Title: On fusion of range and intensity information using Graph-Cut for planar patch segmentation

Authors: Olaf Kahler, Erik Rodner, Joachim Denzler

Addresses: Friedrich-Schiller-University of Jena, Faculty of Mathematics and Computer Science, Chair for Computer Vision, Ernst-Abbe-Platz 2, 07743 Jena, Germany. ' Friedrich-Schiller-University of Jena, Faculty of Mathematics and Computer Science, Chair for Computer Vision, Ernst-Abbe-Platz 2, 07743 Jena, Germany. ' Friedrich-Schiller-University of Jena, Faculty of Mathematics and Computer Science, Chair for Computer Vision, Ernst-Abbe-Platz 2, 07743 Jena, Germany

Abstract: Planar patch detection aims at simplifying data from 3D imaging sensors to a more compact scene description. We propose a fusion of intensity and depth information using Graph-Cut methods for this problem. Different known algorithms are additionally evaluated on low-resolution high-frame rate image sequences and used as an initialisation for the Graph-Cut approach. In experiments, we show a significant improvement of the detected patch boundaries after the refinement with our method.

Keywords: graph cut; planar patches; segmentation; range data; intensity information; sensor fusion; patch boundaries.

DOI: 10.1504/IJISTA.2008.021299

International Journal of Intelligent Systems Technologies and Applications, 2008 Vol.5 No.3/4, pp.365 - 373

Published online: 18 Nov 2008 *

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