At last document, we described new method to describe the shape of polyhedral surface by using Spherical Moment Functions (S.M.F.) for the purpose of similarity retrieval. In this document, we describe two techniques to improve accuracy of S.M.F in similarity retrieval.
There were two major problems when we describe polyhedral data by using S.M.F. Firstly, the accuracy of comparisons are irregular, since sampling points on the polyhedral surfaces were not uniform. Secondary, S.M.F. blends all the sampling points, which are in the same direction seen from the center of polyhedral surface.
We introduced two techniques namely a normalization of sampling points and a quasi-solid description method to a S.M.F. procedure and improved the accuracy of similarity retrieval. At the experiments, an efficiency of our improvement is shown comparing original S.M.F and improved S.M.F.
By: Takaaki Murao
Published in: RT0335 in 2002
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