICCV19(7534-7544)
IEEE DOI 2004
Code, Matching.
WWW Link. CAD, image matching, image representation, learning (artificial intelligence), object detection, Feature extraction BibRef

Abid, M., da Silva, M.P., Le Callet, P.,
Influence of Viewpoint on Visual Saliency Models for Volumetric Content,
ICIP19(4330-4334)
IEEE DOI 1910
Visual attention models, volumetric data, view-based approach, perception BibRef

Yang, J.[Jiana], Wang, S.L.[Shi-Lin], Liu, G.S.[Gong-Shen],
Viewpoint Estimation in Images by a Key-Point Based Deep Neural Network,
ICIP19(2551-2555)
IEEE DOI 1910
Viewpoint estimation, key-point detection, multi-tasks learning, Hourglass structure, LSTM BibRef

Nie, W., Wang, W., Liu, A., Chen, C.,
Characteristic Views Extraction Modal Based-on Deep Reinforcement Learning for 3D Model Retrieval,
ICIP19(2389-2393)
IEEE DOI 1910
Reinforcement learning, view-based, 3D model retrieval BibRef

Sommer, C.[Christiane], Cremers, D.[Daniel],
Joint Representation of Primitive and Non-primitive Objects for 3D Vision,
3DV18(160-169)
IEEE DOI 1812
image motion analysis, image reconstruction, image representation, object recognition, pose estimation, geometric primitives BibRef

Divon, G.[Gilad], Tal, A.[Ayellet],
Viewpoint Estimation: Insights and Model,
ECCV18(XIV: 265-281).
Springer DOI 1810
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Hepp, B.[Benjamin], Dey, D.[Debadeepta], Sinha, S.N.[Sudipta N.], Kapoor, A.[Ashish], Joshi, N.[Neel], Hilliges, O.[Otmar],
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Xiao, Y.[Yang], Du, Y.M.[Yu-Ming], Marlet, R.[Renaud],
PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning,
3DV21(74-84)
IEEE DOI 2201
Learning systems, Geometry, Solid modeling, Pose estimation, Detectors, Benchmark testing BibRef

Massa, F.[Francisco], Marlet, R.[Renaud], Aubry, M.[Mathieu],
Crafting a multi-task CNN for viewpoint estimation,
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Content selection using frontalness evaluation of multiple frames,
ICPR16(3404-3409)
IEEE DOI 1705
Instances of a planar object in video. Adaptive optics, Cameras, Computational modeling, Feature extraction, Optical imaging, Optical variables measurement, Pose, estimation BibRef

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Bai, S.[Song], Bai, X.[Xiang], Zhou, Z.C.[Zhi-Chao], Zhang, Z.X.[Zhao-Xiang], Latecki, L.J.[Longin Jan],
GIFT: A Real-Time and Scalable 3D Shape Search Engine,
CVPR16(5023-5032)
IEEE DOI 1612
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Wang, W.C.[Wen-Cheng], Gao, T.H.[Tian-Hao],
Constructing Canonical Regions for Fast and Effective View Selection,
CVPR16(4114-4122)
IEEE DOI 1612
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Tsatsoulis, P.D.[P. Daphne], Plummer, B.A.[Bryan A.], Forsyth, D.A.[David A.],
Visual Analogies: A Framework for Defining Aspect Categorization,
TASKCV16(III: 540-547).
Springer DOI 1611
Identify pairs of objects taht are good at finding new views of each other. BibRef

Choy, C.B.[Christopher B.], Xu, D.[Danfei], Gwak, J.Y.[Jun-Young], Chen, K.[Kevin], Savarese, S.[Silvio],
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction,
ECCV16(VIII: 628-644).
Springer DOI 1611
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Dey, D.[Debadeepta], Ramakrishna, V.[Varun], Hebert, M.[Martial], Bagnell, J.A.[J. Andrew],
Predicting Multiple Structured Visual Interpretations,
ICCV15(2947-2955)
IEEE DOI 1602
Adaptation models BibRef

Juranek, R.[Roman], Herout, A.[Adam], Dubska, M.[Marketa], Zemcik, P.[Pavel],
Real-Time Pose Estimation Piggybacked on Object Detection,
ICCV15(2381-2389)
IEEE DOI 1602
Cameras BibRef

Sattler, T.[Torsten], Havlena, M.[Michal], Schindler, K.[Konrad], Pollefeys, M.[Marc],
Large-Scale Location Recognition and the Geometric Burstiness Problem,
CVPR16(1582-1590)
IEEE DOI 1612
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Sattler, T.[Torsten], Havlena, M.[Michal], Radenovic, F.[Filip], Schindler, K.[Konrad], Pollefeys, M.[Marc],
Hyperpoints and Fine Vocabularies for Large-Scale Location Recognition,
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IEEE DOI 1602
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Wang, Q.Q.[Qian-Qian], Zhou, X.W.[Xiao-Wei], Daniilidis, K.[Kostas],
Multi-image Semantic Matching by Mining Consistent Features,
CVPR18(685-694)
IEEE DOI 1812
Semantics, Feature extraction, Optimization, Labeling, Detectors, Reliability, Manuals BibRef

