7.3.7.2 Similarity Measure, Distance Transforms and Functions for Objects and Shapes

Chapter Contents (Back)
Distance Function. Distance Transform. Distance Metric. Match Measure. Similarity Measures. 9908
See also Image Registration -- The Match Technique, Match Measures. See also Basic Comparison of Relational Network Descriptions. See also General Similarity Measures for Database Indexing.

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Earlier:
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Kamarainen, J.K., Hamouz, M., Kittler, J.V., Paalanen, P., Ilonen, J., Drobchenko, A.,
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Kamarainen, J.K., Ilonen, J., Paalanen, P., Hamouz, M., Kälviäinen, H., Kittler, J.V.,
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Grigorescu, C., Petkov, N.,
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Dissimilarity learning for nominal data,
PR(37), No. 7, July 2004, pp. 1471-1477.
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Distance measure between patterns. BibRef

Yong, D.[Deng], Wenkang, S.[Shi], Feng, D.[Du], Qi, L.[Liu],
A new similarity measure of generalized fuzzy numbers and its application to pattern recognition,
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Serratosa, F.[Francesc], Sanfeliu, A.[Alberto],
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PR(39), No. 5, May 2006, pp. 921-934.
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Fredriksson, K.[Kimmo],
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Ahmad, A.[Amir], Dey, L.[Lipika],
A method to compute distance between two categorical values of same attribute in unsupervised learning for categorical data set,
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Categorical data; Similarity; Unsupervised learning; Co-occurrences BibRef

Li, Y.H.[Yan-Hong], Olson, D.L.[David L.], Qin, Z.[Zheng],
Similarity Measures Between Intuitionistic Fuzzy (Vague) Sets: A Comparative Analysis,
PRL(28), No. 2, 15 January 2007, pp. 278-285.
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Pattern recognition; Similarity measures; Intuitionistic fuzzy sets (IFSs); Vague sets BibRef

Guru, D.S., Nagendraswamy, H.S.,
Symbolic representation of two-dimensional shapes,
PRL(28), No. 1, 1 January 2007, pp. 144-155.
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Axis of least inertia; Feature extraction; Multi-interval-valued features; Symbolic shape representation; Shape similarity; Shape retrieval BibRef

Nagendraswamy, H.S., Guru, D.S.,
A New Method of Representing and Matching Two Dimensional Shapes,
IJIG(7), No. 2, April 2007, pp. 377-405. 0704
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d'Amico, M.[Michele], Frosini, P.[Patrizio], Landi, C.[Claudia],
Using matching distance in size theory: A survey,
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Survey, Distance. BibRef

Efrat, A.[Alon], Fan, Q.F.[Quan-Fu], Venkatasubramanian, S.[Suresh],
Curve Matching, Time Warping, and Light Fields: New Algorithms for Computing Similarity between Curves,
JMIV(27), No. 3, April 2007, pp. 203-216.
Springer DOI 0704
BibRef

Liu, C.J.[Cheng-Jun],
The Bayes Decision Rule Induced Similarity Measures,
PAMI(29), No. 6, June 2007, pp. 1086-1090.
IEEE DOI 0704
Similarity measure for face recognition. For more analysis: See also On Distributional Assumptions and Whitened Cosine Similarities. BibRef

Liu, C.J.[Cheng-Jun],
Clarification of Assumptions in the Relationship between the Bayes Decision Rule and the Whitened Cosine Similarity Measure,
PAMI(30), No. 6, June 2008, pp. 1116-1117.
IEEE DOI 0804
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Bandyopadhyay, S.[Sanghamitra], Saha, S.[Sriparna],
GAPS: A clustering method using a new point symmetry-based distance measure,
PR(40), No. 12, December 2007, pp. 3430-3451.
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Unsupervised classification; Genetic algorithm; Symmetry; Point symmetry-based distance; Kd-tree See also symmetry based multiobjective clustering technique for automatic evolution of clusters, A. BibRef

