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Proceedings Paper

Segmentation Of Range Images Using Simple Differential-Geometric Features
Author(s): Raghu J. Krishnapuram; Anasua Munshi
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Paper Abstract

Although range images are similar to intensity images in some respects, there are some important differences. For example, traditional edge operators used in intensity images can detect occluding (jump) boundaries in range images easily, but they fail to detect most edges within objects. Thus, the features one selects for segmentation of range images have to be somewhat different from those selected for intensity images. In this paper, we introduce a scalar feature based on surface normal information for segmenting range images. This feature is attractive since it converts vector information into scalar information and since it can be computed very easily using existing intensity-image edge operators. Initial results obtained with ERIM range images of blocks are presented.

Paper Details

Date Published: 27 March 1989
PDF: 6 pages
Proc. SPIE 1002, Intelligent Robots and Computer Vision VII, (27 March 1989); doi: 10.1117/12.960320
Show Author Affiliations
Raghu J. Krishnapuram, University of Missouri (United States)
Anasua Munshi, University of Missouri (United States)

Published in SPIE Proceedings Vol. 1002:
Intelligent Robots and Computer Vision VII
David P. Casasent, Editor(s)

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