Title :
3D Model Retrieval Based on U System Rotation Invariant Moments
Author :
Zongmin, Li ; Xiuping, Men ; Hua, Li
Abstract :
In this paper, a novel 3D orthogonal polynomial moment based on 3D U system polynomials is proposed, and is used for 3D model retrieval. U system is a kind of complete and orthogonal polynomials system. In this paper, we combine U system with spherical harmonic functions and define a shape descriptor-Usystem rotation invariant moments. The performance of the proposed method is evaluated by constructing precision/recall diagrams. Results clearly demonstrate effectiveness of this new method in the 3D-model retrieval process and superiority over the traditional Zernike moment invariants.
Keywords :
image retrieval; polynomials; solid modelling; 3D U system polynomials; 3D model retrieval; 3D orthogonal polynomial moment; U system rotation invariant moments; shape descriptor; spherical harmonic functions; Content based retrieval; Feature extraction; Image retrieval; Information processing; Information retrieval; Laboratories; Noise robustness; Polynomials; Shape; Solid modeling;
Conference_Titel :
Pervasive Computing and Applications, 2007. ICPCA 2007. 2nd International Conference on
Conference_Location :
Birmingham
Print_ISBN :
978-1-4244-0971-6
Electronic_ISBN :
978-1-4244-0971-6
DOI :
10.1109/ICPCA.2007.4365436