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On deformable models for visual pattern recognition

Authors Cheung, Kwok Wai
Yeung, Dit Yan View this author's profile
Chin, Roland T. HKUST affiliated (currently or previously)
Issue Date 2002
Source Pattern recognition , v. 35, (7), 2002, JUL, p. 1507-1526
Summary This paper reviews model-based methods for non-rigid shape recognition. These methods model, match and classify non-rigid shapes. which are generally problematic for conventational algorithms using rigid models. Issues including model representation, optimization criteria formulation, model matching, and classification are examined in detail with the objective to provide interested researchers a roadmap for exploring the field. This paper emphasizes on 2D deformable models. Their potential applications and future research directions, particularly on deformable pattern classification, are discussed. (C) 2002 Published by Elsevier Science Ltd on behalf of Pattern Recognition Society.
ISSN 0031-3203
Rights Pattern Recognition © copyright (2002) Elsevier. The Journal's web site is located at
Language English
Format Article
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