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1 Michael M. Bronstein Partial similarity of objects 17 December 2006 Partial similarity of objects, or how to compare a centaur to a horse Michael M. Bronstein Department of Computer Science Technion – Israel Institute of Technology
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2 Michael M. Bronstein Partial similarity of objects 17 December 2006 Co-authors Ron KimmelAlex Bronstein BBK = Bronstein, Bronstein, Kimmel BBBK = Bronstein, Bronstein, Bruckstein, Kimmel Alfred Bruckstein
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3 Michael M. Bronstein Partial similarity of objects 17 December 2006 Intrinsic vs. extrinsic similarity INTRINSIC SIMILARITY EXTRINSIC SIMILARITY
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4 Michael M. Bronstein Partial similarity of objects 17 December 2006 Non-rigid objects: basic terms Isometry – deformation that preserves the geodesic distances is -isometrically embeddable into if and are -isometric if, and is -surjective
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5 Michael M. Bronstein Partial similarity of objects 17 December 2006 Examples of near-isometric shapes
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6 Michael M. Bronstein Partial similarity of objects 17 December 2006 Canonical forms and MDS A. Elad, R. Kimmel, CVPR 2001 Embed and into a common metric space by minimum-distortion embeddings and. Compare the images (canonical forms) as rigid objects Efficient computation using multidimensional scaling (MDS)
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7 Michael M. Bronstein Partial similarity of objects 17 December 2006 Generalized MDS Generalized MDS: embed one surface into another Measure of similarity: embedding error Related to the Gromov-Hausdorff distance F. Memoli, G. Sapiro, 2005 BBBK, PNAS, 2006
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8 Michael M. Bronstein Partial similarity of objects 17 December 2006 Semantic definition of partial similarity Two objects are partially similar if they have “large” “similar” “parts”. Example: Jacobs et al.
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9 Michael M. Bronstein Partial similarity of objects 17 December 2006 More precise definitions Part: subset with restricted metric (technically, the set of all parts of is a -algebra) Dissimilarity: intrinsic distance criterion defined on the set of parts (Gromov-Hausdorff distance) Partiality: size of the object parts cropped off, where is the measure of area on
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10 Michael M. Bronstein Partial similarity of objects 17 December 2006 Full versus partial similarity Full similarity Full similarity: and are -isometric Partial similarity: and are -isometric, i.e., have parts which are -isometric, and Partial similarity BBBK, IJCV, submitted
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11 Michael M. Bronstein Partial similarity of objects 17 December 2006 Multicriterion optimization BBBK, IJCV, submitted UTOPIA Minimize the vector objective function over Competing criteria – impossible to minimize and simultaneously ATTAINABLE CRITERIA
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12 Michael M. Bronstein Partial similarity of objects 17 December 2006 Pareto optimum Pareto optimum: point at which no criterion can be improved without compromising the other Pareto frontier: set of all Pareto optima, acting as a set-valued criterion of partial dissimilarity Only partial order relation exists between set-valued distances: not always possible to compare BBBK, IJCV, submitted
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13 Michael M. Bronstein Partial similarity of objects 17 December 2006 Fuzzy computation Optimization over subsets turns into an NP-hard combinatorial problem when discretized Fuzzy optimization: optimize over membership functions BBBK, IJCV, submitted Crisp partFuzzy part
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14 Michael M. Bronstein Partial similarity of objects 17 December 2006 Salukwadze distance The set-valued distance can be converted into a scalar valued one by selecting a single point on the Pareto frontier. Naïve selection: fixed value of or. Smart selection: closest to the utopia point (Salukwadze optimum) Salukwadze distance: M. E. Salukwadze, 1979 BBBK, IJCV, submitted
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15 Michael M. Bronstein Partial similarity of objects 17 December 2006BBBK, IJCV, submitted Example II – mythological creatures Large Gromov-Hausdorff distance Small Salukwadze distance Large Gromov-Hausdorff distance Large Salukwadze distance
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16 Michael M. Bronstein Partial similarity of objects 17 December 2006 Example II – mythological creatures (cont.) BBBK, IJCV, submitted
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17 Michael M. Bronstein Partial similarity of objects 17 December 2006BBBK, IJCV, submitted Example II – mythological creatures (cont.) Gromov-Hausdorff distance Salukwadze distance (using L 1 -norm)
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18 Michael M. Bronstein Partial similarity of objects 17 December 2006
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19 Michael M. Bronstein Partial similarity of objects 17 December 2006 Example II – 3D partially missing objects BBBK, ScaleSpace, submitted Pareto frontiers, representing partial dissimilarities between partially missing objects 0.10.20.30.40.50.60.70.80.9 0 0.01 0.02 0.03 0.04 0.05 0.06 0.07
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20 Michael M. Bronstein Partial similarity of objects 17 December 2006 Example II – 3D partially missing objects Salukwadze distance between partially missing objects (using L 1 -norm) BBBK, ScaleSpace, submitted
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21 Michael M. Bronstein Partial similarity of objects 17 December 2006 Partial similarity of strings
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