11.10 Representation of Parts, Part-Based Models

Chapter Contents (Back)
Descriptions, Parts. Representation by Parts. Representation, Parts -- 3D. Part-Based.

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Wu, K., Levine, M.D.,
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And:
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Earlier:
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And: DAINo. 817, July 1996. BibRef EdinburghUniversity of Edinburgh Filter hypotheses to retain only those likely to correspond to actual parts. BibRef

Pilu, M., Fisher, R.B.,
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And:
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Pilu, M., Fisher, R.B.,
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Earlier: DAINo. 805, May 1996. Perceptual Grouping. BibRef EdinburghGrouping applied to edge images using models of the parts.
PS File. BibRef

Havaldar, P.[Parag], Medioni, G.[Gerard],
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Earlier:
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Svensson, S.[Stina],
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Amit, Y., and Geman, D.,
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Amit, Y.[Yali], Trouvé, A.[Alain],
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Generative Models for Labeling Multi-object Configurations in Images,
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Bernstein, E.J.[Elliot Joel], Amit, Y.[Yali],
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3D shape retrieval; Shape descriptor; Poisson histogram; Part structure BibRef

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Part Analogies in Sets of Objects,
3DOR08(33-40)
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Partition into parts, find analogous parts in other objects. BibRef

Reuter, M.[Martin],
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Learning a hierarchical compositional representation of multiple object classes,
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Optimization framework for learning a hierarchical shape vocabulary for object class detection,
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Similarity-based cross-layered hierarchical representation for object categorization,
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IEEE DOI 0706
BibRef

Kraft, D.[Dirk], Mustafa, W.[Wail], Popovic, M.[Mila], Jessen, J.B.[Jeppe Barsře], Buch, A.G.[Anders Glent], Savarimuthu, T.R.[Thiusius Rajeeth], Pugeault, N.[Nicolas], Krüger, N.[Norbert],
Using surfaces and surface relations in an Early Cognitive Vision system,
MVA(26), No. 7-8, November 2015, pp. 933-954.
Springer DOI 1511
Hierarchical representation. BibRef

Sirakov, N.[Nikolay], Arslan, A.N.[Abdullah N.], Hempelmann, C.F.[Christian F.], Attardo, S.[Salvatore], Blount, G.P.[Grady P.],
Firearms identification through partonomy,
SPIE(Newsroom), August 11, 2015
DOI Link 1511
Considering individual parts as functional equivalents of the whole helps automatic image recognition of partially hidden weapons for threat assessment. BibRef

Li, D.[Dong], Li, Y.[Yali], Wang, S.J.[Sheng-Jin],
Discriminative Middle-Level Parts Mining for Object Detection,
IEICE(E98-D), No. 11, November 2015, pp. 1950-1957.
WWW Link. 1512
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Mettes, P.S.[Pascal S.], van Gemert, J.C.[Jan C.], Snoek, C.G.M.[Cees G.M.],
No spare parts: Sharing part detectors for image categorization,
CVIU(152), No. 1, 2016, pp. 131-141.
Elsevier DOI 1609
Image categorization BibRef

Tang, Y.X.[Yu-Xing], Wang, X.F.[Xiao-Fang], Dellandréa, E.[Emmanuel], Chen, L.M.[Li-Ming],
Weakly Supervised Learning of Deformable Part-Based Models for Object Detection via Region Proposals,
MultMed(19), No. 2, February 2017, pp. 393-407.
IEEE DOI 1702
image classification BibRef

Tang, Y.X.[Yu-Xing], Wang, X.F.[Xiao-Fang], Dellandrea, E.[Emmanuel], Masnou, S.[Simon], Chen, L.M.[Li-Ming],
Fusing generic objectness and deformable part-based models for weakly supervised object detection,
ICIP14(4072-4076)
IEEE DOI 1502
Accuracy BibRef


Hoschl, C., Flusser, J.,
Decomposition of 3D Binary Objects into Rectangular Blocks,
DICTA16(1-8)
IEEE DOI 1701
Algorithm design and analysis BibRef

Fouhey, D.F.[David F.], Gupta, A.[Abhinav], Zisserman, A.[Andrew],
3D Shape Attributes,
CVPR16(1516-1524)
IEEE DOI 1612
Sculptures. BibRef

Kulkarni, P.[Praveen], Jurie, F.[Frédéric], Zepeda, J.[Joaquin], Pérez, P.[Patrick], Chevallier, L.[Louis],
SPLeaP: Soft Pooling of Learned Parts for Image Classification,
ECCV16(VIII: 329-345).
Springer DOI 1611
BibRef

