@article{441d7f6f87a34c0195e3ba012600c5d0,
title = "On deformable models for visual pattern recognition",
abstract = "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 conventional 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.",
keywords = "Classification, Constraint incorporation, Criteria formulation, Deformable models, Initialization, Matching, Model representation, Optimization, Regularization, Topology adaptation",
author = "CHEUNG, {Kwok Wai} and Yeung, {Dit Yan} and CHIN, {Roland T.}",
note = "Funding Information: About the Author —PROFESSOR CHIN received the B.S. with honors and the Ph.D., in Electrical Engineering from the University of Missouri, Columbia. From 1979 to 1981, he was a researcher at NASA Goddard Space Flight Center, Maryland. He was on the faculty of Electrical and Computer Engineering at the University of Wisconsin, Madison from 1981 to 1995; become a full Professor in 1989 and served as Associate Department Chair from 1986 to 1990. Since 1992, he has been a professor of the Computer Science Department of the Hong Kong University of Science and Technology, and is now Department Head. Professor Chin was the recipient of the NSF Presidential Young Investigator Award in 1984. He has served on the editorial board of of the IEEE Transactions on Image Processing and the IEEE Transactions on Pattern Analysis and Machine Intelligence. Funding Information: This research work was supported in part by the Hong Kong Research Grants Council (RGC) under Competitive Earmarked Research Grants HKUST 746/96E and HKUST 6081/97E. Funding Information: The research reported in this paper was supported in part by the Hong Kong Research Grants Council (RGC) under Competitive Earmarked Research Grants HKUST 746/96E and HKUST 6081/97E. ",
year = "2002",
month = jul,
doi = "10.1016/S0031-3203(01)00135-2",
language = "English",
volume = "35",
pages = "1507--1526",
journal = "Pattern Recognition",
issn = "0031-3203",
publisher = "Elsevier Ltd.",
number = "7",
}