13.3.3 Matching Graphs and 3-D Network Descriptions

Chapter Contents (Back)
Object Recognition. Matching, Models. Matching, Volumes. Matching, Networks. Graph Matching. Matching, Graphs.

Jacobus, C.J., Chien, R.T.,
Intermediate-Level Vision: Building Vertex-String-Surface (V-S-S) Graphs,
CGIP(15), No. 4, April 1981, pp. 339-363.
WWW Link. BibRef 8104

Umeyama, S.,
An Eigen Decomposition Approach to Weighted Graph Matching Problems,
PAMI(10), No. 5, September 1988, pp. 695-703.
IEEE DOI Matching, Eigen Values. Applied to transformations See also Least-Squares Estimation of Transformation Parameters Between Two Point Patterns. and articulated objects See also Parameterized Point Pattern Matching and Its Application to Recognition of Object Families. BibRef 8809

Yang, B., Snyder, W.E., and Bilbro, G.L.,
Matching Oversegmented 3D Images to Models Using Association Graphs,
IVC(7), No. 2, May 1989, pp. 135-143.
WWW Link. Region matching. Find cliques in a depth first match. BibRef 8905

Fan, T.J., Medioni, G.G., and Nevatia, R.,
Recognizing 3-D Objects Using Surface Descriptions,
PAMI(11), No. 11, November 1989, pp. 1140-1157.
IEEE DOI BibRef 8911 USC Computer Vision BibRef
And: ICCV88(474-481).
IEEE DOI BibRef
Earlier:
3-D Object Recognition Using Surface Descriptions,
DARPA88(383-397). Recognize Three-Dimensional Objects. Use the surface descriptions to recognize the objects. Find a small set of possible matches to the image graph representation and apply the complete matching program to these. Deals with overlaps and predictions based on partial matches. See also Segmented Description of 3-D Surfaces. BibRef

Fan, T.J.,
Describing and Recognizing 3-D Objects Using Surface Properties,
Berlin: Springer-Verlag1989. BibRef 8900 BookThe report was: BibRef Ph.D.Thesis (CS), August 1988. BibRef USC_IRISTR-237. BibRef

Shapiro, L.G., Moriarty, J.D.[John D.], Haralick, R.M., and Mulgaonkar, P.G.[Prasanna G.],
Matching Three-Dimensional Objects Using a Relational Paradigm,
PR(17), No. 4, 1984, pp. 385-405.
WWW Link. BibRef 8400
And: VPISUCS TR. 1983. Distance Metric. BibRef
And:
Matching Three-Dimensional Models,
PRIP81(534-541). This paper discusses the problems of matching 3-d relational models and input descriptions. A relational distance metric and a feature attribute distance metric are used to divide the models into possibly overlapping clusters. The input is matched only to the models in those clusters that it is similar to. BibRef

Mulgaonkar, P.G.[Prasanna G.], Shapiro, L.G., and Haralick, R.M.,
Matching 'Sticks, Plates, and Blobs' Objects Using Geometric and Relational Constraints,
IVC(2), No. 2, May 1984, pp. 85-98.
WWW Link. BibRef 8405
Earlier:
Recognizing Three-Dimensional Objects from Single Perspective Views Using Geometric and Relational Reasoning,
PRIP82(479-484). BibRef
And:
Identification of Man-Made Objects using Geometric and Relational Constraints,
DraftThe model specifies the position of the plates, blobs, and sticks with angles and connections. The actual results are based on what the relations and angles can look like from different views. Generate the guess at the camera position and predict how the object will then look. BibRef

Shapiro, L.G.[Linda G.], Moriarty, J.D.[John D.], Mulgaonkar, P.G.[Prasanna G.], and Haralick, R.M.[Robert M.],
Sticks, Plates, and Blobs: Three-Dimensional Object Representation for Scene Analysis,
AAAI-80(28-31). BibRef 8000

Mulgaonkar, P.G., Shapiro, L.G., and Haralick, R.M.,
Using Rough Relational Models for Geometric Reasoning,
CVWS82(116-124). Represent objects with plates, sticks, and blobs. Use these for matching the input view. Objects are put together with binary relations and triples which specify connections and possibly an angle in the connection. BibRef 8200

