Model-based shape classification using shape-transformation-invariant descriptors

Samuel C. Lee; Yiming Wang; Elisa T. Lee

doi:10.1117/12.643555

18 January 2006 Model-based shape classification using shape-transformation-invariant descriptors

Samuel C. Lee, Yiming Wang, Elisa T. Lee

Proceedings Volume 6066, Vision Geometry XIV; 606604 (2006) https://doi.org/10.1117/12.643555
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

The shape classification methods derived from similarity measures based on the shape-transformation-variant descriptors often require shape normalization/standardization that involves complicated computations and contour or code matching schemes. In this paper, we introduce a quantitative similarity measure and a new model-based shape classification method which uses exclusively the shape-transformation-invariant descriptors. This method eliminates all possible variations and potential problems caused by shape transformation, and complicated contour matching and/or shape normalization/standardization procedures.

Citation Download Citation

Samuel C. Lee, Yiming Wang, and Elisa T. Lee "Model-based shape classification using shape-transformation-invariant descriptors", Proc. SPIE 6066, Vision Geometry XIV, 606604 (18 January 2006); https://doi.org/10.1117/12.643555

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