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.
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Li, Z., Zhang, Y., Hou, K., Li, H. (2005). 3D Polar-Radius Invariant Moments and Structure Moment Invariants. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539117_70
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DOI: https://doi.org/10.1007/11539117_70
Publisher Name: Springer, Berlin, Heidelberg
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