Shapiro, L.G., Mulgaonkar, P.G., Moriarity, J.D., Haralick, R.M.,
A Generalized Blob Model for 3D Object Representation,
ConferenceWorkshop on Pictoral Data Description, 1980, pp. 106-116. BibRef 8000

Shapiro, L.G., Haralick, R.M.,
A General Spatial Data Structure,
PRIP78(238-249). BibRef 7800

Henikoff, J.[Jorja], Shapiro, L.G.[Linda G.],
Representative Patterns for Model-Based Matching,
PR(26), No. 7, July 1993, pp. 1087-1098. BibRef 9307
Earlier:
WWW Link.
Interesting Patterns for Model-Based Machine Vision,
ICCV90(535-538).
IEEE DOI BibRef

Shapiro, L.G.,
View-Class Representation and Matching of 3D Objects,
VF91(479-493). Determine the correspondence between features in the image and features in a view class of a particular object. This gives pose and identifies the object. BibRef 9100

Shapiro, L.G.,
Structural Shape Description and Matching,
PRIP79(413-420). BibRef 7900

Chen, C.H., and Mulgaonkar, P.G.,
Automatic Vision Programming,
CVGIP(55), No. 2, March 1992, pp. 170-183.
WWW Link. Compute the utility of features to use in the matching and generate recognition programs. BibRef 9203

Chen, C.H., Mulgaonkar, P.G.,
CAD-Based Feature Utility Measures for Automatic Vision Programming,
CADBV91(106-114). BibRef 9100

Chen, C.H., and Mulgaonkar, P.G.,
Uncertainty Update and Dynamic Search Window for Model-Based Object Recognition,
CVPR91(692-694).
IEEE DOI BibRef 9100

Mulgaonkar, P.G., Haralick, R.M., Shapiro, L.G.,
A Computational Framework for Hypothesis Based Reasoning and Its Applications to Perspective Analysis,
CAIA84(287-294). BibRef 8400

Lee, H.J.[Hsi-Jian], Lei, W.L.[Wen-Ling],
Region Matching and Depth Finding for 3D Objects in Stereo Aerial Photographs,
PR(23), No. 1-2, 1990, pp. 81-94.
WWW Link. Geometric relations only. BibRef 9000

Li, S.Z.,
Toward 3D Vision from Range Images: An Optimization Framework and Parallel Networks,
CVGIP(55), No. 3, May 1992, pp. 231-260.
WWW Link. A unified approach based on optimization at all levels. Low-level is estimating curvatures, segmenting these curvature images, match graph structures. BibRef 9205

Li, S.Z.,
Object Recognition from Range Data Prior to Segmentation,
IVC(10), No. 8, October 1992, pp. 566-576.
WWW Link. BibRef 9210

Kao, C.Y.[Ching-Yao], Kumara, S.R.T.[Soundar R.T.], and Kasturi, R.[Rangachar],
Extraction of 3D Object Features from CAD Boundary Representation Using the Super Relation Graph Method,
PAMI(17), No. 12, December 1995, pp. 1228-1233.
IEEE DOI BibRef 9512

Cinque, L., Yasuda, D., Shapiro, L.G., Tanimoto, S.L., Allen, B.,
An Improved Algorithm for Relational Distance Graph Matching,
PR(29), No. 2, February 1996, pp. 349-359.
WWW Link. BibRef 9602

Allen, R.[Robert], Yasuda, D.[Dean], Tanimoto, S.L.[Steven L.], Shapiro, L.G.[Linda G.], Cinque, L.[Luigi],
A Parallel Algorithm for Graph Matching and Its MASPAR Implementation,
CAMP93(13-18). Parallel Algorithms. BibRef 9300

Caelli, T.M., Osman, E., West, G.A.W.,
3D Shape Matching and Inspection Using Geometric Features and Relational Learning,
CVIU(72), No. 3, December 1998, pp. 340-350.
DOI Link BibRef 9812

Li, S.J.[San-Jiang], Ying, M.S.[Ming-Sheng],
Region Connection Calculus: Its models and composition table,
AI(145), No. 1-2, April 2003, pp. 121-146.
WWW Link. 0306
BibRef

Anderson, M.[Michael], McCartney, R.[Robert],
Diagram processing: Computing with diagrams,
AI(145), No. 1-2, April 2003, pp. 181-226.
WWW Link. 0306
BibRef