Saha, S.[Sriparna], Bandyopadhyay, S.[Sanghamitra],
A new multiobjective simulated annealing based clustering technique using symmetry,
PRL(30), No. 15, 1 November 2009, pp. 1392-1403.
Elsevier DOI 0910
Clustering; Multiobjective optimization; Symmetry; Compactness; Simulated annealing BibRef

Qin, Y.S.[Yong-Song], Zhang, S.C.[Shi-Chao],
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PRL(29), No. 6, 15 April 2008, pp. 803-812.
WWW Link. 0803
Empirical likelihood; Confidence interval; Missing data; Imputation BibRef

Loog, M.[Marco],
On Distributional Assumptions and Whitened Cosine Similarities,
PAMI(30), No. 6, June 2008, pp. 1114-1115.
IEEE DOI 0804
See also Bayes Decision Rule Induced Similarity Measures, The. Some assumptions to derive the measure or too restrictive. BibRef

de Raedt, L.[Luc], Ramon, J.[Jan],
Deriving distance metrics from generality relations,
PRL(30), No. 3, 1 February 2009, pp. 187-191.
Elsevier DOI 0804
Distance metric; General-specific ordering; Size-function based metric BibRef

Song, D., Tao, D.,
Biologically Inspired Feature Manifold for Scene Classification,
IP(19), No. 1, January 2010, pp. 174-184.
IEEE DOI 1001
Eucledian distance doesn't work. Difference in features. BibRef

Chang, C.C.[Chin-Chun],
Generalized iterative RELIEF for supervised distance metric learning,
PR(43), No. 8, August 2010, pp. 2971-2981.
Elsevier DOI 1006
Distance metric learning; Iterative RELIEF; Feature weighting BibRef

Chang, C.C.[Chin-Chun],
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PR(45), No. 2, February 2012, pp. 844-862.
Elsevier DOI 1110
Distance metric learning; Hypothesis margins; Boosting approaches BibRef

dos Santos, D.A.[Daniel Andres], Deutsch, R.[Reena],
The Positive Matching Index: A new similarity measure with optimal characteristics,
PRL(31), No. 12, 1 September 2010, pp. 1570-1576.
Elsevier DOI 1008
Binary data; Association coefficient; Jaccard index; Dice index; Similarity Measure of similarity between 2 lists of objects. easy to calculate, and has a meaning expressable in natural language. BibRef

Quadrianto, N.[Novi], Smola, A.J.[Alexander J.], Song, L.[Le], Tuytelaars, T.[Tinne],
Kernelized Sorting,
PAMI(32), No. 10, October 2010, pp. 1809-1821.
IEEE DOI 1008
Similarity measure only needed within each class. Maximize the dependency between matched pairs. BibRef

Dubuisson, S.[Severine],
Tree-structured image difference for fast histogram and distance between histograms computation,
PRL(32), No. 3, 1 February 2011, pp. 411-422.
Elsevier DOI 1101
BibRef
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The computation of the Bhattacharyya distance between histograms without histograms,
IPTA10(373-378).
IEEE DOI 1007
Fast histogram computation; Integral histogram; Histogram-based distance BibRef

Vaccari, L.[Lorenzino], Shvaiko, P.[Pavel], Pane, J.[Juan], Besana, P.[Paolo], Marchese, M.[Maurizio],
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Brunet, D.[Dominique], Vrscay, E.R.[Edward R.], Wang, Z.[Zhou],
On the Mathematical Properties of the Structural Similarity Index,
IP(21), No. 4, April 2012, pp. 1488-1499.
IEEE DOI 1204
BibRef
Earlier:
A Class of Image Metrics Based on the Structural Similarity Quality Index,
ICIAR11(I: 100-110).
Springer DOI 1106
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And:
Structural Similarity-Based Affine Approximation and Self-similarity of Images Revisited,
ICIAR11(II: 264-275).
Springer DOI 1106
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Earlier:
Structural Similarity-Based Approximation of Signals and Images Using Orthogonal Bases,
ICIAR10(I: 11-22).
Springer DOI 1006
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Klette, R.[Reinhard], Žunic, J.[Joviša],
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Elsevier DOI 1204
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Ning, L.P.[Li-Peng], Jiang, X.H.[Xian-Hua], Georgiou, T.,
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IEEE DOI 1307
Gaussian distribution. distance measures between covariance matrices BibRef

