Surface approximation and range image segmentation through robust competitive clustering
Hichem Frigui, Raghu J. Krishnapuram · Proceedings of IEEE 5th International Fuzzy Systems · 2002
Algorithms that perform segmentation and surface approximation of range images need to be robust since real range data tends to be noisy. In this paper, we present a robust clustering algorithm and show how it can be used to obtain an approximation of a range image in terms of quadric surface patches. The proposed algorithm does not assume that the number of surface patches is known a priori, and performs well even when the data set is contaminated by noise and outliers.