A rotation invariant 3D shape descriptor

被引：0

作者：

Xin, Guyu ^{[1
]}

Zha, Hongbin ^{[1
]}

机构：

[1] National Laboratory on Machine Perception, Peking University, Beijing 100871, China

来源：

Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis | 2007年 / 43卷 / 03期

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摘要：

A novel method is proposed to construct 3D shape descriptors by extracting rotation invariants of 3D models. In this method, a 3D model is firstly represented as a collection of spherical functions by using Hadamard transforms, and then the rotation invariants of the spherical functions are extracted by spherical harmonic decomposition. The method can avoid information-loss in the process of representing 3D models by the spherical functions. A shape similarity measure is defined on the extracted rotation invariants. A large amount of experiment results verified that this 3D shape descriptor performs better than some others.

引用

页码：428 / 433