Ntouskos, V.[Valsamis], Sanzari, M.[Marta], Cafaro, B.[Bruno], Nardi, F.[Federico], Natola, F.[Fabrizio], Pirri, F.[Fiora], Ruiz, M.[Manuel],
Component-Wise Modeling of Articulated Objects,
ICCV15(2327-2335)
IEEE DOI 1602
Computational modeling. Model component parts. BibRef

Ren, Z., Wang, C., Yuille, A.L.,
Scene-Domain Active Part Models for Object Representation,
ICCV15(2497-2505)
IEEE DOI 1602
Cameras BibRef

Yang, L.X.[Ling-Xiao], Xie, X.H.[Xiao-Hua],
Max-margin analysis based patch sampling for discovery of mid-level parts,
ICIP15(2214-2218)
IEEE DOI 1512
Mid-level part; bag-of-parts; scene classification; visual code-book BibRef

Rubio, J.C.[Jose C.], Ommer, B.[Bjorn],
Regularizing max-margin exemplars by reconstruction and generative models,
CVPR15(4213-4221)
IEEE DOI 1510
BibRef

Lakani, S.R.[Safoura Rezapour], Popa, M.[Mirela], Rodriguez-Sanchez, A.J.[Antonio J.], Piater, J.[Justus],
CPS: 3D Compositional Part Segmentation through Grasping,
CRV15(117-124)
IEEE DOI 1507
Feature extraction BibRef

Emerson, M.J.[Monica Jane], Jespersen, K.M.[Kristine Munk], Jřrgensen, P.S.[Peter Stanley], Larsen, R.[Rasmus], Dahl, A.B.[Anders Bjorholm],
Dictionary Based Segmentation in Volumes,
SCIA15(504-515).
Springer DOI 1506
BibRef

Kitano, Y., Takiguchi, T., Ariki, Y.,
Estimation of object functions using deformable part model,
FCV15(1-4)
IEEE DOI 1506
object recognition BibRef

Delabarre, B.[Bertrand], Marchand, E.[Eric],
Dense non-rigid visual tracking with a robust similarity function,
ICIP14(4942-4946)
IEEE DOI 1502
Equations BibRef

Zhang, Y.H.[Ying-Hua], Cai, L.[Ling], Chen, L.[Luyan], Zhao, Y.M.[Yu-Ming],
A scene-specific deformable part-based model for object detection,
ICIP14(2324-2328)
IEEE DOI 1502
Adaptation models BibRef

Jeong, H.[Hawook], Yun, S.D.[Sang-Doo], Yi, K.M.[Kwang Moo], Choi, J.Y.[Jin Young],
Category Attentional Search for Fast Object Detection by Mimicking Human Visual Perception,
WACV15(829-836)
IEEE DOI 1503
Computational modeling BibRef

Yun, S.D.[Sang-Doo], Jeong, H.[Hawook], Kang, W.S.[Woo-Sung], Heo, B.H.[Byeong-Ho], Choi, J.Y.[Jin Young],
Self-Organizing Cascaded Structure of Deformable Part Models for Fast Object Detection,
ICPR14(4246-4250)
IEEE DOI 1412
Accuracy BibRef

Riabchenko, E.[Ekaterina], Kamarainen, J.K.[Joni-Kristian], Chen, K.[Ke],
Learning Generative Models of Object Parts from a Few Positive Examples,
ICPR14(2287-2292)
IEEE DOI 1412
Estimation BibRef

Boussaid, H.[Haithem], Kokkinos, I.[Iasonas],
Fast and Exact: ADMM-Based Discriminative Shape Segmentation with Loopy Part Models,
CVPR14(4058-4065)
IEEE DOI 1409
ADMM: Alternating Direction Method of Multipliers. Segment organs. BibRef

Liu, J.X.[Jiong-Xin], Li, Y.X.[Yin-Xiao], Belhumeur, P.N.[Peter N.],
Part-Pair Representation for Part Localization,
ECCV14(II: 456-471).
Springer DOI 1408
BibRef

Sun, C.B.[Chao-Bo], Wang, X.J.[Xiao-Jie],
A Ranking Part Model for Object Detection,
SSSPR14(414-423).
Springer DOI 1408
BibRef

Fouhey, D.F.[David Ford], Hussain, W., Gupta, A.[Abhinav], Hebert, M.[Martial],
Single Image 3D without a Single 3D Image,
ICCV15(1053-1061)
IEEE DOI 1602
Detectors BibRef