Papakostas, G.A., Hatzimichailidis, A.G., Kaburlasos, V.G.,
Distance and similarity measures between intuitionistic fuzzy sets: A comparative analysis from a pattern recognition point of view,
PRL(34), No. 14, 2013, pp. 1609-1622.
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Nascimento, A.D.C., Frery, A.C., Cintra, R.J.,
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Tian, W., Wang, Y., Shan, X., Yang, J.,
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Ethier, M.[Marc], Kaczynski, T.[Tomasz],
Suspension models for testing shape similarity methods,
CVIU(121), No. 1, 2014, pp. 13-20.
Elsevier DOI 1404
Topological suspension BibRef

Iancu, I.[Ion],
Intuitionistic fuzzy similarity measures based on Frank t-norms family,
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Elsevier DOI 1404
Intuitionistic fuzzy set BibRef

Ji, J.Q.[Jian-Qiu], Yan, S.C.[Shui-Cheng], Li, J.M.[Jian-Min], Gao, G.Y.[Guang-Yu], Tian, Q.[Qi], Zhang, B.[Bo],
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Ballatore, A.[Andrea], Bertolotto, M.[Michela], Wilson, D.C.[David C.],
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Ballatore, A.[Andrea], Bertolotto, M.[Michela], Wilson, D.C.[David C.],
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Li, C.Q.[Chao-Qun], Jiang, L.X.[Liang-Xiao], Li, H.W.[Hong-Wei],
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Zujovic, J.[Jana], Pappas, T.N.[Thrasyvoulos N.], Neuhoff, D.L.[David L.], van Egmond, R.[Rene], de Ridder, H.[Huib],
Effective and efficient subjective testing of texture similarity metrics,
JOSA-A(32), No. 2, February 2015, pp. 329-342.
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Pham, M.T.[Minh-Tri], Woodford, O.J.[Oliver J.], Perbet, F.[Frank], Maki, A.[Atsuto], Gherardi, R.[Riccardo], Stenger, B.[Björn], Cipolla, R.[Roberto],
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Dikmen, O., Yang, Z., Oja, E.,
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Pilehvar, M.T.[Mohammad Taher], Navigli, R.[Roberto],
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Cheng, H.[Hong], Liu, Z.C.[Zi-Cheng], Hou, L.[Lei], Yang, J.[Jie],
Sparsity-Induced Similarity Measure and Its Applications,
CirSysVideo(26), No. 4, April 2016, pp. 613-626.
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Zhao, S.H.[Shang-Hong], Ooi, W.T.[Wei Tsang],
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Liu, Y.S.[Yu-Song], Su, Z.X.[Zhi-Xun], Cao, J.J.[Jun-Jie], Wang, H.[Hui],
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Swaminathan, M.[Muthukaruppan], Yadav, P.K.[Pankaj Kumar], Piloto, O.[Obdulio], Sjöblom, T.[Tobias], Cheong, I.[Ian],
A new distance measure for non-identical data with application to image classification,
PR(63), No. 1, 2017, pp. 384-396.
Elsevier DOI 1612
Poisson-Binomial distribution BibRef

Zeng, W.[Wenyi], Li, D.[Deqing], Yin, Q.[Qian],
Distance and similarity measures between hesitant fuzzy sets and their application in pattern recognition,
PRL(84), No. 1, 2016, pp. 267-271.
Elsevier DOI 1612
Hesitant fuzzy sets BibRef

