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Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/2116
Title: On deformable models for visual pattern recognition
Authors: Cheung, Kwok-Wai
Yeung, Dit-Yan
Chin, Roland T.
Keywords: Deformable models
Visual pattern recognition
Non-rigid shapes
Model matching
Classification
Conventional algorithms
Issue Date: Jul-2002
Citation: Pattern recognition, v. 35, no. 7, July 2002, p. 1507-1526
Abstract: This paper reviews model-based methods for non-rigid shape analysis and recognition. These methods model, match and classify non-rigid shapes, which are generally problematic for conventional algorithms using rigid models. Issues including deformable model representation, optimization criteria formulation, model matching, and classification are examined in detail. The emphasis of this paper is on 2D deformable models, but some existing 2½D and 3D deformable models are also briefly reviewed. Potential applications of deformable models and future research directions are discussed.
Rights: Pattern Recognition © copyright (2002) Elsevier. The Journal's web site is located at http://www.sciencedirect.com/
URI: http://hdl.handle.net/1783.1/2116
Appears in Collections:CSE Journal/Magazine Articles

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