11.10 Representation of Parts, Part-Based Models

Biederman, I.,
Human Image Understanding: Recent Research and a Theory,
CVGIP(32), No. 1, October 1985, pp. 29-73.
WWW Version. Descriptions, Geons. BibRef 8510

Biederman, I.,
Recognition by Components: A Theory of Human Image Understanding,
PsychR(94), No. 2, 1987, pp. 115-147. The psychological description of how to describe objects by components and to recognize them. BibRef 8700

Biederman, I.[Irving],
Geon Based Object Recognition,
BMVC93(xx). (USC) BibRef 9300

Biederman, I.,
Matching Image Edges to Object Memory,
ICCV87(384-392). BibRef 8700

Biederman, I.[Irving], Hummel, J.E.[John E.], Gerhardstein, P.C.[Peter C.], Cooper, E.E.[Eric E.],
From Image Edges to Geons to Viewpoint-Invariant Object Models: A Neural Net Implementation,
SPIE(1708), 1992, pp. 570-578. BibRef 9200

Phillips, T., Cannon, R., Rosenfeld, A.,
Decomposition and Approximation of Three-Dimensional Solids,
CVGIP(33), No. 3, March 1986, pp. 307-317.
WWW Version. BibRef 8603

Rivlin, E.[Ehud], Dickinson, S.J.[Sven J.], and Rosenfeld, A.[Azriel],
Recognition by Functional Parts,
CVIU(62), No. 2, September 1995, pp. 164-176.
WWW Version. BibRef 9509
And: A1, A2 Only: CVPR94(267-274).
IEEE Abstract. IEEE Top Reference. BibRef
And: A2, A1, A3:
Object Recognition by Functional Parts,
ARPA94(II:1531-1539). BibRef
And: UMDTR3222, 1994.
WWW Version.
WWW Version. Recognition by Function. Descriptions, Parts. An extension of recognition by parts to support function. Combine functional primitives with volumetric shape primitives. BibRef

Froimovich, G., Rivlin, E., Shimshoni, I.,
Object classification by functional parts,
3DPVT02(648-655).
IEEE DOI Link 0206
BibRef

Dickinson, S.J., Bergevin, R., Biederman, I., Eklundh, J.O., Munck-Fairwood, R.C., Jain, A.K., Pentland, A.P.,
Panel Report: The Potential Of Geons For Generic 3-D Object Recognition,
IVC(15), No. 4, April 1997, pp. 277-292.
WWW Version. 9706
BibRef

Dickinson, S.J., Biederman, I., Pentland, A.P., Eklundh, J.O., Bergevin, R., and Munck-Fairwood, R.C.,
The Use of Geons for Generic 3-D Object Recognition,
IJCAI93(1693-1699). BibRef 9300

Zerroug, M.[Mourad], Medioni, G.[Gérard],
The challenge of generic object recognition,
ORCV94(217-232).
Springer DOI Link 9412
BibRef

Bennett, B.M., Hoffman, D.D.,
Shape Decomposition for Visual Recognition: The Role of Transversality,
IU87(215-256). BibRef 8700

Levine, M.D., Bergevin, R., and Nguyen, Q.L.,
Shape Description Using Geons as 3D Primitives,
VF91(363-377). Geons. BibRef 9100

Nguyen, Q.L., Levine, M.D.,
Representing 3-D Objects in Range Images Using Geons,
CVIU(63), No. 1, January 1996, pp. 158-168.
WWW Version. BibRef 9601
Earlier:
3-D Object Representation in Range Images Using Geons,
ICPR92(I:149-153).
IEEE DOI Link BibRef

Wu, K.N., Levine, M.D.,
3D Part Segmentation Using Simulated Electrical Charge Distributions,
PAMI(19), No. 11, November 1997, pp. 1223-1235.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9712
BibRef
Earlier: ICPR96(I: 14-18).
IEEE DOI Link 9608
(McGill Univ., CDN) From single or multiple view range data, use simulated electical charge densities on the surface to find local charge density minima, decompose at these points. BibRef

