DocumentCode :
598173
Title :
3D (pseudo) Zernike moments: Fast computation via symmetry properties of spherical harmonics and recursive radial polynomials
Author :
Al-Rawi, Mohammed S.
Author_Institution :
IEETA-Inst. de Eng. Electron. e Telematica de Aveiro, Univ. of Aveiro, Aveiro, Portugal
fYear :
2012
fDate :
Sept. 30 2012-Oct. 3 2012
Firstpage :
2353
Lastpage :
2356
Abstract :
Based on pseudo-Zernike radial polynomials and spherical harmonics, we introduce a new form of three-dimensional (3D) moments that we call 3D pseudo-Zernike moments (3DPZMs). Then, using recursive generation of; Zernike radial polynomials, pseudo-Zernike radial polynomials, associated Legendre functions, and introducing a novel method to define 3D points-of-symmetry of spherical harmonics multiplied by the 3D object, we present an algorithm for the fast computation of three-dimensional (3D) Zernike moments (3DZMs) and 3DPZMs. The methods that we propose may play an important role in 3D object analysis and recognition. Asymptotic computational complexity and simulation tests have shown that the proposed symmetry-based algorithm is much faster than the direct (non-symmetry). 3DPZMs not only outperform 3DZMs, but they generate, for the same moment order, twice as much as the number of invariants that 3DZMs generate.
Keywords :
Legendre polynomials; Zernike polynomials; computational complexity; method of moments; object recognition; 3D object analysis; 3D points-of-symmetry; 3D pseudoZernike moments; 3DPZM; Legendre function; asymptotic computational complexity; moment order; object recognition; pseudoZernike radial polynomial; recursive generation; recursive radial polynomial; spherical harmonics; symmetry properties; symmetry-based algorithm; three-dimensional Zernike moments; Algorithm design and analysis; Computational efficiency; Harmonic analysis; Image analysis; Image reconstruction; Polynomials; Shape; 3D Zernike moments; 3D invariants; 3D pseudo-Zernike moments; fast algorithm; symmetry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1522-4880
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2012.6467369
Filename :
6467369
Link To Document :
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