Title :
Conformal method for quantitative shape extraction: Performance evaluation
Author :
Kamberov, G. ; Kamberova, G.
Author_Institution :
Dept. of Comput. Sci., Stevens Inst. of Technol., Hoboken, NJ, USA
Abstract :
We evaluate our 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.
Keywords :
computer vision; performance evaluation; Gauss curvature; conformal method; mean curvature; performance evaluation; quantitative shape extraction; unorganized 3D oriented point clouds; Computer graphics; Data mining; Gaussian processes; Noise shaping; Shape; Surface fitting; Three-dimensional displays;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1333698
