13.4.2 Three-Dimensional Matching Using Hashing/Indexing

Chapter Contents (Back)
Recognition, Model Based. Model Based Recognition. Object Recognition. Matching, Invariants. Matching, Volumes. Hashing. Matching, Indexing. ; Matching, Hashing. Indexing.
See also 2-D Contour Matching, Indexing or Hashing Techniques.

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PAMI(18), No. 3, March 1996, pp. 330-333.
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And: DARPA90(604-613). Indexing. Matching, Indexing. Match the 3-D model by matching the index into a 2-D space. Models based on lines and corners. BibRef

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And: DARPA93(367-376). Indexing. Matching, Indexing. Invariants with linear transformations, five points yield restricted cases. The TR also discusses more on how to generate the regions. BibRef

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IEEE DOI BibRef 9200
And: DARPA92(717-725). BibRef
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And:
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PAMI(14), No. 2, February 1992, pp. 125-145.
IEEE DOI BibRef 9202 USC Computer Vision BibRef
Earlier: CVPR91(244-250).
IEEE DOI BibRef
And:
TOSS: A System for Efficient Three Dimensional Object Recognition,
DARPA90(537-544). Recognition, Indexing. Match surface patches (called splashes) and discontinuities (contours) based on a coding scheme and table lookup similar to the one used for 2-D matching. BibRef

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PDF File. BibRef
Earlier:
Extraction of Groups for Recognition,
ECCV94(A:251-261).
Springer DOI And:
PDF File. BibRef

Stein, F., and Medioni, G.G.,
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DARPA92(667-674). BibRef 9200 USC Computer VisionMatching using symmetries, closures, and indexing. BibRef

Flynn, P.J.[Patrick J.], Jain, A.K.,
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CVGIP(55), No. 2, March 1992, pp. 119-129.
Elsevier DOI BibRef 9203
Earlier: CADBV91(124-133). Use the invariant features to index into the possible matches.
See also BONSAI: 3D Object Recognition Using Constrained Search. BibRef

Mao, J.C., Flynn, P.J., Jain, A.K.,
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PAMI(16), No. 8, August 1994, pp. 814-818.
IEEE DOI BibRef 9408

Howell, M.P., Flynn, P.J.,
Guaranteed Geometric Hashing,
ICPR94(A:465-469).
IEEE DOI BibRef 9400

Flynn, P.J.,
Saliencies and Symmetries: Toward 3D Object Recognition from Large Model Databases,
CVPR92(322-327).
IEEE DOI Saliency. BibRef 9200

Gavrila, D.M.[Dariu M.], Groen, F.C.A.,
3-D Object Recognition from 2-D Images Using Geometric Hashing,
PRL(13), No. 4, April 1992, pp. 263-278.
PDF File. BibRef 9204

Bhatia, S.K.[Sanjiv K.], Sabharwal, C.L.[Chaman L.],
A Fast Implementation of a Perfect Hash Function for Picture Objects,
PR(27), No. 3, March 1994, pp. 365-376.
Elsevier DOI BibRef 9403

Grosky, W.I.[William I.], Jiang, Z.W.[Zhao-Wei],
Hierarchical Approach to Feature Indexing,
IVC(12), No. 5, June 1994, pp. 275-283.
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Carlsson, S.[Stefan],
Relative Positioning from Model Indexing,
IVC(12), No. 3, April 1994, pp. 179-186.
Elsevier DOI BibRef 9404
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And: BMVC93(xx).
PDF File.
PS File. BibRef

Wallack, A., Manocha, D.,
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DOI Link 9805
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CVPR94(259-266).
IEEE DOI BibRef 9400

Gueziec, A.P., Pennec, X., Ayache, N.J.,
Medical image registration using geometric hashing,
CalSE(4), No. 4, October 1997, pp. 29-41. BibRef 9710

Gueziec, A.P., and Ayache, N.J.,
Smoothing and Matching of 3-D Space Curves,
IJCV(12), No. 1, February 1994, pp. 79-104.
Springer DOI BibRef 9402
Earlier: ECCV92(620-629).
Springer DOI BibRef
And:
New Developments on Geometric Hashing for Curve Matching,
CVPR93(703-704).
IEEE DOI BibRef

Gueziec, A.P.,
Large deformable splines, crest lines and matching,
ICCV93(650-657).
IEEE DOI 0403
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Horaud, R.[Radu], Sossa, H.[Humberto],
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PR(28), No. 12, December 1995, pp. 1855-1870. BibRef 9512
Earlier: A2, A1:
Elsevier DOI
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CVPR92(811-814).
IEEE DOI BibRef

