A new spectral feature for shape comparison

Document Type

Conference Proceeding

Publication Date

12-1-2008

Abstract

Boundary is an important characteristic to describe a shape in computer vision and image retrieval. A normalized Canonical Polygonal Representation (NCPR) which represents uniquely a polygonal boundary was introduced in the previous study. The objective of this study is to show 1) how a shape feature can be obtained from NCPR, 2) how to utilize this shape feature in shape comparison, 3) to explore effects of the feature parameters on shape comparison, and 4) to explore robustness and closeness of some similarity measures to visual similarity while using the feature proposed. Experimental results show that the approach proposed is robust and discriminative among similar and dissimilar shapes.

Publication Source (Journal or Book title)

Proceedings of the 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008

First Page

23

Last Page

27

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