Title :
A theory of phase-sensitive rotation invariance with spherical harmonic and moment-based representations
Author :
Kakarala, Ramakrishna ; Mao, Dansheng
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
This paper describes how phase-sensitive rotation invariants for three-dimensional data may be obtained. A “bispectrum” is formulated for rotations, and its properties are derived for spherical harmonic coefficients as well as for moments. The bispectral invariants offer improved discrimination over previously published magnitude-only invariants. They are able to distinguish rotations from reflections, as well as rotations of an entire shape from component-wise rotations of elements of the shape. As experiments show, they provide robust performance for both surface and voxel data.
Keywords :
computational geometry; bispectrum; moment based representations; phase sensitive rotation invariance; spherical harmonic coefficients; spherical harmonic representations; voxel data; Data engineering; Equations; Fourier transforms; Frequency domain analysis; Kernel; Pattern recognition; Reflection; Robustness; Shape; Signal processing algorithms;
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-6984-0
DOI :
10.1109/CVPR.2010.5540222