Sossa, H., Palomino, A.,
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ICIP96(III: 603-606).
IEEE DOI 9610
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Carlsson, S.[Stefan],
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ORCV96(53) 9611
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ICPR00(Vol I: 30-37).
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Part-based, volumetric descriptions for recognition. BibRef

Francois, A.R.J.[Alexandre R.J.], Medioni, G.G.[Gerard G.],
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ORCV96(287) 9611
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Mehrotra, R., Grosky, W.I.,
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RA(5), 1989, pp. 70-77. BibRef 8900

Umasuthan, M., Wallace, A.M.,
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PR(30), No. 9, September 1997, pp. 1415-1434.
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Sossa, J.H., Villela, P.R., Nazuno, J.F.,
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Vijayakumar, B., Kriegman, D.J.[David J.], Ponce, J.[Jean],
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CVIU(72), No. 3, December 1998, pp. 287-303.
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Earlier: ICCV95(508-514).
IEEE DOI
PS File. Index the model database using invariants. BibRef

Kriegman, D.J., Vijayakumar, B., Ponce, J.,
Constraints for Recognizing and Locating Curved 3D Objects from Monocular Image Features,
ECCV92(829-833).
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Bebis, G.N.[George N.], Georgiopoulos, M.[Michael], Shah, M.[Mubarak], and da Vitoria Lobo, N.[Niels],
Indexing Based on Algebraic Functions of Views,
CVIU(72), No. 3, December 1998, pp. 360-378.
DOI Link BibRef 9812
Earlier:
Using Algebraic Functions of Views for Indexing-Based Object Recognition,
ICCV98(634-639).
IEEE DOI BibRef

Li, W.J.[Wen-Jing], Bebis, G.N.[George N.], Bourbakis, N.[Nikolaos],
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IP(17), No. 11, November 2008, pp. 1-20.
IEEE DOI 0810
BibRef
Earlier:
Integrating Algebraic Functions of Views with Indexing and Learning for 3D Object Recognition,
LCV04(102).
IEEE DOI 0406
BibRef

Yang, Q.[Qing], Ma, S.D.[Song De],
Matching using Schwarz integrals,
PR(32), No. 6, June 1999, pp. 1039-1047. BibRef 9906
Earlier:
Elsevier DOI
Schwarz Representation for Matching and Similarity Analysis,
ICCV98(570-575).
IEEE DOI matching between signals. BibRef

Bebis, G.N.[George N.], Papadourakis, G.M.[George M.], Orphanoudakis, S.[Stelios],
Curvature scale-space-driven object recognition with an indexing scheme based on artificial neural networks,
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Beis, J.S.[Jeffrey S.], Lowe, D.G.[David G.],
Indexing without Invariants in 3D Object Recognition,
PAMI(21), No. 10, October 1999, pp. 1000-1015.
IEEE DOI BibRef 9910
Earlier:
Shape Indexing Using Approximate Nearest-Neighbour Search in High-Dimensional Spaces,
CVPR97(1000-1006).
IEEE DOI 9704
BibRef
Earlier:
Learning Indexing Functions for 3-D Model-Based Object Recognition,
CVPR94(275-280).
IEEE DOI BibRef
And: AAAI-MLCV93(xx). TR FSS-93-04. Best bin first. Use various shape information not just invariants. BibRef

Marosi, I., Toth, L.,
OCR Voting Methods for Recognizing Low Contrast Printed Documents,
DIAL06(108-115).
IEEE DOI 0604
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Bebis, G.N.[George N.], Georgiopoulos, M.[Michael], da Vitoria Lobo, N.[Niels], Shah, M.[Mubarak],
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Earlier:
Learning Affine Transformations of the Plane for Model-Based Object Recognition,
ICPR96(IV: 60-64).
IEEE DOI 9608
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Bebis, G.N.[George N.], Georgiopoulos, M.[Michael], da Vitoria Lobo, N.[Niels],
Learning Geometric Hashing Functions for Model Based Object Recognition,
ICCV95(543-548).
IEEE DOI BibRef 9500

