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CVPR
2010
IEEE

Two Perceptually Motivated Strategies for Shape Classification

9 years 6 months ago
Two Perceptually Motivated Strategies for Shape Classification
In this paper, we propose two new, perceptually motivated strategies to better measure the similarity of 2D shape instances that are in the form of closed contours. The first strategy handles shapes that can be decomposed into a base structure and a set of inward or outward pointing “strand” structures, where a strand structure represents a very thin, elongated shape part attached to the base structure. The similarity of two such shape contours can be better described by measuring the similarity of their base structures and strand structures in different ways. The second strategy handles shapes that exhibit good bilateral symmetry. In many cases, such shapes are invariant to a certain level of scaling transformation along their symmetry axis. In our experiments, we show that these two strategies can be integrated into available shape matching methods to improve the performance of shape classification on several widely used shape data sets.
Andrew Temlyakov, Brent C. Munsell, Jarrell W. Wag
Added 31 Mar 2010
Updated 14 May 2010
Type Conference
Year 2010
Where CVPR
Authors Andrew Temlyakov, Brent C. Munsell, Jarrell W. Waggoner, Song Wang
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