A new descriptor for shape recognition and retrieval

Authors:
Jianning Liang
Affiliations:
School of Computer Science and Technology, Fudan University, Shanghai, China
Venue:
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Year:
2010

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Abstract

A new descriptor for shape recognition and retrieval is presented in this paper. The contour points of the shape are evenly sampled. With adjacent points linked by a line, the shape is represented by a complex polygon. The centroid of the polygon can be calculated with very low time cost. For every contour point, a two dimensional histogram is constructed to describe the spatial distribution of contour points with respect to the centroid and the point. Based on these 2D histograms, a three dimensional histogram i.e. the proposed descriptor is extracted. The descriptor is proved to be invariant to the similar transformation. The approach performs well on the experiments of shape recognition. And the experimental results of image retrieval show that it outperforms other methods.