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Fast Segmentation of Planar Surfaces in Range Images |
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Michal Haindl Pavel Zid |
An algorithm for planar face segmentation in range images.
The segmentation is based on a combination of recursive adaptive regression
model prediction for detecting range image step discontinuities
which are present at object face borders and of a region growing on
surface lines. Border pixels are detected in two perpendicular
directions and detection results are combined together.
Two predictors in each direction use identical
contextual information from the pixel's neighbourhood and they
mutually compete for the most optimal discontinuity detection.
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The structured light (ABW) range image | and the intesity image, respectively. |
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Resulting segmentation. |
Further information can be found in the paper:
ICPR'98![]() |
Haindl, M. Zid, P. Fast Segmentation of Planar Surfaces in Range Images In: Proceedings of the 12th IAPR Int. Conf. on Pattern Recognition, Brisbane 1998, Anil K. Jain, Sveth Venkatesh, Brian C. Lovell Eds., ISBN: 0-8186-8512-3, vol. II, pp. 985 - 987, IEEE Press. |
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