Serratosa, F.[Francesc], Alquézar, R.[René], Sanfeliu, A.[Alberto],
Function-described graphs for modelling objects represented by sets of attributed graphs,
PR(36), No. 3, March 2003, pp. 781-798.
WWW Link. 0301
BibRef
Earlier: A1, A3, A2:
Modelling and recognising 3D-objects described by multiple views using function-described graphs,
ICPR02(II: 140-143).
IEEE DOI 0211
BibRef
Earlier: A3, A1, A2:
Clustering of Attributed Graphs and Unsupervised Synthesis of Function-described Graphs,
ICPR00(Vol II: 1022-1025).
IEEE DOI 0009
BibRef
Earlier: A1, A2, A3:
Efficient Algorithms for Matching Attributed Graphs and Function-described Graphs,
ICPR00(Vol II: 867-872).
IEEE DOI 0009
See also new graph matching method for point-set correspondence using the EM algorithm and Softassign, A. BibRef

Serratosa, F.[Francesc], Sanfeliu, A.[Alberto],
Function-described graphs applied to 3D object representation,
CIAP97(I: 701-708).
Springer DOI 9709
BibRef

Huang, J.J.[Jih-Jeng], Tzeng, G.H.[Gwo-Hshiung], Ong, C.S.[Chorng-Shyong],
Multidimensional data in multidimensional scaling using the analytic network process,
PRL(26), No. 6, 1 May 2005, pp. 755-767.
WWW Link. 0501
Low dimensional representations for relations. BibRef

Tavares, J.M.R.S.[Joăo Manuel R. S.], Bastos, L.F.[Luísa Ferreira],
Improvement of Modal Matching Image Objects in Dynamic Pedobarography using Optimization Techniques,
ELCVIA(5), No. 3, 2005, pp. 1-20.
WWW Link. 0505
BibRef
Earlier: A2, A1: AMDO04(39-50).
Springer DOI 0505
Graph matching for deformable objects. BibRef

Pinho, R.R.[Raquel Ramos], Tavares, J.M.R.S.[Joăo Manuel R.S.],
Dynamic Pedobarography Transitional Objects by Lagrange's Equation with FEM, Modal Matching and Optimization Techniques,
ICIAR04(II: 92-99).
Springer DOI 0409
BibRef

Pham, T.V.[Thang V.], Smeulders, A.W.M.[Arnold W.M.],
Object recognition with uncertain geometry and uncertain part detection,
CVIU(99), No. 2, August 2005, pp. 241-258.
WWW Link. 0506
Given parts, recognize objects. BibRef

Demirci, M.F.[M. Fatih], Shokoufandeh, A.[Ali], Keselman, Y.[Yakov], Bretzner, L.[Lars], Dickinson, S.J.[Sven J.],
Object Recognition as Many-to-Many Feature Matching,
IJCV(69), No. 2, August 2006, pp. 203-222.
Springer DOI 0606
BibRef
Earlier: A1, A2, A5, A3, A4:
Many-to-Many Feature Matching Using Spherical Coding of Directed Graphs,
ECCV04(Vol I: 322-335).
Springer DOI 0405
BibRef
Earlier: A1, A2, A3, A5, A4:
Many-to-Many Matching of Scale-Space Feature Hierarchies Using Metric Embedding,
ScaleSpace03(17-32).
Springer DOI 0310
BibRef

Shokoufandeh, A.[Ali], Keselman, Y.[Yakov], Demirci, M.F.[M. Fatih], Macrini, D.[Diego], Dickinson, S.J.[Sven J.],
Many-to-many feature matching in object recognition: a review of three approaches,
IET-CV(6), No. 6, 2012, pp. 500-513.
DOI Link 1301
BibRef
Earlier:
Many-to-Many Feature Matching in Object Recognition,
CogVis03(107-125).
Springer DOI 0310
BibRef

Dickinson, S.J.[Sven J.], Shokoufandeh, A.[Ali], Keselman, Y.[Yakov], Demirci, M.F.[M. Fatih], Macrini, D.[Diego],
Object Categorization and the Need for Many-to-Many Matching,
DAGM05(501).
Springer DOI 0509
BibRef

Keselman, Y., Shokoufandeh, A., Demirci, M.F., Dickinson, S.J.,
Many-to-many graph matching via metric embedding,
CVPR03(I: 850-857).
IEEE DOI 0307
BibRef