Fouhey, D.F.[David Ford], Gupta, A.[Abhinav], Hebert, M.[Martial],
Unfolding an Indoor Origami World,
ECCV14(VI: 687-702).
Springer DOI 1408
BibRef
Earlier:
Data-Driven 3D Primitives for Single Image Understanding,
ICCV13(3392-3399)
IEEE DOI 1403
What primitives to use. BibRef

Xie, L.X.[Ling-Xi], Tian, Q.[Qi], Hong, R.[Richang], Yan, S.C.[Shui-Cheng], Zhang, B.[Bo],
Hierarchical Part Matching for Fine-Grained Visual Categorization,
ICCV13(1641-1648)
IEEE DOI 1403
Fine-Grained Visual Categorization BibRef

Shrivastava, A.[Abhinav], Gupta, A.[Abhinav],
Building Part-Based Object Detectors via 3D Geometry,
ICCV13(1745-1752)
IEEE DOI 1403
3D object detection See also Enriching Visual Knowledge Bases via Object Discovery and Segmentation. BibRef

Girshick, R.[Ross], Malik, J.[Jitendra],
Training Deformable Part Models with Decorrelated Features,
ICCV13(3016-3023)
IEEE DOI 1403
BibRef

Zhang, N.[Ning], Farrell, R.[Ryan], Iandola, F.[Forrest], Darrell, T.J.[Trevor J.],
Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction,
ICCV13(729-736)
IEEE DOI 1403
BibRef

Chai, Y.N.[Yu-Ning], Lempitsky, V.[Victor], Zisserman, A.[Andrew],
Symbiotic Segmentation and Part Localization for Fine-Grained Categorization,
ICCV13(321-328)
IEEE DOI 1403
Computer Vision; Detection; Fine-Grained; Object Recognition; Segmentation BibRef

Xie, L.X.[Ling-Xi], Tian, Q.[Qi], Zhang, B.[Bo],
Feature normalization for part-based image classification,
ICIP13(2607-2611)
IEEE DOI 1402
Experiments BibRef

Xiong, H.C.[Han-Chen], Szedmak, S.[Sandor], Piater, J.[Justus],
3D Object Class Geometry Modeling with Spatial Latent Dirichlet Markov Random Fields,
GCPR13(51-60).
Springer DOI 1311
part-based geometry model BibRef

Jiang, F.Y.[Fang-Yuan], Enqvist, O.[Olof], Kahl, F.[Fredrik], Ĺström, K.[Kalle],
Improved Object Detection and Pose Using Part-Based Models,
SCIA13(396-407).
Springer DOI 1311
BibRef

Levi, D.[Dan], Silberstein, S.[Shai], Bar-Hillel, A.[Aharon],
Fast Multiple-Part Based Object Detection Using KD-Ferns,
CVPR13(947-954)
IEEE DOI 1309
Object Detection BibRef

Wetzler, A.[Aaron], Aflalo, Y.[Yonathan], Dubrovina, A.[Anastasia], Kimmel, R.[Ron],
The Laplace-Beltrami Operator: A Ubiquitous Tool for Image and Shape Processing,
ISMM13(302-316).
Springer DOI 1305
Filtering BibRef

Ma, C.[Chang], Dong, Z.Q.[Zhong-Qian], Jiang, T.T.[Ting-Ting], Wang, Y.Z.[Yi-Zhou], Gao, W.[Wen],
A Method of Perceptual-Based Shape Decomposition,
ICCV13(873-880)
IEEE DOI 1403
BibRef
Earlier: A3, A2, A1, A4, Only:
Toward Perception-Based Shape Decomposition,
ACCV12(II:188-201).
Springer DOI 1304
BibRef

Wang, X., Gillibert, L., Flin, F., Coeurjolly, D.,
Curvature-driven volumetric segmentation of binary shapes: An application to snow microstructure analysis,
ICPR12(742-745).
WWW Link. 1302
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Zhang, H.G.[Hui-Gang], Bai, X.[Xiao], Cheng, J.[Jian], Zhou, J.[Jun], Zhao, H.J.[Hui-Jie],
An Incremental Structured Part Model for Image Classification,
SSSPR12(483-491).
Springer DOI 1211
incremental, using part model BibRef

