INCO Copernicus project no. 960174
Range Image Segmentation by Curve Grouping
Michal Haindl     Pavel Zid

A range image segmentation method based on a recursive adaptive regression model prediction for detecting range image step discontinuities which are present at object face borders. Detected face borders guides subsequent region growing step where neighbouring face curves are grouped together. Region growing based on curve segments instead of pixels like in classical approaches significantly speed up the algorithm. Curves to be grown are represented using the cubic spline model. Curves from the same region are required to have similar curvature and slope but they do not need to be of maximal length through the corresponding object face.

The structured light (K2T) range image	and the intesity image, respectively.
Detected edges	and the resulting segmentation.

RAAD'98

Haindl, M. Zid, P. Range Image Segmentation by Curve Grouping In: Proceedings 7th Int. Workshop RAAD'98, K. Dobrovodsky Ed., ISBN: 80-967962-7-5, ASCO Art & Science, Bratislava, pp. 339 - 344, 1998.

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