Kinser, J.M.[Jason M.], Nguyen, C.[Chau],
Image object signatures from centripetal autowaves,
PRL(21), No. 3, March 2000, pp. 221-225. 0003
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Kinser, J.M.,
Image primitive signatures,
AIPR04(51-54).
IEEE DOI 0410
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Wolfson, H.J., and Rigoutsos, I.,
Geometric Hashing: An Overview,
CalSE(4), No. 4, October 1997, pp. 10-21. BibRef 9710

van Dijck, H.A.[Harrie A.], van der Heijden, F.[Ferdinand],
Object recognition with stereo vision and geometric hashing,
PRL(24), No. 1-3, January 2003, pp. 137-146.
Elsevier DOI 0211
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van Dijck, H.A.[Harrie A.], Korsten, M.J., van der Heijden, F.,
Robust 3-Dimensional Object Recognition Using Stereo Vision and Geometric Hashing,
ICIP96(II: 329-332).
IEEE DOI BibRef 9600

Zhang, J., Zhang, X., Krim, H., Walter, G.G.,
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PR(36), No. 5, May 2003, pp. 1143-1154.
Elsevier DOI 0301
BibRef
Earlier: A1, A2, A3, Only:
Invariant object recognition by shape space analysis,
ICIP98(III: 581-585).
IEEE DOI 9810
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Sehgal, A.[Anshul], Desai, U.B.,
3D object recognition using Bayesian geometric hashing and pose clustering,
PR(36), No. 3, March 2003, pp. 765-780.
Elsevier DOI 0301
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Lowe, D.G.[David G.],
Distinctive Image Features from Scale-Invariant Keypoints,
IJCV(60), No. 2, November 2004, pp. 91-110.
DOI Link 0406
Code, SIFT. BibRef
Earlier:
Object Recognition from Local Scale-Invariant Features,
ICCV99(1150-1157).
IEEE DOI Award, ICCV Test of Time. New class of features, similar to neurons. Extract features that can be used in matching. SIFT -- Scale Invariant Feature Scale-space extrema detection; Feature localization; Orientation alignment; Feature descriptor. Code is available:
WWW Link. Note that this is the most cited paper according to one measure.
See also Scale Invariant Features, SIFT, SURF, ASIFT. BibRef

Lowe, D.G.,
Local Feature View Clustering for 3D Object Recognition,
CVPR01(I:682-688).
IEEE DOI 0110
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Caglioti, V.[Vincenzo],
Minimal Representations of 3D Models in Terms of Image Parameters under Calibrated and Uncalibrated Perspective,
PAMI(26), No. 9, September 2004, pp. 1234-1238.
IEEE Abstract. 0409
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Earlier:
On the Space Requirements of Indexing 3D Models from 2D Perspective Images,
CVPR00(I: 718-723).
IEEE DOI 0005
Minimum dinensionality of the set representing any 3D modeled point-set is 2. 2-D representations also for 3D curved objects. BibRef

Gasparini, S.[Simone], Caglioti, V.[Vincenzo],
Line Localization from Single Catadioptric Images,
IJCV(94), No. 3, September 2011, pp. 361-374.
WWW Link. 1101
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Earlier: A2, A1:
On the Localization of Straight Lines in 3D Space from Single 2D Images,
CVPR05(I: 1129-1134).
IEEE DOI 0507
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Caglioti, V.[Vincenzo], Gasparini, S.[Simone], Taddei, P.[Pierluigi],
Methods for space line localization from single catadioptric images: new proposals and comparisons,
OMNIVIS07(1-6).
IEEE DOI 0710
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Taddei, P.[Pierluigi], Bartoli, A.E.[Adrien E.],
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NORDIA08(1-6).
IEEE DOI 0806
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Tan, S.S.[Sheng S.], Hart, D.P.[Douglas P.],
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PRL(26), No. 11, August 2005, pp. 1620-1631.
Elsevier DOI 0506
Indexing of image with features on boundaries. BibRef

Ruiz-Correa, S.[Salvador], Shapiro, L.G.[Linda G.], Meila, M.[Marina], Berson, G.[Gabriel], Cunningham, M.L.[Michael L.], Sze, R.W.[Raymond W.],
Symbolic Signatures for Deformable Shapes,
PAMI(28), No. 1, January 2006, pp. 75-90.
IEEE DOI 0512
Component-based approach, generalize existing surface representations for specific 3D objects to object classes using the symbolic-signature representation that is robust to deformations. BibRef

Ruiz-Correa, S., Shapiro, L.G., Meila, M.,
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ICCV03(1126-1133).
IEEE DOI 0311
Symbolic surface signature to capture relationships. BibRef