Montalvão, J.[Jugurta], Canuto, J.[Jânio], Carvalho, E.[Elyson],
A correntropy function based on coincidence detection,
PRL(85), No. 1, 2017, pp. 84-88.
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Akbas, C.E.[Cem Emre], Günay, O.[Osman], Tasdemir, K.[Kasim], Çetin, A.E.[A. Enis],
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Uchino, T.[Taichi], Koga, H.[Hisashi], Toda, T.[Takahisa],
Improved Compression-Based Pattern Recognition Exploiting New Useful Features,
IbPRIA17(363-371).
Springer DOI 1706
PRDC (Pattern Representation on Data Compression) and NMD (Normalized Compression Distance). BibRef

Riot, P.[Paul], Almansa, A.[Andrés], Gousseau, Y.[Yann], Tupin, F.[Florence],
A Correlation-Based Dissimilarity Measure for Noisy Patches,
SSVM17(184-195).
Springer DOI 1706
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Shi, J.[Jie], Zhang, W.[Wen], Wang, Y.L.[Ya-Lin],
Shape Analysis with Hyperbolic Wasserstein Distance,
CVPR16(5051-5061)
IEEE DOI 1612
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Demisse, G.G.[Girum G.], Aouada, D.[Djamila], Ottersten, B.[Björn],
Similarity Metric for Curved Shapes in Euclidean Space,
CVPR16(5042-5050)
IEEE DOI 1612
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Tax, D.M.J.[David M.J.], Cheplygina, V.[Veronika], Duin, R.P.W.[Robert P.W.], van de Poll, J.[Jan],
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SSSPR16(84-94).
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Suhaibah, A., Uznir, U., Anton, F., Mioc, D., Rahman, A.A.,
3d Nearest Neighbour Search Using A Clustered Hierarchical Tree Structure,
ISPRS16(B2: 87-93).
DOI Link 1610
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Ramachandran, G.,
A combined distance measure for 2D shape matching,
ICCVIA15(1-5)
IEEE DOI 1603
differential geometry BibRef

Liu, Y., Wang, Y., Sowmya, A.[Arcot],
Batch Mode Active Learning for Object Detection Based on Maximum Mean Discrepancy,
DICTA15(1-7)
IEEE DOI 1603
learning (artificial intelligence) BibRef

Wu, X.M.[Xiao-Ming], Li, Z.G.[Zhen-Guo], Chang, S.F.[Shih-Fu],
New insights into Laplacian similarity search,
CVPR15(1949-1957)
IEEE DOI 1510
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Xiao, Y.[Yao], Lu, C.[Cewu], Tsougenis, E.[Efstratios], Lu, Y.Y.[Yong-Yi], Tang, C.K.[Chi-Keung],
Complexity-adaptive distance metric for object proposals generation,
CVPR15(778-786)
IEEE DOI 1510
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Nakamura, K.[Kazuaki], Babaguchi, N.[Noboru],
Inter-Concept Distance Measurement with Adaptively Weighted Multiple Visual Features,
FSLCV14(III: 56-70).
Springer DOI 1504
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Shtern, A.[Alon], Kimmel, R.[Ron],
Iterative Closest Spectral Kernel Maps,
3DV14(499-505)
IEEE DOI 1503
Laplace-Beltrami operator; correspondence; shape matching. Measure of similarity of shapes. BibRef

Hast, A.[Anders],
Robust and Invariant Phase Based Local Feature Matching,
ICPR14(809-814)
IEEE DOI 1412
Correlation. Patches. BibRef

Aidos, H.[Helena], Fred, A.[Ana],
Learning Similarities by Accumulating Evidence in a Probabilistic Way,
CIARP14(596-603).
Springer DOI 1411
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Kowalik-Urbaniak, I.A.[Ilona A.], La Torre, D.[Davide], Vrscay, E.R.[Edward R.], Wang, Z.[Zhou],
Some 'Weberized' L2-Based Methods of Signal/Image Approximation,
ICIAR14(I: 20-29).
Springer DOI 1410
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Yu, A.[Aron], Grauman, K.[Kristen],
Just Noticeable Differences in Visual Attributes,
ICCV15(2416-2424)
IEEE DOI 1602
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Earlier:
Fine-Grained Visual Comparisons with Local Learning,
CVPR14(192-199)
IEEE DOI 1409
fine-grained; learning-to-rank; local learning; relative attributes Which image is closer to an attribute. BibRef

