3D PolarRadiusInvariantMoments and Their Application to 3D Model Retrieval
LI ZongMin1,2,3,YU GuangBin1, LIU YuJie1,2,3, LI Hua2
1.School of Computer Science and Communication Engineering, China University of Petroleum, Dongying 257061 2.The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080 3.Graduate School, Chinese Academy of Sciences, Beijing 100039
Abstract A novel moment, 3D polarradiusinvariantmoment, is proposed for the 3D object recognition and classification. Some properties of the new moments including the invariance on shift, rotation and scale transforms are studied and proved. Eighteen moment invariants are derived and tested. Examples are presented to illustrate the performance and invariance of these moments. With the help of these moment invariants, the 3D models are distinguished accurately.
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2006, Vol. 19 
