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Journal of Electronic Imaging

Distinctive local surface descriptor for three-dimensional objects based on bispectrum of spherical harmonics
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Paper Abstract

The description of local surface features is a critical step in surface matching and object recognition. We present a descriptor for three-dimensional shapes based on the bispectrum of spherical harmonics (BSH). First, points in a support region of a feature point are used to construct a local reference frame, and a histogram is formed by accumulating the points falling within each bin in the support region. Second, spherical harmonic coefficients of the histogram and its bispectrum are calculated. Finally, the feature descriptor is obtained via principal component analysis. We tested our BSH descriptor on public datasets and compared its performance with that of several existing methods. The results of our experiments show that the proposed descriptor outperforms other methods under various noise levels and mesh resolutions.

Paper Details

Date Published: 3 February 2016
PDF: 8 pages
J. Electron. Imaging. 25(1) 013021 doi: 10.1117/1.JEI.25.1.013021
Published in: Journal of Electronic Imaging Volume 25, Issue 1
Show Author Affiliations
Xiao Chen, National Univ. of Defense Technology (China)
Jicheng Li, National Univ. of Defense Technology (China)
Zhiguang Shi, National Univ. of Defense Technology (China)
Weiping Yang, National Univ. of Defense Technology (China)
Xiaotian Chen, National Univ. of Defense Technology (China)


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