Shokoufandeh, A.[Ali], Bretzner, L.[Lars], Macrini, D.[Diego], Demirci, M.F.[M. Fatih], Jönsson, C.[Clas], Dickinson, S.J.[Sven J.],
The representation and matching of categorical shape,
CVIU(103), No. 2, August 2006, pp. 139-154.
WWW Link. 0608
Generic object recognition; Shape categorization; Graph matching; Scale-spaces; Spectral graph theory BibRef

Kuo, C.T.[Chen-Tsung], Cheng, S.C.[Shyi-Chyi],
3D model retrieval using principal plane analysis and dynamic programming,
PR(40), No. 2, February 2007, pp. 742-755.
WWW Link. 0611
3D models; 3D model retrieval; Principal plane analysis; Graph matching; Dynamic programming BibRef

Merchán, P.[Pilar], Adán, A.[Antonio],
Exploration trees on highly complex scenes: A new approach for 3D segmentation,
PR(40), No. 7, July 2007, pp. 1879-1898.
WWW Link. 0704
3D segmentation; Object extraction; Occluded scenes; Scene analysis; Unstructured 3D data BibRef

Adan, A.[Antonio], Merchan, P.[Pilar], Salamanca, S.[Santiago], Vazquez, A.S., Adan, M., Cerrada, C.,
Objects Layout Graph for 3D Complex Scenes,
ICIP05(III: 433-436).
IEEE DOI 0512
BibRef

Merchan, P.[Pilar], Adan, A.[Antonio], Salamanca, S.[Santiago],
Recognition of Free-Form Objects in Complex Scenes Using DGI-BS Models,
3DPVT06(970-977).
IEEE DOI 0606
BibRef

Adán, A.[Antonio], Adán, M.[Miguel],
Consensus strategy for clustering using RC-images,
PR(47), No. 1, 2014, pp. 402-417.
Elsevier DOI 1310
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Earlier:
Extracting Understandable 3D Object Groups with Multiple Similarity Metrics,
CIARP12(179-186).
Springer DOI 1209
3D shape representation BibRef

Adán, A.[Antonio], Adán, M.[Miguel], Salamanca, S.[Santiago], Merchán, P.[Pilar],
Using Non Local Features for 3D Shape Grouping,
SSPR08(644-653).
Springer DOI 0812
BibRef

Merchán, P.[Pilar], Adán, A.[Antonio],
Analyzing DGI-BS: Properties and Performance Under Occlusion and Noise,
ACIVS07(60-71).
Springer DOI 0708
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Mustičre, S.[Sébastien], Devogele, T.[Thomas],
Matching Networks with Different Levels of Detail,
GeoInfo(12), No. 4, December 2008, pp. xx-yy.
Springer DOI 0804
BibRef

Emms, D.[David], Wilson, R.C.[Richard C.], Hancock, E.R.[Edwin R.],
Graph matching using the interference of continuous-time quantum walks,
PR(42), No. 5, May 2009, pp. 985-1002.
Elsevier DOI 0902
BibRef
Earlier:
Graph Edit Distance without Correspondence from Continuous-Time Quantum Walks,
SSPR08(5-14).
Springer DOI 0812
BibRef
Earlier:
Graph Embedding Using Quantum Commute Times,
GbRPR07(371-382).
Springer DOI 0706
Graph matching; Continuous-time quantum walk; Interference; Object recognition BibRef

Emms, D.[David], Wilson, R.C.[Richard C.], Hancock, E.R.[Edwin R.],
Graph matching using the interference of discrete-time quantum walks,
IVC(27), No. 7, 4 June 2009, pp. 934-949.
Elsevier DOI 0904
BibRef
And: Erratum: PR(42), No. 9, September 2009, pp. 2218.
Elsevier DOI 0905
BibRef
Earlier: A1, A3, A2:
Graph drawing using quantum commute time,
ICPR08(1-4).
IEEE DOI 0812
BibRef
Earlier: A1, A3, A2:
A Correspondence Measure for Graph Matching Using the Discrete Quantum Walk,
GbRPR07(81-91).
Springer DOI 0706
BibRef
And: A1, A3, A2:
Graph Similarity Using Interfering Quantum Walks,
CAIP07(823-831).
Springer DOI 0708
BibRef
Earlier: A1, A3, A2:
Graph Matching using Interference of Coined Quantum Walks,
ICPR06(III: 133-136).
IEEE DOI 0609
Graph matching; Discrete time quantum walk; Auxiliary structure; Interference amplitude; Probabilistic model BibRef

