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Proceedings Paper

Range image segmentation based on function approximation
Author(s): G. Maître; H. Hügli; F. Tièche; J. P. Amann
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Paper Abstract

This paper considers the segmentation of range image measurements into surface patches which are either plane or curved and which are described formally by a function. After a formal description of the segmentation, we present and compare three methods suited for plane and curved patch segmentation and show the results of experiments conducted for testing their practical behaviour. The two first methods use the classical approach of region growing whereas the third method is based on a relaxation process. This original and last method exhibits simplicity and low computational complexity. Thanks to its parallel nature, it can be considered as a good candidate for range image segmentation in real-time applications.

Paper Details

Date Published: 1 August 1990
PDF: 8 pages
Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 139510 (1 August 1990); doi: 10.1117/12.2294279
Show Author Affiliations
G. Maître, Univ. of Neuchâtel (Switzerland)
H. Hügli, Univ. of Neuchâtel (Switzerland)
F. Tièche, Univ. of Neuchâtel (Switzerland)
J. P. Amann, Univ. of Neuchâtel (Switzerland)

Published in SPIE Proceedings Vol. 1395:
Close-Range Photogrammetry Meets Machine Vision
Armin Gruen; Emmanuel P. Baltsavias, Editor(s)

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