Maji, S.[Subhransu],
Discovering a Lexicon of Parts and Attributes,
WPA12(III: 21-30).
Springer DOI 1210
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Litany, O.[Or], Bronstein, A.M.[Alexander M.], Bronstein, M.M.[Michael M.],
Putting the Pieces Together: Regularized Multi-part Shape Matching,
NORDIA12(I: 1-11).
Springer DOI 1210
BibRef

Mottaghi, R.[Roozbeh],
Augmenting deformable part models with irregular-shaped object patches,
CVPR12(3116-3123).
IEEE DOI 1208
BibRef

Mottaghi, R.[Roozbeh], Ranganathan, A.[Ananth], Yuille, A.L.[Alan L.],
A compositional approach to learning part-based models of objects,
3DRR11(561-568).
IEEE DOI 1201
BibRef

Pandey, M.[Megha], Lazebnik, S.[Svetlana],
Scene recognition and weakly supervised object localization with deformable part-based models,
ICCV11(1307-1314).
IEEE DOI 1201
BibRef

Parkhi, O.M.[Omkar M.], Vedaldi, A.[Andrea], Zisserman, A.[Andrew], Jawahar, C.V.,
Cats and dogs,
CVPR12(3498-3505).
IEEE DOI 1208
BibRef
Earlier: A1, A2, A4, A3:
The truth about cats and dogs,
ICCV11(1427-1434).
IEEE DOI 1201
Use templates for parts of highly deformable objects, to get best of templates and bag of words. BibRef

Ott, P.[Patrick], Everingham, M.[Mark],
Shared parts for deformable part-based models,
CVPR11(1513-1520).
IEEE DOI 1106
BibRef

Venkateshkumar, S.K., Sridhar, M., Ott, P.,
Latent Hierarchical Part Based Models for Road Scene Understanding,
CVRoads15(115-123)
IEEE DOI 1602
Detectors BibRef

Varanasi, K.[Kiran], Boyer, E.[Edmond],
Temporally coherent segmentation of 3D reconstructions,
3DPVT10(xx-yy).
WWW Link. 1005
3D from multiple views and silhouettes. Describe motions of convex parts. BibRef

Akcay, H.G.[Huseyin Gokhan], Aksoy, S.[Selim], Soille, P.[Pierre],
Hierarchical Segmentation of Complex Structures,
ICPR10(1120-1123).
IEEE DOI 1008
BibRef

Lu, W.H.[Wen-Hao], Wang, S.J.[Sheng-Jin], Ding, X.Q.[Xiao-Qing],
Part Detection, Description and Selection Based on Hidden Conditional Random Fields,
ICPR10(657-660).
IEEE DOI 1008
BibRef

Lai, R.J.[Rong-Jie], Shi, Y.G.[Yong-Gang], Scheibel, K.[Kevin], Fears, S.[Scott], Woods, R.[Roger], Toga, A.W.[Arthur W.], Chan, T.F.[Tony F.],
Metric-induced optimal embedding for intrinsic 3D shape analysis,
CVPR10(2871-2878).
IEEE DOI 1006
Laplace-Beltrami (LB) embedding has problems. BibRef

Xia, X.Z.[Xiao-Zhen], Yang, W.[Wuyi], Li, H.P.[He-Ping], Zhang, S.W.[Shu-Wu],
Part-Based Object Detection Using Cascades of Boosted Classifiers,
ACCV09(II: 556-565).
Springer DOI 0909
BibRef

Kumar, M.P.[M. Pawan], Zisserman, A.[Andrew], Torr, P.H.S.[Philip H.S.],
Efficient discriminative learning of parts-based models,
ICCV09(552-559).
IEEE DOI 0909
BibRef

Cheng, X.G.[Xian-Gang], Hu, Y.Q.[Yi-Qun], Chia, L.T.[Liang-Tien],
Hierarchical word image representation for parts-based object recognition,
ICIP09(301-304).
IEEE DOI 0911
BibRef

Sullivan, J., Danielsson, O., Carlsson, S.,
Exploiting Part-Based Models and Edge Boundaries for Object Detection,
DICTA08(199-206).
IEEE DOI 0812
BibRef

Artner, N.M.[Nicole M.], Ion, A.[Adrian], Kropatsch, W.G.[Walter G.],
Spatio-Temporal Extraction of Articulated Models in a Graph Pyramid,
GbRPR11(215-224).
Springer DOI 1105
BibRef
Earlier:
Rigid Part Decomposition in a Graph Pyramid,
CIARP09(758-765).
Springer DOI 0911
BibRef

Stommel, M., Herzog, O.,
SIFT-based object recognition with fast alphabet creation and reduced curse of dimensionality,
IVCNZ09(136-141).
IEEE DOI 0911
BibRef