Chen, C.Y.[Chao-Yeh], Grauman, K.[Kristen],
Inferring Analogous Attributes,
CVPR14(200-207)
IEEE DOI 1409
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Liang, L.[Lucy], Grauman, K.[Kristen],
Beyond Comparing Image Pairs: Setwise Active Learning for Relative Attributes,
CVPR14(208-215)
IEEE DOI 1409
active BibRef

Gardner, A.[Andrew], Kanno, J.[Jinko], Duncan, C.A.[Christian A], Selmic, R.[Rastko],
Measuring Distance between Unordered Sets of Different Sizes,
CVPR14(137-143)
IEEE DOI 1409
Earth Mover's Distance;Jaccard Index;Metric BibRef

Liwicki, S.[Stephan], Pham, M.T.[Minh-Tri], Zafeiriou, S.P.[Stefanos P.], Pantic, M.[Maja], Stenger, B.[Bjorn],
Full-Angle Quaternions for Robustly Matching Vectors of 3D Rotations,
CVPR14(105-112)
IEEE DOI 1409
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Jayasumana, S.[Sadeep], Salzmann, M.[Mathieu], Li, H.D.[Hong-Dong], Harandi, M.T.[Mehrtash T.],
A Framework for Shape Analysis via Hilbert Space Embedding,
ICCV13(1249-1256)
IEEE DOI 1403
Mercer kernels; Positive definite kernels; Shape analysis; Shape manifold BibRef

Tabia, H.[Hedi], Picard, D.[David], Laga, H.[Hamid], Gosselin, P.H.[Philippe-Henri],
Fast Approximation of Distance Between Elastic Curves using Kernels,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Mottini, A.[Alejandro], Descombes, X.[Xavier], Besse, F.[Florence],
Tree-like Shapes Distance Using the Elastic Shape Analysis Framework,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Alexandre, L.A.[Luís A.],
Set Distance Functions for 3D Object Recognition,
CIARP13(I:57-64).
Springer DOI 1311
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Martos, G.[Gabriel], Muñoz, A.[Alberto], González, J.[Javier],
On the Generalization of the Mahalanobis Distance,
CIARP13(I:125-132).
Springer DOI 1311
BibRef

Martos, G.[Gabriel], Muñoz, A.[Alberto],
Local Entropies for Kernel Selection and Outlier Detection in Functional Data,
CIARP15(611-618).
Springer DOI 1511
BibRef

Muñoz, A.[Alberto], Martos, G.[Gabriel], González, J.[Javier],
A New Distance for Data Sets in a Reproducing Kernel Hilbert Space Context,
CIARP13(I:222-229).
Springer DOI 1311
BibRef

Drayer, B.[Benjamin], Brox, T.[Thomas],
Training Deformable Object Models for Human Detection Based on Alignment and Clustering,
ECCV14(V: 406-420).
Springer DOI 1408
BibRef
Earlier:
Distances Based on Non-rigid Alignment for Comparison of Different Object Instances,
GCPR13(215-224).
Springer DOI 1311
BibRef

Amelio, A.[Alessia], Pizzuti, C.[Clara],
A New Evolutionary-Based Clustering Framework for Image Databases,
ICISP14(322-331).
Springer DOI 1406
BibRef
Earlier:
Average Common Submatrix: A New Image Distance Measure,
CIAP13(I:170-180).
Springer DOI 1311
BibRef

Elboer, E.[Elhanan], Werman, M.[Michael], Hel-Or, Y.[Yacov],
The Generalized Laplacian Distance and Its Applications for Visual Matching,
CVPR13(2315-2322)
IEEE DOI 1309
graph Laplacian; template matching BibRef