Ruiz-Correa, S., Shapiro, L.G.[Linda G.], Melia, M.,
A New Signature-Based Method for Efficient 3-D Object Recognition,
CVPR01(I:769-776).
IEEE DOI 0110
Spherical spin images. BibRef

Shan, Y.[Ying], Sawhney, H.S., Matei, B., Kumar, R.,
Shapeme Histogram Projection and Matching for Partial Object Recognition,
PAMI(28), No. 4, April 2006, pp. 568-577.
IEEE DOI 0604
BibRef
Earlier:
Partial Object Matching with Shapeme Histograms,
ECCV04(Vol III: 442-455).
Springer DOI 0405
Shapeme: prototypical shapes. BibRef

Matei, B., Shan, Y.[Ying], Sawhney, H.S., Tan, Y.[Yi], Kumar, R., Huber, D.F., Hebert, M.,
Rapid Object Indexing Using Locality Sensitive Hashing and Joint 3D-Signature Space Estimation,
PAMI(28), No. 7, July 2006, pp. 1111-1126.
IEEE DOI 0606
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Shan, Y., Matei, B., Sawhney, H.S., Kumar, R., Huber, D.F., Hebert, M.,
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CVPR04(II: 121-128).
IEEE DOI 0408
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Han, Y.X.[Yue-Xing], Wang, B.[Bing], Idesawa, M.[Masanori], Shimai, H.[Hiroyuki],
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PR(43), No. 4, April 2010, pp. 1467-1475.
Elsevier DOI 1002
Shape space; Pre-shape space; Landmark; The Procrustean distance; The Procrustean metric; The Geodesic distance; Shape contour; Manifold; The shortest path BibRef

Han, Y.X.[Yue-Xing], Koike, H.[Hideki], Wang, B.[Bing], Idesawa, M.[Masanori],
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IPTA10(405-410).
IEEE DOI 1007
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Dinesh, R., Guru, D.S.,
Concept Of Triangular Spatial Relationship And B-tree For Partially Occluded Object Recognition: An Efficient And Robust Approach,
IJIG(10), No. 3, July 2010, pp. 423-448.
DOI Link 1003
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Earlier:
Recognition of Partially Occluded Objects Using Perfect Hashing: An Efficient and Robust Approach,
CRV05(528-535).
IEEE DOI 0505

See also Archival and retrieval of symbolic images: An invariant scheme based on triangular spatial relationship. BibRef

Manjunath, S., Guru, D.S., Suraj, M.G., Dinesh, R.,
2D-LPI: Two-Dimensional Locality Preserving Indexing,
PReMI09(19-24).
Springer DOI 0912
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Korman, S.[Simon], Avidan, S.[Shai],
Coherency Sensitive Hashing,
PAMI(38), No. 6, June 2016, pp. 1099-1112.
IEEE DOI 1605
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Earlier: ICCV11(1607-1614).
IEEE DOI 1201
Accuracy. Extend Locality Sensitivity Hashing to find matching patches BibRef

Loncomilla, P.[Patricio], Ruiz-del-Solar, J.[Javier], Martínez, L.[Luz],
Object recognition using local invariant features for robotic applications: A survey,
PR(60), No. 1, 2016, pp. 499-514.
Elsevier DOI 1609
Local invariant features BibRef

Ruiz-del-Solar, J.[Javier], Loncomilla, P.[Patricio], Zorzi, P.[Pablo],
Applying SIFT Descriptors to Stellar Image Matching,
CIARP08(618-625).
Springer DOI 0809
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Loncomilla, P.[Patricio], Ruiz-del-Solar, J.[Javier],
A Fast Probabilistic Model for Hypothesis Rejection in SIFT-Based Object Recognition,
CIARP06(696-705).
Springer DOI 0611
BibRef
Earlier:
Improving SIFT-Based Object Recognition for Robot Applications,
CIAP05(1084-1092).
Springer DOI 0509

See also Distinctive Image Features from Scale-Invariant Keypoints. BibRef

Lin, G.S.[Guo-Sheng], Liu, F.[Fayao], Shen, C.H.[Chun-Hua], Wu, J.X.[Jian-Xin], Shen, H.T.[Heng Tao],
Structured Learning of Binary Codes with Column Generation for Optimizing Ranking Measures,
IJCV(123), No. 2, June 2017, pp. 287-308.
Springer DOI 1705
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Gupta, N.[Nitin], Das, S.[Sukhendu], Chakraborti, S.[Sutanu],
Hierarchy of visual features for object recognition,
ICIP14(5901-5905)
IEEE DOI 1502
Segmentation and choose features. BibRef