Stommel, M., Kuhnert, K.D.,
Part aggregation in a compositional model based on the evaluation of feature cooccurrence statistics,
IVCNZ08(1-6).
IEEE DOI 0811
BibRef

Ma, W.[Wei], Xiang, B.[Bo], Zhang, X.P.[Xiao-Peng], Zha, H.B.[Hong-Bin],
Decomposition of branching volume data by tip detection,
ICIP08(1948-1951).
IEEE DOI 0810
BibRef

Karlinsky, L.[Leonid], Ullman, S.[Shimon],
Using Linking Features in Learning Non-parametric Part Models,
ECCV12(III: 326-339).
Springer DOI 1210
BibRef

Karlinsky, L.[Leonid], Dinerstein, M.[Michael], Harari, D.[Daniel], Ullman, S.[Shimon],
The chains model for detecting parts by their context,
CVPR10(25-32).
IEEE DOI Video of talk:
WWW Link. 1006
BibRef

Karlinsky, L.[Leonid], Dinerstein, M.[Michael], Ullman, S.[Shimon],
Unsupervised feature optimization (UFO): Simultaneous selection of multiple features with their detection parameters,
CVPR09(1263-1270).
IEEE DOI 0906
BibRef

Karlinsky, L.[Leonid], Dinerstein, M.[Michael], Levi, D.[Dan], Ullman, S.[Shimon],
Combined Model for Detecting, Localizing, Interpreting, and Recognizing Faces,
Faces08(xx-yy). 0810
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Karlinsky, L.[Leonid], Dinerstein, M.[Michael], Levi, D.[Dan], Ullman, S.[Shimon],
Unsupervised Classification and Part Localization by Consistency Amplification,
ECCV08(II: 321-335).
Springer DOI 0810
Find images that contain the unknown object. BibRef

Cour, T.[Timothee], Shi, J.B.[Jian-Bo],
Recognizing objects by piecing together the Segmentation Puzzle,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Wu, T.F.[Tian-Fu], Xia, G.S.[Gui-Song], Zhu, S.C.[Song-Chun],
Compositional Boosting for Computing Hierarchical Image Structures,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Cinque, L., Sangineto, E., Tanimoto, S.,
Articulated Object Recognition: A General Framework and a Case Study,
AVSBS06(12-12).
IEEE DOI 0611
BibRef

Li, F.Y.[Fa-Yin], KoĄsecka, J.[Jana], Wechsler, H.[Harry],
Strangeness Based Feature Selection for Part Based Recognition,
BP06(22).
IEEE DOI 0609
BibRef

Kapoor, A.[Ashish], Winn, J.[John],
Located Hidden Random Fields: Learning Discriminative Parts for Object Detection,
ECCV06(III: 302-315).
Springer DOI 0608
Part-based segmentation of objects. BibRef

Xie, L.X.[Le-Xing], Perez, P.[Patrick],
Slightly Supervised Learning of Part-Based Appearance Models,
LCV04(107).
IEEE DOI 0406
BibRef

Al-Shaher, A.A.[Abdullah A.], Hancock, E.R.[Edwin R.],
A Hierarchical Framework for Shape Recognition Using Articulated Shape Mixtures,
ICIAR04(I: 335-343).
WWW Link. 0409
BibRef
And:
Articulated Shape Mixtures for Object Recognition,
BMVC04(xx-yy).
HTML Version. 0508
BibRef
And:
A Probabilistic Framework for Articulated Shape Recognition,
AMDO04(62-75).
Springer DOI 0505
See also Arabic Character Recognition Using Structural Shape Decomposition. BibRef

Kim, G.H.[Gun-Hee], Huber, D.F.[Daniel F.], Hebert, M.[Martial],
Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data,
WACV08(1-8).
IEEE DOI 0801
BibRef

Donamukkala, R., Huber, D.F., Kapuria, A., Hebert, M.,
Automatic Class Selection and Prototyping for 3-D Object Classification,
3DIM05(64-71).
IEEE DOI 0508
BibRef
Earlier: A2, A3, A1, A4:
Parts-based 3D object classification,
CVPR04(II: 82-89).
IEEE DOI 0408
BibRef

Svensson, S.[Stina], Sanniti di Baja, G.[Gabriella],
A Tool for Decomposing 3D Discrete Objects,
CVPR01(I:850-855).
IEEE DOI 0110
3d Model decomposition. BibRef

