13.1.1 Aspect Graph Matching, Characteristic Views

Chapter Contents (Back)
Recognition, Model Based. Model Based Recognition. Object Recognition. Matching, Volumes. View Based. Reference Views. Characteristic Views. Canonical Views. Aspect Graphs. Matching, Aspect Graphs. view selection Key Pose. View-based
See also Gaussian Sphere (EGI), Intrinsic Images, and Surface Orientations.

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.,
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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:
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CVPR94(818-822).
IEEE DOI BibRef

Lam, C.P., West, G.A.W., Venkatesh, S.,
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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.
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Macrim, D., Shokoufandeh, A., Dickinson, S.J., Siddiqi, K., Zucker, S.,
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IEEE DOI 0211
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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

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Canonical Patterns of Oriented Topologies,
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IEEE DOI 1008
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Mankowski, W.C.[Walter C.], Bogunovich, P.[Peter], Shokoufandeh, A.[Ali], Salvucci, D.D.[Dario D.],
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Denton, T.[Trip], Abrahamson, J., Shokoufandeh, A.,
Approximation of canonical sets and their applications to 2D view simplification,
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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],
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ICPR98(Vol I: 805-807).
IEEE DOI 9808
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Lo, K.C., Kwok, S.K.W.,
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Elsevier DOI 0105
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Laurentini, A.[Aldo],
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AI(127), No. 1, March 2001, pp. 31-55.
Elsevier DOI 0105
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Bischof, H.[Horst], Leonardis, A.[Ale],
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IVC(19), No. 9-10, August 2001, pp. 619-629.
Elsevier DOI 0108
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Peters, G.[Gabriele], Zitova, B.[Barbara], von der Malsburg, C.[Christoph],
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IVC(20), No. 5-6, 15 April 2002, pp. 341-348.
Elsevier DOI 0204
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Peters, G.[Gabriele],
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Peters, G., Zitova, B., von der Malsburg, C.[Christoph],
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US_Patent7,113,641, Sep 26, 2006
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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
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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.
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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
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Earlier:
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ICCV01(I: 254-261).
IEEE DOI 0106
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Keselman, Y., Dickinson, S.J.,
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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,
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Elsevier DOI 0709
BibRef
Earlier:
3D models retrieval by using characteristic views,
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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
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And: A1, A2, A4, Only:
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Vandeborre, J.P., Couillet, V., Daoudi, M.,
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Earlier:
Local visual patch for 3d shape retrieval,
3DOR10(3-8).
DOI Link 1111
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Tabia, H.[Hedi], Laga, H.[Hamid],
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El Khoury, R.[Rachid], Vandeborre, J.P.[Jean-Philippe], Daoudi, M.[Mohamed],
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Leibe, B.[Bastian], Leonardis, A.[Aleš], Schiele, B.[Bernt],
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Earlier:
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And:
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And:
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Mele, K.[Katarina], Suc, D.[Dorian], Maver, J.[Jasna],
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Maver, J.[Jasna],
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Earlier:
Necessary Views for a Coarse Representation of a Scene,
ICPR96(I: 936-940).
IEEE DOI 9608
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Chiu, H.P.[Han-Pang], Kaelbling, L.P.[Leslie Pack], Lozano-Perez, T.[Tomas],
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CVIU(113), No. 12, Decmeber 2009, pp. 1183-1197.
Elsevier DOI 0911
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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],
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Tamaki, T.[Toru], Amano, T.[Toshiyuki], Kaneda, K.[Kazufumi],
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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],
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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],
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Semi-supervised learning; Aspect models; Document categorization BibRef

Liu, H.[Hong], Zhang, L.[Lei], Huang, H.[Hua],
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Zhao, L.[Long], Liang, S.[Shuang], Jia, J.Y.[Jin-Yuan], Wei, Y.C.[Yi-Chen],
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Shih, K.J.[Kevin J.], Endres, I.[Ian], Hoiem, D.[Derek],
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Endres, I.[Ian], Shih, K.J.[Kevin J.], Jiaa, J.[Johnston], Hoiem, D.[Derek],
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CVPR13(939-946)
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Liang, M., Min, H., Luo, R., Zhu, J.,
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Hu, M.J.[Meng-Jie], Wei, Z.Z.[Zhen-Zhong], Shao, M.W.[Ming-Wei], Zhang, G.J.[Guang-Jun],
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Leifman, G.[George], Shtrom, E.[Elizabeth], Tal, A.[Ayellet],
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Busto, P.P.[Pau Panareda], Gall, J.[Juergen],
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CVIU(169), 2018, pp. 75-89.
Elsevier DOI 1804
Domain adaptation, Pose estimation, Synthetic data BibRef

Busto, P.P.[Pau Panareda], Gall, J.[Juergen],
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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],
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Huang, Q.A.[Qi-Ang], Wang, Y.X.[Yong-Xiong], Yin, Z.[Zhong],
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IEEE DOI 2005
Solid modeling, Visualization, Cameras, Feature extraction, Computational modeling, Shape, saliency analysis BibRef

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Pose and lighting variations. Object recognition, Multi-task learning, Convolutional neural network BibRef

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Springer DOI 2011
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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],
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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.,
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PAMI(43), No. 1, January 2021, pp. 269-283.
IEEE DOI 2012
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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
Earlier: A2, A3, A4, A5, Only:
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
BibRef
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


Haugaard, R.L.[Rasmus Laurvig], Hagelskjćr, F.[Frederik], Iversen, T.M.[Thorbjřrn Mosekjćr],
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, Pattern recognition, 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

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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

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ICPR16(3404-3409)
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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],
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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).
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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],
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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],
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ICCV15(927-935)
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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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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 .


Last update:Mar 16, 2024 at 20:36:19