Wu, K., Levine, M.D.,
Recovering Parametric Geons from Multiview Range Data,
CVPR94(159-166).
IEEE Abstract. IEEE Top Reference. BibRef 9400
And:
Shape Approximation: From Multiview Range Images to Parametric Geons,
ICPR94(A:622-625).
IEEE DOI Link BibRef
Earlier:
3D Object Representation Using Parametric Geons,
McGillCIM-93-13, 1993. BibRef

Tagare, H.D., Vos, F.M., Jaffe, C.C., Duncan, J.S.,
Arrangement: A Spatial Relation Between Parts for Evaluating Similarity of Tomographic Section,
PAMI(17), No. 9, September 1995, pp. 880-893.
IEEE Abstract. IEEE Top Reference.
WWW Version. Descriptions, Parts. Voronoi. Database. BibRef 9509

Tagare, H.D., Jaffe, C.C., Duncan, J.S.,
Arrangement: A Spatial Relation for Describing and Comparing Part Embeddings,
ICPR92(I:91-94).
IEEE DOI Link BibRef 9200

Munck-Fairwood, R.C., Du, L.,
Shape Using Volumetric Primitives,
IVC(11), No. 6, July-August 1993, pp. 364-371.
WWW Version. BibRef 9307

Wang, D.M., Haese-Coat, V., Ronsin, J.,
Shape Decomposition and Representation Using a Recursive Morphological Operation,
PR(28), No. 11, November 1995, pp. 1783-1792.
WWW Version. BibRef 9511

Ayoung-Chee, N.[Nigel], Dudek, G.[Gregory], Ferrie, F.P.[Frank P.],
A Hybrid Approach to 3D Representation,
ORCV96(321) 9611
BibRef

Ferrie, F.P., Mathur, S., Soucy, G.,
Feature Extraction for 3D Model Building and Recognition,
3DORS93(xx). BibRef 9300

Arcelli, C., Serino, L.,
From Discs to Parts of Visual Form,
IVC(15), No. 1, January 1997, pp. 1-10.
WWW Version. 9702
BibRef

Wu, K.N., Levine, M.D.,
3-D Shape Approximation Using Parametric Geons,
IVC(15), No. 2, February 1997, pp. 143-158.
WWW Version. 9702
BibRef

Nishida, H.,
Structural Feature-Extraction Using Multiple Bases,
CVIU(62), No. 1, July 1995, pp. 78-89.
WWW Version. BibRef 9507

Nishida, H.,
A Structural Approach to Representation of Curved Objects,
PR(30), No. 1, January 1997, pp. 45-56.
WWW Version. 9702
BibRef

Pilu, M., Fisher, R.B.,
Part Segmentation from 2D Edge Images by the MDL Criterion,
IVC(15), No. 8, August 1997, pp. 563-573.
WWW Version. 9708
BibRef
Earlier: BMVC96(Features, Segmentation). 9608
BibRef
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.,
Recognition of Geons by Parametric Deformable Contour Models,
ECCV96(I:71-82).
Springer DOI Link BibRef 9600
And:
Recovery of Generic Solid Parts by Parametrically Deformable Aspects,
DAINo. 801. BibRef EdinburghFind the geons. BibRef

Pilu, M., Fisher, R.B.,
Model-Driven Grouping and Recognition of Generic Object Parts from a Single Image,
RobAS(21), 1997, pp. 107-122. BibRef 9700
Earlier: DAINo. 805, May 1996. Perceptual Grouping. BibRef EdinburghGrouping applied to edge images using models of the parts.
Postscript Version. BibRef

Havaldar, P.[Parag], Medioni, G.[Gerard],
Full Volumetric Descriptions from Three Intensity Images,
PAMI(20), No. 5, May 1998, pp. 540-545.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9806
Three closely spaced images, derive generalized cylinders. Match the views, label the contours as true or limb edges. BibRef

