Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31990
Title: Rotation-invariant nonrigid point set matching in cluttered scenes
Authors: Lian, W
Zhang, L 
Zhang, D 
Keywords: Dynamic programming (DP)
Point set matching
Shape context (SC)
Shape representation
Issue Date: 2012
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on image processing, 2012, v. 21, no. 5, 6144738, p. 2786-2797 How to cite?
Journal: IEEE transactions on image processing 
Abstract: This paper addresses the problem of rotation-invariant nonrigid point set matching. The shape context (SC) feature descriptor is used because of its strong discriminative nature, whereas edges in the graphs constructed by point sets are used to determine the orientations of SCs. Similar to lengths or directions, oriented SCs constructed this way can be regarded as attributes of edges. By matching edges between two point sets, rotation invariance is achieved. Two novel ways of constructing graphs on a model point set are proposed, aiming at making the orientations of SCs as robust to disturbances as possible. The structures of these graphs facilitate the use of dynamic programming (DP) for optimization. The strong discriminative nature of SC, the special structure of the model graphs, and the global optimality of DP make our methods robust to various types of disturbances, particularly clutters. The extensive experiments on both synthetic and real data validated the robustness of the proposed methods to various types of disturbances. They can robustly detect the desired shapes in complex and highly cluttered scenes.
URI: http://hdl.handle.net/10397/31990
ISSN: 1057-7149
EISSN: 1941-0042
DOI: 10.1109/TIP.2012.2186309
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