Farahzadeh, E.[Elahe], Cham, T.J.[Tat-Jen], Li, W.Q.[Wan-Qing],
Incorporating local and global information using a novel distance function for scene recognition,
WORV13(132-137)
IEEE DOI 1307
BibRef

Diu, M.[Michael], Gangeh, M.[Mehrdad], Kamel, M.S.[Mohamed S.],
Unsupervised Visual Changepoint Detection Using Maximum Mean Discrepancy,
ICIAR13(336-345).
Springer DOI 1307
Quantify similarity between objects. BibRef

Tan, Y.[Ying], Fang, Y.[Yuchun], Li, Y.[Yang], Dai, W.[Wang],
Adaptive Kernel Size Selection for Correntropy Based Metric,
CVLBP12(I:50-60).
Springer DOI 1304
correntropy to measure similarity of 2 random variables. BibRef

Bougleux, S.[Sebastien], Dupe, F.X.[Francois-Xavier], Brun, L.[Luc], Gauzere, B.[Benoit], Mokhtari, M.[Myriam],
Shape similarity based on combinatorial maps and a tree pattern kernel,
ICPR12(1602-1605).
WWW Link. 1302
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Karsnas, A.[Andreas], Strand, R.[Robin], Saha, P.K.[Punam K.],
The vectorial Minimum Barrier Distance,
ICPR12(792-795).
WWW Link. 1302
BibRef

Chauhan, A.[Aneesh], Lopes, L.S.[Luis Seabra],
Manhattan-Pyramid Distance: A solution to an anomaly in pyramid matching by minimization,
ICPR12(2668-2672).
WWW Link. 1302
BibRef

Wu, M.[Meng], Zhou, J.[Jun], Sun, J.[Jun],
Learning a Mahalanobis distance metric via regularized LDA for scene recognition,
ICIP12(3125-3128).
IEEE DOI 1302
BibRef

Sethi, M.[Manu], Rangarajan, A.[Anand], Gurumoorthy, K.[Karthik],
The Schrödinger distance transform (SDT) for point-sets and curves,
CVPR12(198-205).
IEEE DOI 1208
BibRef

Wang, H.[Hua], Nie, F.P.[Fei-Ping], Huang, H.[Heng],
Robust and discriminative distance for Multi-Instance Learning,
CVPR12(2919-2924).
IEEE DOI 1208
BibRef

Verma, N.[Nakul], Mahajan, D.[Dhruv], Sellamanickam, S.[Sundararajan], Nair, V.[Vinod],
Learning hierarchical similarity metrics,
CVPR12(2280-2287).
IEEE DOI 1208
BibRef

Zaidi, N.A.[Nayyar A.], Squire, D.M.[David McG.],
Local Adaptive SVM for Object Recognition,
DICTA10(196-201).
IEEE DOI 1012
BibRef
And:
SVMs and data dependent distance metric,
IVCNZ10(1-7).
IEEE DOI 1203
BibRef

Hou, J.[Jian], Zhang, B.P.[Bo-Ping], Qi, N.M.[Nai-Ming], Yang, Y.[Yong],
Evaluating Feature Combination in Object Classification,
ISVC11(II: 597-606).
Springer DOI 1109
combine multiple features to get a stronger feature. BibRef

Curic, V.[Vladimir], Lindblad, J.[Joakim], Sladoje, N.[Nataša],
Distance Measures between Digital Fuzzy Objects and Their Applicability in Image Processing,
IWCIA11(385-397).
Springer DOI 1105
BibRef

Wagner, J.[Jenny], Ommer, B.[Björn],
Efficient Clustering Earth Mover's Distance,
ACCV10(II: 477-488).
Springer DOI 1011
BibRef

Boltz, S.[Sylvain], Nielsen, F.[Frank], Soatto, S.[Stefano],
Earth Mover Distance on superpixels,
ICIP10(4597-4600).
IEEE DOI 1009
BibRef

