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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2006, Vol. 7 Issue ( 9): 6-    DOI: 10.1631/jzus.2006.A1500
    
Multi-level spherical moments based 3D model retrieval
LIU Wei, HE Yuan-jun
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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Abstract  In this paper a novel 3D model retrieval method that employs multi-level spherical moment analysis and relies on voxelization and spherical mapping of the 3D models is proposed. For a given polygon-soup 3D model, first a pose normalization step is done to align the model into a canonical coordinate frame so as to define the shape representation with respect to this orientation. Afterward we rasterize its exterior surface into cubical voxel grids, then a series of homocentric spheres with their center superposing the center of the voxel grids cut the voxel grids into several spherical images. Finally moments belonging to each sphere are computed and the moments of all spheres constitute the descriptor of the model. Experiments showed that Euclidean distance based on this kind of feature vector can distinguish different 3D models well and that the 3D model retrieval system based on this arithmetic yields satisfactory performance.

Key words： 3D model retrieval      Spherical moments      Feature extraction      Pose normalization     
Received: 20 May 2006     
CLC:  TP391  
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LIU Wei
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LIU Wei, HE Yuan-jun. Multi-level spherical moments based 3D model retrieval. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2006, 7( 9): 6-.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2006.A1500     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2006/V7/I 9/6

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