Schnitzspan, P.[Paul], Roth, S.[Stefan], Schiele, B.[Bernt],
Automatic discovery of meaningful object parts with latent CRFs,
CVPR10(121-128).
IEEE DOI 1006
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Kruppa, H., Schiele, B.,
Hierarchical Combination of Object Models using Mutual Information,
BMVC01(Poster Session 1).
HTML Version. ETH Zurich 0110
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de Vries, G., Verbeek, P.W.,
Scale-adaptive Landmark Detection, Classification and Size Estimation in 3d Object-background Images,
ICPR00(Vol III: 1014-1017).
IEEE DOI 0009
Gradient Square Tensor, based on rods, plates and surfaces. Medical images. BibRef

Bueno, G., Nikou, C., Musse, O., Heitz, F., Armspach, J.P.,
Construction of a 3d Physically-based Multi-object Deformable Model,
ICIP00(Vol I: 268-271).
IEEE DOI 0008
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Cutzu, F.[Florin],
Computing 3D Object Parts from Similarities among Object Views,
CVPR00(II: 95-100).
IEEE DOI 0005
Segmented 3-D model BibRef

Borges, D.L., Fisher, R.B.,
Segmentation of 3D Articulated Objects by Dynamic Grouping of Discontinuities,
BMVC93(279-287).
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Lee, S.H.[Sun-Ho], Hong, H.K.[Hyun-Ki], Choi, J.S.[Jong-Soo],
A Study on Assembly Part Recognition using Part-based Superquadric Model,
ICIP99(IV:78-82).
IEEE DOI BibRef 9900

Hauck, A., Lanser, S., Zierl, C.,
Hierarchical Recognition of Articulated Objects from Single Perspective Views,
CVPR97(870-876).
IEEE DOI 9704
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Forsyth, D.A., Fleck, M.M.,
Body Plans,
CVPR97(678-683).
IEEE DOI 9704
Human and animal descriptions, texture and color. BibRef

Ashbrook, A.P., Fisher, R.B.,
Constructing Models of Articulating Objects: Range Data Partitioning,
3DIM97(7 - Geometric Processing) 9702
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Du, L., Munck-Fairwood, R.C.,
Geon Recognition Through Robust Feature Grouping,
SCIA95(715-722). BibRef 9500

Rom, H.[Hillel], and Medioni, G.[Gerard],
Part Decomposition and Description of 3D Shapes,
ARPA94(II:1505-1512). BibRef 9400
And: ICPR94(A:629-632).
IEEE DOI See also Hierarchical Decomposition and Axial Shape Description. BibRef

Burns, J.B.[J. Brian], Nishihara, H.K.[H. Keith], and Rosenschein, S.J.[Stanley J.],
Appropriate-Scale Local Centers: A Foundation for Parts-Based Recognition,
SCV95(317-322).
IEEE Top Reference. BibRef 9500
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Kanehara, F., Satoh, S., Hamada, T.,
Shape Decomposition Based on Erosion Model,
PBMCV95(SESSION 5) BibRef 9500

Paulus, D.W.R.[Dietrich W. R.], Wolf, M.[Matthias],
Object-oriented volume segmentation,
CAIP93(669-673).
Springer DOI 9309
BibRef

Biederman, I.[Irving], Cooper, E.E.[Eric E.], Hummel, J.E.[John E.], Fiser, J.[Jozsef],
Geon Theory as an Account of Shape Recognition in Mind, Brain and Machine,
BMVC93(xx-yy).
PDF File. 9309
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Chen, L.H., Lin, W.C.,
Part Segmentation for Object Recognition,
ICPR92(I:272-275).
IEEE DOI BibRef 9200

Walker, N.[Nicholas],
Using neural networks to learn shape decomposition by successive prototypication,
ECCV90(610-612).
Springer DOI 9004
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Aubry, S.[Stephane], and Hayward, V.[Vincent],
Building Hierarchical Solid Models from Sensor Data,
CRA89(196-201). BibRef 8900

Pentland, A.P.,
Recognition by Parts,
ICCV87(612-620). BibRef 8700

Adelfeld, B.,
Automatic 3D Reconstruction from 2D geometric Part Descriptions,
CVPR83(66-72). BibRef 8300

Hebert, M., Ponce, J.,
A New Method for Segmenting 3-D Scenes into Primitives,
ICPR82(836-838). BibRef 8200

Turner, K.J.,
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Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Descriptions Based on Relational Network Structures .


Last update:Mar 13, 2017 at 16:25:24