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Proceedings Paper

Improved point distribution model with curvature for boundary finding
Author(s): Hae-Chul Choi; Seung-Dae Kim
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Paper 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.

Paper Details

Date Published: 4 January 2002
PDF: 10 pages
Proc. SPIE 4671, Visual Communications and Image Processing 2002, (4 January 2002); doi: 10.1117/12.453036
Show Author Affiliations
Hae-Chul Choi, Korea Advanced Institute of Science and Technology (South Korea)
Seung-Dae Kim, Korea Advanced Institute of Science and Technology (South Korea)

Published in SPIE Proceedings Vol. 4671:
Visual Communications and Image Processing 2002
C.-C. Jay Kuo, Editor(s)

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