Xu, W.P.[Wei-Ping], Hancock, E.R.[Edwin R.], Wilson, R.C.[Richard C.],
Ricci flow embedding for rectifying non-Euclidean dissimilarity data,
PR(47), No. 11, 2014, pp. 3709-3725.
Elsevier DOI 1407
BibRef
Earlier:
Rectifying Non-Euclidean Similarity Data Using Ricci Flow Embedding,
ICPR10(3324-3327).
IEEE DOI 1008
BibRef
And:
Rectifying Non-euclidean Similarity Data through Tangent Space Reprojection,
IbPRIA11(379-386).
Springer DOI 1106
Non-Euclidean pairwise data BibRef

Xu, E.[Eilza], Wilson, R.C.[Richard C.], Hancock, E.R.[Edwin R.],
Curvature Estimation for Ricci Flow Embedding,
ICPR14(1562-1567)
IEEE DOI 1412
Eigenvalues and eigenfunctions BibRef

Fan, Y.[Yu], Houle, D.[David], Mio, W.[Washington],
Learning Metrics for Shape Classification and Discrimination,
ICPR10(2652-2655).
IEEE DOI 1008
generalize the Procrustes distance. BibRef

Ibba, A.[Alessandro], Duin, R.P.W.[Robert P.W.], Lee, W.J.[Wan-Jui],
A Study on Combining Sets of Differently Measured Dissimilarities,
ICPR10(3360-3363).
IEEE DOI 1008
BibRef

Liu, Y.H.[Yong-Huai], Martin, R.R.[Ralph R.], Li, L.Z.[Long-Zhuang], Wei, B.G.[Bao-Gang],
Accurate Overlap Area Detection Using a Histogram and Multiple Closest Points,
ICCVG10(II: 98-109).
Springer DOI 1009
BibRef

Pele, O.[Ofir], Werman, M.[Michael],
The Quadratic-Chi Histogram Distance Family,
ECCV10(II: 749-762).
Springer DOI 1009
BibRef

Kim, J.[Junae], Shen, C.H.[Chun-Hua], Wang, L.[Lei],
A Scalable Algorithm for Learning a Mahalanobis Distance Metric,
ACCV09(III: 299-310).
Springer DOI 0909
BibRef

Cheng, H.[Hong], Liu, Z.C.[Zi-Cheng], Yang, J.[Jie],
Sparsity induced similarity measure for label propagation,
ICCV09(317-324).
IEEE DOI 0909
BibRef

Gissler, M., Dornhege, C., Nebel, B., Teschner, M.,
Deformable Proximity Queries and Their Application in Mobile Manipulation Planning,
ISVC09(I: 79-88).
Springer DOI 0911
Distance between arbitrary objects. BibRef

Jin, R.[Rong], Wang, S.J.[Shi-Jun], Zhou, Z.H.[Zhi-Hua],
Learning a distance metric from multi-instance multi-label data,
CVPR09(896-902).
IEEE DOI 0906
BibRef

Rouse, D.M.[David M.], Hemami, S.S.[Sheila S.],
Understanding and simplifying the structural similarity metric,
ICIP08(1188-1191).
IEEE DOI 0810
BibRef

Née, G.[Guillaume], Jehan-Besson, S.[Stéphanie], Brun, L.[Luc], Revenu, M.[Marinette],
Significance Tests and Statistical Inequalities for Segmentation by Region Growing on Graph,
CAIP09(939-946).
Springer DOI 0909
BibRef
And:
Significance Tests and Statistical Inequalities for Region Matching,
SSPR08(350-360).
Springer DOI 0812
BibRef

Dinh, H.Q.[H. Quynh], Xu, L.F.[Lie-Fei],
Measuring the Similarity of Vector Fields Using Global Distributions,
SSPR08(187-196).
Springer DOI 0812
BibRef

Lakaemper, R.[Rolf], Zeng, J.T.[Jing-Ting],
A Context Dependent Distance Measure for Shape Clustering,
ISVC08(II: 145-156).
Springer DOI 0812
BibRef

