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Abstract: Weighted graph matching is a good way to align a pair of shapes represented by a set of descriptive local features; the set of correspondences produced by the minimum cost matching between two shapes' features often reveals how similar the shapes are. However, due to the complexity of computing the exact minimum cost matching, previous algorithms could only run efficiently when using a limited number of features per shape, and could not scale to perform retrievals from large databases. We... (Update)
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BibTeX entry: (Update)
K. Grauman K. and T. Darrell. Fast contour matching using approximate earth mover's distance. In Proc. IEEE Conf. on Comp. Vision and Pattern Recognition, pages 220--227. IEEE Computer Society, 2004. http://citeseer.ist.psu.edu/grauman04fast.html More
@misc{ grauman04fast,
author = "K. Grauman and K. Darrell",
title = "Fast contour matching using approximate earth mover's distance",
text = "K. Grauman K. and T. Darrell. Fast contour matching using approximate earth
mover's distance. In Proc. IEEE Conf. on Comp. Vision and Pattern Recognition,
pages 220--227. IEEE Computer Society, 2004.",
year = "2004",
url = "citeseer.ist.psu.edu/grauman04fast.html" }
Citations (may not include all citations):76 Shape Matching and Object Recognition Using Shape Contexts - Belongie, Malik et al. - 2002
76 Similarity Search in High Dimensions via Hashing - Gionis, Indyk et al. - 1999
12 The Earth Mover's Distance under Transformation Sets - Cohen, Guibas - 1999
5 Boostmap: A Method for Efficient Approximate Similarity Rank.. - Athitsos, Alon et al. - 2004
4 Correspondence and Shape Based Categories (context) - Carlsson - 1998
2 A Pseudo-metric for Weighted Point Sets - Giannopoulos, Veltkamp - 2002
2 Poser 5 : The Ultimate 3D Character Solution (context) - Co - 2002
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