3D polar-radius invariant moments and structure moment invariants

Authors:
Zongmin Li;Yuanzhen Zhang;Kunpeng Hou;Hua Li
Affiliations:
School of Computer Science and Communication Engineering, University of Petroleum, Shandong, P.R. China;School of Computer Science and Communication Engineering, University of Petroleum, Shandong, P.R. China;School of Computer Science and Communication Engineering, University of Petroleum, Shandong, P.R. China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, P.R. China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Year:
2005

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Abstract

A novel moment, called 3D polar-radius-invariant-moment, is proposed for the 3D object recognition and classification. Some properties of these new moments including the invariance on translation, scale and rotation transforms are studied and proved. Then structure moment invariants are given to distinguish complicated similar shapes. 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.