Conformal Method for Quantitative Shape Extraction: Performance Evaluation

Authors:
George Kamberov;Gerda Kamberova
Affiliations:
Stevens Institute of Technology, Hoboken, NJ;Hofstra University, Hempstead, NY
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Year:
2004

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Abstract

We evaluate our recently developed conformal method for quantitative shape extraction from unorganized 3D oriented point clouds. The conformal method has been tested previously on real, noisy, 3D data. Here we focus on the empirical evaluation of its performance on synthetic, ground truth data, and comparisons with other methods for quantitative extraction of mean and Gauss curvatures presented in the literature.