Havaldar, P.[Parag], Medioni, G.[Gerard],
Inference of Segmented, Volumetric Shape from Intensity Images,
CVPR96(278-284).
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9600
And: ARPA96(1057-1064). Stereo analysis, but segmented descriptions.
HTML Version. BibRef

Havaldar, P.[Parag], Medioni, G.[Gerard],
Segmented Shape Description from 3-View Stereo,
ICCV95(102-108).
IEEE DOI Link
WWW Version. Trinocular Stereo. Generalized cylinder descriptions.
HTML Version. BibRef 9500

Cucchiara, R.[Rita], Piccardi, M.[Massimo],
Eliciting visual primitives for detection of elongated shapes,
IVC(17), No. 5/6, April 1999, pp. 347-355.
WWW Version. BibRef 9904
Earlier:
Detection of luminosity profiles of elongated shapes,
ICIP96(III: 635-638).
IEEE DOI Link 9610
BibRef

Cucchiara, R.[Rita], Piccardi, M.[Massimo], Bariani, M.[Michele], Mello, P.[Paola],
Learning for feature selection and shape detection,
CIAP97(I: 535-542).
WWW Version. 9709
BibRef

Zerroug, M., Nevatia, R.,
Part-Based 3D Descriptions of Complex Objects from a Single Image,
PAMI(21), No. 9, September 1999, pp. 835-848.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9909 USC Computer Vision Generalized Cylinder. Exploit the properties of generalized cylinders and the intersections between them. See also Volumetric Descriptions from a Single Intensity Image. BibRef

Nevatia, R.[Ramakant], and Zerroug, M.[Mourad],
Three-Dimensional Part-Based Descriptions from a Real Intensity Image,
ARPA94(II:1367-1374). BibRef 9400 USC Computer Vision BibRef

Zerroug, M.[Mourad], Nevatia, R.[Ramakant],
From an Intensity Image to 3-D Segmented Descriptions,
ORCV96(11) 9611
BibRef
Earlier: ICPR94(A:108-113).
IEEE DOI Link BibRef USC Computer Vision
PDF Version. BibRef

van der Meiden, H.A.[Hilderick A.], Bronsvoort, W.F.[Willem F.],
An efficient method to determine the intended solution for a system of geometric constraints,
CompGeomApp(15), No. 3, 2005, pp. 279-298.
WWW Version. Generating decompositions. BibRef 0500

van der Meiden, H.A.[Hilderick A.], Bronsvoort, W.F.[Willem F.],
Solving Systems of 3D Geometric Constraints with Non-rigid Clusters,
GMP08(xx-yy).
Springer DOI Link 0804
BibRef

Vasanthanayaki, C., Annadurai, S.,
Optimal Morphological Shape Decomposition Scheme,
GVIP(05), No. V7, 2005, pp. 1-7
HTML Version. BibRef 0500

Svensson, S.[Stina],
A decomposition scheme for 3D fuzzy objects based on fuzzy distance information,
PRL(28), No. 2, 15 January 2007, pp. 224-232.
WWW Version. 0611
Fuzzy shape analysis; Fuzzy (reverse) distance transform; Hierarchical clustering; Cryo electron tomography; Immunoglobulin G BibRef

Svensson, S.[Stina],
Aspects on the reverse fuzzy distance transform,
PRL(29), No. 7, 1 May 2008, pp. 888-896.
WWW Version. 0804
Fuzzy distance; Region growing; Watershed segmentation BibRef

Amit, Y., and Geman, D.,
Shape quantization and recognition with randomized trees,
NeurComp(9), 1997, pp. 1545-1588.
WWW Version. BibRef 9700

Amit, Y., and Geman, D.,
A computational model for visual selection,
NeurComp(11), 1999, pp. 1691-1715.
WWW Version. BibRef 9900

Amit, Y.[Yali], Trouvé, A.[Alain],
POP: Patchwork of Parts Models for Object Recognition,
IJCV(75), No. 2, November 2007, pp. 267-282.
Springer DOI Link 0710
BibRef
Earlier:
Generative Models for Labeling Multi-object Configurations in Images,
CLOR06(362-381).
Springer DOI Link 0711
A deformable template model. Define model with small number of local submodels that may shift. Characters and faces. BibRef