Zhu, M.L.[Meng-Long], Zhou, X.W.[Xiao-Wei], Daniilidis, K.[Kostas],
Single Image Pop-Up from Discriminatively Learned Parts,
ICCV15(927-935)
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Szabo, A., Vedaldi, A., Favaro, P.,
Building the View Graph of a Category by Exploiting Image Realism,
3DRR15(805-813)
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Exploring Discriminative Views for 3D Object Retrieval,
MMMod16(I: 755-766).
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Chen, T.[Tao], Lu, S.J.[Shi-Jian],
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MVA15(455-458)
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ICDAR13(1095-1099)
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IEEE DOI 9808
BibRef

Abe, K.[Keiichi], Jia, J.[Jin],
Automatic Generation of Prototypes in 3D Structural Object Recognition,
ICPR98(Vol I: 697-700).
IEEE DOI 9808
BibRef

Schiele, B.[Bernt], and Crowley, J.L.[James L.],
Transinformation for Active Object Recognition,
ICCV98(249-254).
IEEE DOI BibRef 9800
Earlier:
The Concept of Visual Classes for Object Classification,
SCIA97(xx-yy)
HTML Version. 9705
BibRef

Hugli, H., Schultz, C.,
Geometric Matching of 3D Objects, Assessing the Range of Successful Configurations,
3DIM97(4 - View Registration) 9702
BibRef

Madsen, C.B.[Claus B.],
View Point Variation in the Noise Sensitivity of Pose Estimation,
CVPR96(41-46).
IEEE DOI Sensitivity to different aspects. BibRef 9600

Madsen, C.B.[Claus B.], Christensen, H.I.,
Modeling and Testing the Stability of Edge Segments: Length and Orientation,
SCIA95(1011-1019). Uppsala, Sweden. BibRef 9500

Hlavac, V., Leonardis, A., Werner, T.,
Automatic Selection of Reference Views for Image-Based Scene Representations,
ECCV96(I:526-535).
Springer DOI BibRef 9600
And: A3, A2, A1 plus Pajdla, T.,
Selection Of Reference Views for image-based representation,
ICPR96(I: 73-77).
IEEE DOI 9608
(Czech Technical Univ., CZ) Choose reference views of arbirtary objects for matching. BibRef

Chen, S.A.[Shu-Ang], Freeman, H.[Herbert],
Primary Set of Characteristic Views for 3-D Objects,
SPIE(1570), 1991, pp. 352-361. BibRef 9100

Wang, R., and Freeman, H.,
The Use of Characteristic View Classes for 3D Object Recognition,
MVfor3D1990, Chapter 4, pp. 109-161. BibRef 9000
Earlier:
Object Recognition Based on Characteristic View Classes,
ICPR90(I: 8-12).
IEEE DOI Recognition using aspect graphs. Poor reference set. BibRef

Chen, S., and Freeman, H.,
Characteristic View Modeling of Curved-Surface Solids,
PRAI(10), 1996, pp. 537-560. BibRef 9600

Chen, S., Freeman, H.,
The Dominant Views of Solid Objects,
ICPR92(I:332-336).
IEEE DOI BibRef 9200
Earlier:
On The Characteristic Views of Quadric-Surfaced Solids,
CADBV91(34-43). BibRef
Earlier:
Computing characteristic views of quadric-surfaced solids,
ICPR90(I: 77-82).
IEEE DOI 9006
BibRef

Chakravarty, I., and Freeman, H.,
Characteristic Views as a Basis for Three-Dimensional Object Recognition,
SPIE(336), Robot Vision, 1982, pp. 37-45. An early reference to characteristic views. BibRef 8200

Chakravarty, I.,
The Use of Characteristic Views as a Basis for Recognition of Three-Dimensional Objects,
RPIIPL-TR-034, October 1982. BibRef 8210

Kender, J.R., and Freudenstein, D.G.,
What Is a 'Degenerate' View?,
IJCAI87(801-804). BibRef 8700
And: DARPA87(589-598). Observation that a large fraction of views are really degenerate. BibRef

Mundy, J.L., Heller, A.J., Thompson, D.W.,
The Concept of an Effective Viewpoint,
DARPA88(651-659). BibRef 8800

Whitten, G.,
Vertex Space Analysis and Its Application to Model Based Object Recognition,
CVPR88(847-857).
IEEE DOI BibRef 8800

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Aspect Graphs, Matching Systems, Object Recognition .