Search and Retrieval using Krawtchouk Moments

In this paper a combination of a rotation invariant method with a method which utilizes rotation normalization is proposed. Both methods used are based on 2D/3D Krawtchouk moments. The first method is an extension of that which was originally introduced in [1] and utilizes 2D Krawtchouk moments while the second method was originally introduced in [2] and utilizes 3D Krawtchouk moments.1

[1]  Ming-Kuei Hu,et al.  Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.

[2]  M. Teague.  Image analysis via the general theory of moments , 1980 .

[3]  Karthik Ramani,et al.  An Approach to Drawing-Like View Generation From 3D Models , 2005 .

[4]  Michael G. Strintzis,et al.  3D model search and retrieval based on the spherical trace transform , 2004, IEEE 6th Workshop on Multimedia Signal Processing, 2004..

[5]  Michael G. Strintzis,et al.  3D Content-Based Search Based on 3D Krawtchouk Moments , 2006, Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06).