Tsai, Y.H.[Yi-Hsuan], Yang, M.H.[Ming-Hsuan],
Locality preserving hashing,
ICIP14(2988-2992)
IEEE DOI 1502
Binary codes Generating hash codes. BibRef

Mu, Y.D.[Ya-Dong], Chen, X.Y.[Xiang-Yu], Chua, T.S.[Tat-Seng], Yan, S.C.[Shui-Cheng],
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DOI Link 1301
locality-sensitive hashing (LSH) BibRef

Weiss, Y.[Yair], Fergus, R.[Rob], Torralba, A.B.[Antonio B.],
Multidimensional Spectral Hashing,
ECCV12(V: 340-353).
Springer DOI 1210
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Kim, S.[Saehoon], Kang, Y.[Yoonseop], Choi, S.J.[Seung-Jin],
Sequential Spectral Learning to Hash with Multiple Representations,
ECCV12(V: 538-551).
Springer DOI 1210
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Obdrzálek, S.[Stepán], Matas, J.G.[Jirí G.],
Sub-linear Indexing for Large Scale Object Recognition,
BMVC05(xx-yy).
HTML Version. 0509
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de Roover, C., de Vleeschouwer, C., Lefebvre, F., Macq, B.,
Robust Image Hashing Based on Radial Variance of Pixels,
ICIP05(III: 77-80).
IEEE DOI 0512
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Epshtein, B.[Boris], Ullman, S.[Shimon],
Semantic Hierarchies for Recognizing Objects and Parts,
CVPR07(1-8).
IEEE DOI 0706
BibRef
Earlier:
Satellite Features for the Classification of Visually Similar Classes,
CVPR06(II: 2079-2086).
IEEE DOI 0606
BibRef
Earlier:
Feature Hierarchies for Object Classification,
ICCV05(I: 220-227).
IEEE DOI 0510
BibRef
And:
Identifying Semantically Equivalent Object Fragments,
CVPR05(I: 2-9).
IEEE DOI 0507
Decompose the image chip into features. Find pieces of objects in an image. Noses, parts of cars, etc. BibRef

Ullman, S.[Shimon], Epshtein, B.[Boris],
Visual Classification by a Hierarchy of Extended Fragments,
CLOR06(321-344).
Springer DOI 0711
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McCarthy, E., Balado, F., Silvestre, C.C.M., Hurley, N.J.,
A framework for soft hashing and its application to robust image hashing,
ICIP04(I: 397-400).
IEEE DOI 0505
BibRef

Lifshits, M., Blayvas, I., Goldenberg, R., Rivlin, E., Rudzsky, M.,
Rehashing for Bayesian geometric hashing,
ICPR04(III: 99-102).
IEEE DOI 0409
BibRef

Hashimoto, M., Sumi, K., Usami, T.,
Recognition of multiple objects based on global image consistency,
BMVC99(Posters/Demos).
PDF File. BibRef 9900

Zhang, D.M.[Dong-Mei], Hebert, M.[Martial],
Harmonic Maps and their Applications in Surface Matching,
CVPR99(II: 524-530).
IEEE DOI BibRef 9900
And:
Experimental analysis of Harmonic Shape Images,
3DIM99(209-218).
IEEE DOI 9910
BibRef

Hoffman, M.[Michael], Lindenbaum, M.[Michael],
Some Trade-offs and a New Algorithm for Geometric Hashing,
ICPR98(Vol II: 1700-1704).
IEEE DOI 9808
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Mohan, R., Weinshall, D., and Sarukkai, R.R.,
3D Object Recognition by Indexing Structural Invariants from Multiple Views,
ICCV93(264-268).
IEEE DOI BibRef 9300

Li, S.Z., Hornegger, J.,
A two-stage probabilistic approach for object recognition,
ECCV98(II: 733).
Springer DOI
PS File. BibRef 9800

Yang, Y., Tsui, H.,
Mobile Robot Localization by Geometric Hashing and Model-Based Scene Matching,
ICPR96(I: 181-185).
IEEE DOI 9608
(Chinese Univ. of Hong Kong, HK) BibRef

Sethi, I.K.[Ishwar K.], and Ramesh, N.[Nagarajan],
A Flexible Shape Recognition Approach Through Hashing,
ROBEX(89), Palo Alto, CA, 1989, pp. 185-188. BibRef 8900

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Model Based Recognition Systems .


Last update:Nov 26, 2024 at 16:40:19