In this paper we present a novel algorithm for very fast segmentation of range images into both planar and curved surface patches. In contrast to other known segmentation methods our approach makes use of high-level features (curve segments) as segmentation primitives instead of individual pixels. This way the amount of data can be significantly reduced and a very fast segmentation algorithm is obtained. The proposed algorithm has been tested on a large number of real range images and demonstrated good results. With an optimized implementation our method has the potential to operate in quasi real-time (a few range images per second).
Fast range image segmentation using high-level segmentation primitives
1996-01-01
629980 byte
Conference paper
Electronic Resource
English
Fast Range Image Segmentation Using High-Level Segmentation Primitives
British Library Conference Proceedings | 1996
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