2009Journal of Chinese Computer SystemsRequires access

3D Model Retrieval Based on Spherical Harmonics

Min Li

Open publisher page 1 citations

Abstract

In this paper,four spherical functions based on 3D model geometry features was defined,each spherical function describe 3D model from a certain point of view.Then,spherical harmonic transform was used on these functions and the energy of the coeffi-cients of spherical harmonics was used to form four 3D feature descriptors. For the discrimination power of feature descriptors based on single spherical function was limited, feature descriptors based on multiple spherical functions was proposed. The experimental results indicate that the feature descriptors proposed in this paper have pretty good retrieval performance, especially the feature desc-riptor based on all four spherical functions performs better than some other feature descriptors based on spherical harmonics.

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What this paper is about

In this paper,four spherical functions based on 3D model geometry features was defined,each spherical function describe 3D model from a certain point of view.Then,spherical harmonic transform was used on these functions and the energy of the coeffi-cients of spherical harmonics was used to form four 3D feature descriptors. For the discrimination power of feature descriptors based on single spherical function was limited, feature descriptors based on multiple spherical functions was proposed. The experimental results indicate that the feature descriptors proposed in this paper have pretty good retrieval performance, especially the feature desc-riptor based on all four spherical functions performs better than some other feature descriptors based on spherical harmonics.

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Available abstract

In this paper,four spherical functions based on 3D model geometry features was defined,each spherical function describe 3D model from a certain point of view.Then,spherical harmonic transform was used on these functions and the energy of the coeffi-cients of spherical harmonics was used to form four 3D feature descriptors. For the discrimination power of feature descriptors based on single spherical function was limited, feature descriptors based on multiple spherical functions was proposed. The experimental results indicate that the feature descriptors proposed in this paper have pretty good retrieval performance, especially the feature desc-riptor based on all four spherical functions performs better than some other feature descriptors based on spherical harmonics.

Key concepts: Spherical harmonics, Zonal spherical harmonics, Spin-weighted spherical harmonics, Tensor operator, Feature (linguistics), Solid harmonics, Vector spherical harmonics, Computer science

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