2D shape matching by contour flexibility
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Updated: Jun 27, 2026

Three-Dimensional Shape Modeling and Analysis of Brain Structures
Published on: November 14, 2019
Chunjing Xu1, Jianzhuang Liu, Xiaoou Tang
1Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong. cjxu6@ie.cuhk.edu.hk
Abstract:
In computer vision, shape matching is a challenging problem, especially when articulation and deformation of parts occur. These variations may be insignificant in terms of human recognition, but often cause a matching algorithm to give results that are inconsistent with our perception. In this paper, we propose a novel shape descriptor of planar contours, called contour flexibility, which represents the deformable potential at each point along a contour. With this descriptor, The local and global features can be obtained from the contour. We then present a shape matching scheme based on the features obtained. Experiments with comparisons to recently published algorithms show that our algorithm performs best.
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