Emms, D.[David], Severini, S.[Simone], Wilson, R.C.[Richard C.], Hancock, E.R.[Edwin R.],
Coined Quantum Walks Lift the Cospectrality of Graphs and Trees,
PR(42), No. 9, September 2009, pp. 1988-2002.
Elsevier DOI 0905
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And: Corrigendum: PR(48), No. 4, 2015, pp. 1574-1575.
Elsevier DOI 1502
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Earlier: EMMCVPR05(332-345).
Springer DOI 0601
Graph spectra; Quantum walks; Unitary representations; Strongly regular graphs; Graph matching; Cospectrality BibRef

Agathos, A.[Alexander], Pratikakis, I.E.[Ioannis E.], Papadakis, P.[Panagiotis], Perantonis, S.J.[Stavros J.], Azariadis, P.[Philip], Sapidis, N.S.[Nickolas S.],
3D articulated object retrieval using a graph-based representation,
VC(26), No. 10, October 2010, pp. 1301-1319.
WWW Link. 1101
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Retrieval of 3D Articulated Objects Using A Graph-Based Representation,
3DOR09(29-36)
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DOI Link 1301
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Xiao, B.[Bai], Song, Y.Z.[Yi-Zhe], Hall, P.M.[Peter M.],
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Elsevier DOI 1106
Graph structure; Object recognition; Structure learning; Spectral graph theory BibRef

Wu, Q.[Qi], Cai, H.P.[Hong-Ping], Hall, P.M.[Peter M.],
Learning Graphs to Model Visual Objects across Different Depictive Styles,
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Mohamed, W.[Waleed], Ben Hamza, A.,
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VC(27), No. 3, March 2011, pp. 305-318.
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Torresani, L.[Lorenzo], Kolmogorov, V.[Vladimir], Rother, C.[Carsten],
A Dual Decomposition Approach to Feature Correspondence,
PAMI(35), No. 2, February 2013, pp. 259-271.
IEEE DOI 1301
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Earlier:
Feature Correspondence Via Graph Matching: Models and Global Optimization,
ECCV08(II: 596-609).
Springer DOI
PDF File. 0810
Code, Matching. Code:
WWW Link. BibRef

Feng, W.[Wei], Liu, Z.Q.A.[Zhi-Qi-Ang], Wan, L.[Liang], Pun, C.M.[Chi-Man], Jiang, J.M.[Jian-Min],
A spectral-multiplicity-tolerant approach to robust graph matching,
PR(46), No. 10, October 2013, pp. 2819-2829.
Elsevier DOI 1306
Attributed graph matching; Spectral multiplicity; Spectrum normalization; Graph warping; Shape retrieval BibRef

Lu, K.[Ke], Ji, R.R.[Rong-Rong], Tang, J.H.[Jin-Hui], Gao, Y.[Yue],
Learning-Based Bipartite Graph Matching for View-Based 3D Model Retrieval,
IP(23), No. 10, October 2014, pp. 4553-4563.
IEEE DOI 1410
graph theory BibRef

Liu, A.A., Nie, W.Z., Gao, Y., Su, Y.T.,
Multi-Modal Clique-Graph Matching for View-Based 3D Model Retrieval,
IP(25), No. 5, May 2016, pp. 2103-2116.
IEEE DOI 1604
computer graphics BibRef

Xiao, J.W.[Jin-Wen], Wei, H.[Hui],
Scale-invariant contour segment context in object detection,
IVC(32), No. 12, 2014, pp. 1055-1066.
Elsevier DOI 1412
Object detection. Hough framework for scale. Graph based matching. Detect boundary of object. BibRef

Serradell, E.[Eduard], Pinheiro, M.A., Sznitman, R., Kybic, J.[Jan], Moreno-Noguer, F.[Francesc], Fua, P.,
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PAMI(37), No. 3, March 2015, pp. 625-638.
IEEE DOI 1502
Gaussian processes BibRef

