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2007

A 3D Shape Descriptor Based on Hadamard Transform and Spherical Harmonic Transform

9 years 8 months ago
A 3D Shape Descriptor Based on Hadamard Transform and Spherical Harmonic Transform
Shape matching plays an important role in many application fields. In this paper, we propose a novel rotation invariant 3D shape descriptor based on Hadamard transform and spherical harmonic transform. In our method, a 3D model is represented as a collection of spherical functions to preserve shape information as much as possible, and the shape similarity is directly defined by the difference of the character functions of 3D models. Retrieval experiments show that our method performs better than many other existing 3D matching methods based on spherical harmonics.
Guyu Xin, Hongbin Zha
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2007
Where MVA
Authors Guyu Xin, Hongbin Zha
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