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Robust multi-TAR of barycenter contour for multiple views shape matching and retrieval
Author(s)
Thourn, Kosorl
Kitjaidure, Yuttana
Date Issued
January 1, 2008
Type
Conference Paper
Abstract
In this paper, we present a one dimensional descriptor for the two dimensional object silhouettes associated with each level of barycenter contour for multiple views shape matching and retrieval. Firstly, the barycenter contour is applied onto the shape contour. Then the averaging multitriangle area representation (AMTAR) at each level of barycenter contour is computed as the shape descriptor. Finally, to classify among the shapes, the normalized crosscorrelation function is used. Our algorithm is implemented on database consisting of 560 affine distorted shapes, chosen from MPEG-7 contour shape database CE-1. The experimental results indicate that the proposed method is invariant to affine transformation, robustness to the noise, and achieves high retrieval performance. © 2008 IEEE.
Citation
2008 IEEE International Conference on Robotics and Biomimetics Robio 2008, 1894-1898, 2008