Serradell, E.[Eduard], Glowacki, P.[Przemyslaw], Kybic, J.[Jan], Moreno-Noguer, F.[Francesc], Fua, P.[Pascal],
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Shang, H.L.[Hui-Liang], Tao, Y.D.[Yu-Dong], Gao, Y.[Yuan], Zhang, C.[Chen], Wang, X.L.[Xiao-Ling],
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Wang, C.[Chong], Huang, K.Q.[Kai-Qi],
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Huang, Y.Z.[Yong-Zhen], Huang, K.Q.[Kai-Qi], Wang, C.[Chong], Tan, T.N.[Tie-Niu],
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bag-of-features links (relations) between features. BibRef

Zhao, X.[Xin], Yu, Y.[Yinan], Huang, Y.Z.[Yong-Zhen], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu],
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Yu, T.S.[Tian-Shu], Wang, R.S.[Rui-Sheng],
Scene parsing using graph matching on street-view data,
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Komodakis, N.[Nikos], Pawan Kumar, M., Paragios, N.[Nikos],
Hyper-Graphs Inference through Convex Relaxations and Move Making Algorithms: Contributions and Applications in Artificial Vision,
FTCGV(10), No. 1, 2016, pp. 1-102.
DOI Link 1606
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Zhou, F.[Feng], de la Torre, F.[Fernando],
Factorized Graph Matching,
PAMI(38), No. 9, September 2016, pp. 1774-1789.
IEEE DOI 1609
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IEEE DOI 1208
Approximation algorithms BibRef

Yang, M.Y.[Michael Ying], Liao, W.[Wentong], Ackermann, H.[Hanno], Rosenhahn, B.[Bodo],
On support relations and semantic scene graphs,
PandRS(131), No. 1, 2017, pp. 15-25.
Elsevier DOI 1709
Scene, understanding BibRef


Chang, H.J.[Hyung Jin], Fischer, T.[Tobias], Petit, M.[Maxime], Zambelli, M.[Martina], Demiris, Y.[Yiannis],
Kinematic Structure Correspondences via Hypergraph Matching,
CVPR16(4216-4225)
IEEE DOI 1612
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Jarraya, H.[Hana], Terrades, O.R.[Oriol Ramos], Lladós, J.[Josep],
Graph Embedding Through Probabilistic Graphical Model Applied to Symbolic Graphs,
IbPRIA17(392-399).
Springer DOI 1706
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Riba, P.[Pau], Lladós, J.[Josep], Fornés, A.[Alicia], Dutta, A.[Anjan],
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Springer DOI 1511
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Carletti, V.[Vincenzo], Foggia, P.[Pasquale], Vento, M.[Mario],
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Springer DOI 1511
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Huang, S.[Shao], Wang, W.Q.[Wei-Qiang],
Retrieving images combining saliency detection with IRM,
ICIP15(517-521)
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Center-surround comparison BibRef

Huang, S.[Shao], Wang, W.Q.[Wei-Qiang], Zhang, H.[Hui],
Retrieving images using saliency detection and graph matching,
ICIP14(3087-3091)
IEEE DOI 1502
Computer vision BibRef

Wang, C.[Chao], Wang, L.[Lei], Liu, L.Q.[Ling-Qiao],
Progressive Mode-Seeking on Graphs for Sparse Feature Matching,
ECCV14(II: 788-802).
Springer DOI 1408
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Collins, T.[Toby], Mesejo, P.[Pablo], Bartoli, A.E.[Adrien E.],
An Analysis of Errors in Graph-Based Keypoint Matching and Proposed Solutions,
ECCV14(VII: 138-153).
Springer DOI 1408
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Liu, F.[Fang], Liu, Y.[Yang], Zhou, G.Y.[Guang-You], Liu, K.[Kang], Zhao, J.[Jun],
Determining Relation Semantics by Mapping Relation Phrases to Knowledge Base,
ACPR13(420-424)
IEEE DOI 1408
Web sites BibRef

