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

Xiao Chen; Jicheng Li; Zhiguang Shi; Weiping Yang; Xiaotian Chen

doi:10.1117/1.JEI.25.1.013021

3 February 2016 Distinctive local surface descriptor for three-dimensional objects based on bispectrum of spherical harmonics

Xiao Chen, Jicheng Li, Zhiguang Shi, Weiping Yang, Xiaotian Chen

Author Affiliations +

Journal of Electronic Imaging, Vol. 25, Issue 1, 013021 (February 2016). https://doi.org/10.1117/1.JEI.25.1.013021

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.

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Xiao Chen, Jicheng Li, Zhiguang Shi, Weiping Yang, and Xiaotian Chen "Distinctive local surface descriptor for three-dimensional objects based on bispectrum of spherical harmonics," Journal of Electronic Imaging 25(1), 013021 (3 February 2016). https://doi.org/10.1117/1.JEI.25.1.013021

Published: 3 February 2016

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