On deformable models for visual pattern recognition
نویسندگان
چکیده
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 classi3cation are examined in detail with the objective to provide interested researchers a roadmap for exploring the 3eld. This paper emphasizes on 2D deformable models. Their potential applications and future research directions, particularly on deformable pattern classi3cation, are discussed. ? 2002 Published by Elsevier Science Ltd on behalf of Pattern Recognition Society.
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عنوان ژورنال:
- Pattern Recognition
دوره 35 شماره
صفحات -
تاریخ انتشار 2002