Medina Pagola, J.E.[José E.], Rodríguez González, A.Y.[Ansel Y.], Díaz, A.H.[Abdel Hechavarría],
Formal Distance vs. Association Strength in Text Processing,
CIARP07(930-939).
Springer DOI 0711
BibRef

Perez-Garcia, A.[Arturo], Ayala-Ramirez, V.[Victor], Sanchez-Yanez, R.E.[Raul E.], Avina-Cervantes, J.G.[Juan-Gabriel],
Monte Carlo Evaluation of the Hausdorff Distance for Shape Matching,
CIARP06(686-695).
Springer DOI 0611
BibRef

Rieck, K.[Konrad], Laskov, P.[Pavel], Müller, K.R.[Klaus-Robert],
Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels,
DAGM06(374-383).
Springer DOI 0610
BibRef

Park, B.G.[Bo Gun], Lee, K.M.[Kyoung Mu], Lee, S.U.[Sang Uk],
A New Similarity Measure for Random Signatures: Perceptually Modified Hausdorff Distance,
ACIVS06(990-1001).
Springer DOI 0609
BibRef

Bhamidipati, N.L.[Narayan L.], Pal, S.K.[Sankar K.],
Comparing rank-inducing scoring systems,
ICPR06(III: 300-303).
IEEE DOI 0609
BibRef

Yu, H.C.[Hong-Chuan], Bennamoun, M.[Mohammed],
Two Novel Complete Sets of Similarity Invariants,
ISVC05(659-665).
Springer DOI 0512
BibRef

Steele, R.M.[R. Matt], Jaynes, C.[Christopher],
Feature Uncertainty Arising from Covariant Image Noise,
CVPR05(I: 1063-1070).
IEEE DOI 0507
Error or distance measures for features. BibRef

Chen, H.T.[Hwann-Tzong], Liu, T.L.[Tyng-Luh], Fuh, C.S.[Chiou-Shann],
Learning Effective Image Metrics from Few Pairwise Examples,
ICCV05(II: 1371-1378).
IEEE DOI 0510
BibRef

Horiuchi, T.,
Similarity measure of labelled images,
ICPR04(III: 602-605).
IEEE DOI 0409
BibRef

Leow, A., Chiang, M.C.[Ming-Chang], Protas, H., Thompson, P., Vese, L.A., Huang, H.S.C.,
Linear and non-linear geometric object matching with implicit representation,
ICPR04(III: 710-713).
IEEE DOI 0409
Matching points, curves, surfaces. General comparisons. BibRef

Mahamud, S.[Shyjan], Hebert, M.[Martial],
The optimal distance measure for object detection,
CVPR03(I: 248-255).
IEEE DOI 0307
BibRef

Mahamud, S.[Shyjan], Hebert, M.[Martial],
Minimum risk distance measure for object recognition,
ICCV03(242-248).
IEEE DOI 0311
BibRef

Herbin, S.,
Similarity measures between feature maps: Application to texture comparison,
Texture02(67-72). 0207
BibRef

Niblack, C.W., Yin, J.,
A pseudo-distance measure for 2D shapes based on turning angle,
ICIP95(III: 352-355).
IEEE DOI 9510
BibRef

Tanaka, E.[Eiichi], Awano, H.[Hiroaki], Masuda, S.[Sumio],
A proximity measure of line drawings for comparison of chemical compounds,
CAIP93(291-298).
Springer DOI 9309
BibRef

Washio, N.[Nobuyuki], Tanaka, E.[Eiichi], Masuda, S.[Sumio],
A similarity measure between 3-D objects and its parallel computation,
CAIP93(322-326).
Springer DOI 9309
BibRef

Ambroszkiewicz, S.[Stanislaw],
Primitive and compound patterns,
CAIP93(317-321).
Springer DOI 9309
BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Closest Point Algorithms, ICP, Iterative Closest Point .


Last update:Nov 11, 2017 at 13:31:57