Wang, C.[Chao], Wang, L.[Lei], Liu, L.Q.[Ling-Qiao],
Improving Graph Matching via Density Maximization,
ICCV13(3424-3431)
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Cho, M.[Minsu], Lee, K.M.[Kyoung Mu],
Progressive graph matching: Making a move of graphs via probabilistic voting,
CVPR12(398-405).
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Bang, Y.[Yoonsik], Ga, C.[Chillo], Yu, K.[Kiyun],
An Iterative Process for Matching Network Data Sets with Different Level of Detail,
GEOBIA10(xx-yy).
PDF File. 1007
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Hashimoto, M.[Marcelo], Cesar, R.M.[Roberto M.],
Object Detection by Keygraph Classification,
GbRPR09(223-232).
Springer DOI 0905
Variation on key-point detection. BibRef

Knossow, D.[David], Sharma, A.[Avinash], Mateus, D.[Diana], Horaud, R.[Radu],
Inexact Matching of Large and Sparse Graphs Using Laplacian Eigenvectors,
GbRPR09(144-153).
Springer DOI 0905
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Zhang, W.[Wei], Dietterich, T.G.[Thomas G.],
Learning visual dictionaries and decision lists for object recognition,
ICPR08(1-4).
IEEE DOI 0812
Dictionaries map unordered bags of features to know objects. BibRef

Tsolakis, A.[Angelos], Falelakis, M.[Manolis], Delopoulos, A.[Anastasios],
A framework for efficient correspondence using feature interrelations,
ICPR08(1-4).
IEEE DOI 0812
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Krüger, D.[Daniela], Buschmann, C.[Carsten], Fischer, S.[Stefan],
Location-Free Object Tracking on Graph Structures,
SSC08(99-111).
Springer DOI 0810
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Hedau, V.[Varsha], Arora, H.[Himanshu], Ahuja, N.[Narendra],
Matching images under unstable segmentations,
CVPR08(1-8).
IEEE DOI 0806
Region matching issues. BibRef

Nwogu, I.[Ifeoma], Corso, J.J.[Jason J.],
(BP)2: Beyond pairwise Belief Propagation labeling by approximating Kikuchi free energies,
CVPR08(1-8).
IEEE DOI 0806
BibRef
And:
Labeling Irregular Graphs with Belief Propagation,
IWCIA08(xx-yy).
Springer DOI 0804
BibRef

Corso, J.J.[Jason J.], Yuille, A.L.[Alan L.], Tu, Z.W.[Zhuo-Wen],
Graph-shifts: Natural image labeling by dynamic hierarchical computing,
CVPR08(1-8).
IEEE DOI 0806
BibRef
Earlier: A1, A3, A2:
MRF Labeling with a Graph-Shifts Algorithm,
IWCIA08(xx-yy).
Springer DOI 0804
BibRef

Chen, A.Y.C.[Albert Y.C.], Corso, J.J.[Jason J.],
On the Effects of Normalization in Adaptive MRF Hierarchies,
CompIMAGE10(275-286).
Springer DOI 1006
BibRef

Giro, X., Marques, F.,
Detection of Semantic Objects Using Description Graphs,
ICIP05(I: 1201-1204).
IEEE DOI 0512
BibRef

Li, Y.[Yan], Tsin, Y.H.[Yang-Hai], Genc, Y.[Yakup], Kanade, T.[Takeo],
Flexible Edge Arrangement Templates for Object Detection,
WACV08(1-8).
IEEE DOI 0801
BibRef
Earlier:
Statistical Shape Models for Object Recognition and Part Localization,
BMVC06(II:699).
PDF File. 0609
BibRef
Earlier:
Object Detection Using 2D Spatial Ordering Constraints,
CVPR05(II: 711-718).
IEEE DOI 0507
BibRef
And: CVPR05(II: 1188).
IEEE DOI 0507
Use features: See also Distinctive Image Features from Scale-Invariant Keypoints. Find featrues, then groupings for match. Part-based recognition. BibRef

Conte, D., Foggia, P., Sansone, C., Vento, M.,
Graph matching applications in pattern recognition and image processing,
ICIP03(II: 21-24).
IEEE DOI 0312
BibRef

Basu, S., Gupta, A., Sarkar, N., Majumder, D.D.,
Knowledge representation for vision: an associative network for single object representation and recognition,
ICPR90(I: 297-299).
IEEE DOI 9006
BibRef

Granlund, G.H., Knuttson, H.,
Compact associative representation of visual information,
ICPR90(II: 200-207).
IEEE DOI 9208
BibRef

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Spatial Information and Features .


Last update:Nov 18, 2017 at 20:56:18