Bernstein, E.J.[Elliot Joel], Amit, Y.[Yali],
Part-Based Statistical Models for Object Classification and Detection,
CVPR05(II: 734-740).
IEEE DOI Link 0507
BibRef

Dechter, R.[Rina], Mateescu, R.[Robert],
AND/OR search spaces for graphical models,
AI(171), No. 2-3, February 2007, pp. 73-106.
WWW Version. 0802
Search; AND/OR search; Decomposition; Graphical models; Bayesian networks; Constraint networks BibRef

Bar-Hillel, A.[Aharon], Weinshall, D.[Daphna],
Efficient Learning of Relational Object Class Models,
IJCV(77), No. 1-3, May 2008, pp. 175-198.
Springer DOI Link 0803
BibRef
Earlier: Add A2: Hertz, T.[Tomer], ICCV05(II: 1762-1769).
IEEE DOI Link 0510
BibRef

Sudderth, E.B.[Erik B.], Torralba, A.[Antonio], Freeman, W.T.[William T.], Willsky, A.S.[Alan S.],
Describing Visual Scenes Using Transformed Objects and Parts,
IJCV(77), No. 1-3, May 2008, pp. 291-330.
Springer DOI Link 0803
BibRef
Earlier:
Depth from Familiar Objects: A Hierarchical Model for 3D Scenes,
CVPR06(II: 2410-2417).
IEEE DOI Link 0606
BibRef
Earlier:
Learning Hierarchical Models of Scenes, Objects, and Parts,
ICCV05(II: 1331-1338).
IEEE DOI Link 0510
See also Visual Hand Tracking Using Nonparametric Belief Propagation. BibRef

Kivinen, J.J.[Jyri J.], Sudderth, E.B.[Erik B.], Jordan, M.I.[Michael I.],
Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Reniers, D.[Dennie], Telea, A.[Alexandru],
Hierarchical part-type segmentation using voxel-based curve skeletons,
VC(24), No. 6, June 2008, pp. xx-yy.
Springer DOI Link 0804
BibRef
Earlier:
Segmenting Simplified Surface Skeletons,
DGCI08(xx-yy).
Springer DOI Link 0804
BibRef
Earlier:
Tolerance-Based Feature Transforms,
VISAPP06(187-200).
Springer DOI Link 0711
All close feature values. BibRef

Pan, X.[Xiang], Chen, Q.H.[Qi Hua], Liu, Z.[Zhi],
3D shape recursive decomposition by Poisson equation,
PRL(30), No. 1, 1 January 2009, pp. 11-17.
WWW Version. 0811
3D shape; Poisson equation; Recursive decomposition; Graph cut BibRef

Wang, S.[Su], Lu, H.Y.[Hong-Yu], Liang, Z.R.[Zheng-Rong],
A theoretical solution to MAP-EM partial volume segmentation of medical images,
IJIST(19), No. 2, June 2009, pp. 111-119.
WWW Version. 0905
Mixed voxel effect in volume segmentation. BibRef

Bergevin, R.[Robert], Bernier, J.F.[Jean-Francois],
Detection of unexpected multi-part objects from segmented contour maps,
PR(42), No. 11, November 2009, pp. 2403-2420.
Elsevier DOI Link
WWW Version. 0907
BibRef
Earlier: A2, A1:
Generic Detection of Multi-Part Objects,
ICPR06(I: 840-843).
WWW Version. 0609
BibRef
And: A2, A1:
Generic Detection of Multi-Part Objects by High-Level Analysis,
CRV06(2-2).
IEEE DOI Link 0607
Multi-part object detection; Segmented contour map; Grouping constraints; Global shape grouping criteria BibRef

Randrianarisoa, V.[Veneree], Bernier, J.F.[Jean-Francois], Bergevin, R.[Robert],
Detection of Multi-Part Objects by Top-Down Perceptual Grouping,
CRV05(536-543).
IEEE DOI Link 0505
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 Link 0810
BibRef

