Range image segmentation based on function approximation

G. Maître; H. Hügli; F. Tièche; J. P. Amann

doi:10.1117/12.2294279

1 August 1990 Range image segmentation based on function approximation

G. Maître, H. Hügli, F. Tièche, J. P. Amann

Proceedings Volume 1395, Close-Range Photogrammetry Meets Machine Vision; 139510 (1990) https://doi.org/10.1117/12.2294279
Event: Close-Range Photogrammetry Meets Machine Vision, 1990, Zurich, Switzerland

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.

Citation Download Citation

G. Maître, H. Hügli, F. Tièche, and J. P. Amann "Range image segmentation based on function approximation", Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 139510 (1 August 1990); https://doi.org/10.1117/12.2294279

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