Improved point distribution model with curvature for boundary finding

Hae-Chul Choi; Seung-Dae Kim

doi:10.1117/12.453036

4 January 2002 Improved point distribution model with curvature for boundary finding

Hae-Chul Choi, Seung-Dae Kim

Proceedings Volume 4671, Visual Communications and Image Processing 2002; (2002) https://doi.org/10.1117/12.453036
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

This paper proposes an algorithm for extracting the boundary of an object. In order to take full advantage of global shape, our approach uses global shape parameters derived from Point Distribution Model (PDM). Unlike PDM, the proposed method models global shape using curvature as well as edge. The objective function for applying the shape model is formulated using Bayesian rule. This method can extract a boundary of an object by evaluating the solution maximizing the objective function iteratively. Experimental results show that the proposed method requires less computational cost than the PDM and it is robust to noise, pose variation, and some occlusion.

Citation Download Citation

Hae-Chul Choi and Seung-Dae Kim "Improved point distribution model with curvature for boundary finding", Proc. SPIE 4671, Visual Communications and Image Processing 2002, (4 January 2002); https://doi.org/10.1117/12.453036

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