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Proceedings Paper

Shape matching of partially occluded objects for image retrieval using hierarchical content description
Author(s): Yaowu Xu; Eli S. Saber; A. Murat Tekalp
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Paper Abstract

This paper proposes a new contour based shape matching approach capable of recognizing partially occluded objects in images. There are tow major steps in the recognition process of partially occluded objects: 1) feature extraction, and 2) similarity matching. The features for a candidate image region are the contour for better accuracy in curvature estimation. To determine the similarity between a candidate region and an object template, we compute the Hausdorff distance from the contour of the candidate image region to that of the template, where the region contour has been mapped into the template domain. Once a match is established, the information is retained using a hierarchical content description scheme, enabling expedient object based image retrieval at a later time.

Paper Details

Date Published: 1 January 2001
PDF: 11 pages
Proc. SPIE 4315, Storage and Retrieval for Media Databases 2001, (1 January 2001); doi: 10.1117/12.410977
Show Author Affiliations
Yaowu Xu, Univ. of Rochester (United States)
Eli S. Saber, Univ. of Rochester and Xerox Corp. (United States)
A. Murat Tekalp, Univ. of Rochester (United States)

Published in SPIE Proceedings Vol. 4315:
Storage and Retrieval for Media Databases 2001
Minerva M. Yeung; Chung-Sheng Li; Rainer W. Lienhart, Editor(s)

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