Passino, G.[Giuseppe], Patras, I.[Ioannis], Izquierdo, E.[Ebroul],
On the role of structure in part-based object detection,
ICIP08(65-68).
IEEE DOI Link 0810
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 Link 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
BibRef

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 Link 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 Link 0706
BibRef

Leonardis, A.[Ales],
Learning a hierarchical compositional representation of multiple object classes,
SIG09(2-2).
IEEE DOI Link 0906
BibRef

Fidler, S.[Sanja], Boben, M.[Marko], Leonardis, A.[Ales],
A bottom-up and top-down optimization framework for learning a compositional hierarchy of object classes,
SIG09(3-3).
IEEE DOI Link 0906
BibRef
Earlier:
Similarity-based cross-layered hierarchical representation for object categorization,
CVPR08(1-8).
IEEE DOI Link 0806
BibRef

Fidler, S.[Sanja], Leonardis, A.[Ales],
Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts,
CVPR07(1-8).
IEEE DOI Link 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 Link 0706
BibRef

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

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

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

Huang, R.[Runzhen], Ma, K.L.[Kwan-Liu],
A Three-Level Graph Based Interactive Volume Segmentation System,
ISVC05(143-150).
Springer DOI Link 0512
BibRef

Xie, L.X.[Le-Xing], Perez, P.[Patrick],
Slightly Supervised Learning of Part-Based Appearance Models,
LCV04(107).
IEEE DOI Link 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 Version. 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).
WWW Version. 0505
See also Arabic Character Recognition Using Structural Shape Decomposition. BibRef

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

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

Svensson, S., Sanniti di Baja, G.,
A Tool for Decomposing 3D Discrete Objects,
CVPR01(I:850-855).
IEEE Abstract. IEEE Top Reference. 0110
3d Model decomposition. BibRef

Kruppa, H., Schiele, B.,
Hierarchical Combination of Object Models using Mutual Information,
BMVC01(Poster Session 1).
HTML Version. ETH Zurich 0110
BibRef

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 Link 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 Abstract. IEEE Top Reference. 0008
BibRef

Cutzu, F.[Florin],
Computing 3D Object Parts from Similarities among Object Views,
CVPR00(II: 95-100).
IEEE Abstract. IEEE Top Reference.
WWW Version. 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).
PDF Version. BibRef 9300 Edinburghrange data segmentation, articulated objects BibRef

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 Abstract. IEEE Top Reference. BibRef 9900

Hauck, A., Lanser, S., Zierl, C.,
Hierarchical Recognition of Articulated Objects from Single Perspective Views,
CVPR97(870-876).
IEEE Abstract. IEEE Top Reference.
WWW Version. 9704
BibRef

Forsyth, D.A., Fleck, M.M.,
Body Plans,
CVPR97(678-683).
IEEE Abstract. IEEE Top Reference.
WWW Version. 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
BibRef
And: DAINo. 844. January 1997. BibRef EdinburghRegister the range data from several viewpoints after segmenting the object into the rigid parts. BibRef

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 Link 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
And: ARPA94(II:1281-1286). Recognition by Parts. Teleos Research. Local centers circles that fit the object. BibRef

Kanehara, F., Satoh, S., Hamada, T.,
Shape Decomposition Based on Erosion Model,
PBMCV95(SESSION 5) BibRef 9500

Bennamoun, M., Boashash,
Integration of a part segmentation based vision system,
ICIP94(III: 513-517).
IEEE DOI Link 9411
BibRef

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

Chen, L.H., Lin, W.C.,
Part Segmentation for Object Recognition,
ICPR92(I:272-275).
IEEE DOI Link BibRef 9200

Walker, N.[Nicholas],
Using neural networks to learn shape decomposition by successive prototypication,
ECCV90(610-612).
Springer DOI Link 9004
BibRef

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.,
Computer Perception of Curved Objects Using a Television Camera,
Ph.D.Thesis, Univ. of Edinburgh, 1974. BibRef 7400

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