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Proceedings Paper

Fast extraction of planar surfaces from range images
Author(s): Xiaoyi Jiang; Horst Bunke
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Paper Abstract

In this paper we present a novel technique for rapidly partitioning surfaces in range images into planar patches. Essential for our segmentation method is the observation that in a scan line the points belonging to a planar surface form a straight line segment. Based on this observation, we first divide each scan line into straight line segments and subsequently consider only the set of line segments of all scan lines as segmentation primitives. The principle of our segmentation method is region growing in terms of line segments. We use a noise variance estimation to automatically set thresholds so that the algorithm can adapt to the noise conditions of different range images. The proposed algorithm has been tested on a large number of real range images acquired by two different range sensors. Experimental results show that the proposed algorithm is fast and robust.

Paper Details

Date Published: 11 March 1993
PDF: 11 pages
Proc. SPIE 1964, Applications of Artificial Intelligence 1993: Machine Vision and Robotics, (11 March 1993); doi: 10.1117/12.141769
Show Author Affiliations
Xiaoyi Jiang, Univ. Bern (Switzerland)
Horst Bunke, Univ. Bern (Switzerland)

Published in SPIE Proceedings Vol. 1964:
Applications of Artificial Intelligence 1993: Machine Vision and Robotics
Kim L. Boyer; Louise Stark, Editor(s)

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