Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/2116

On deformable models for visual pattern recognition

Authors Cheung, KW
Yeung, DY
Chin, RT
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.
Subjects
ISSN 0031-3203
Rights Pattern Recognition © copyright (2002) Elsevier. The Journal's web site is located at http://www.sciencedirect.com/
Language English
Format Article
Access View full-text via DOI
View full-text via Web of Science
View full-text via Scopus
Find@HKUST
Files in this item:
File Description Size Format
1_4ondef.pdf 5.59 MB Adobe PDF