Graph-based perceptual segmentation of stereo vision 3D images at multiple abstraction levels

Authors:
Rodrigo Moreno;Miguel Angel Garcia;Domenec Puig
Affiliations:
Intelligent Robotics and Computer Vision Group, Department of Computer Science and Mathematics, Rovira i Virgili University, Tarragona, Spain;Department of Informatics Engineering, Autonomous University of Madrid, Madrid, Spain;Intelligent Robotics and Computer Vision Group, Department of Computer Science and Mathematics, Rovira i Virgili University, Tarragona, Spain
Venue:
GbRPR'07 Proceedings of the 6th IAPR-TC-15 international conference on Graph-based representations in pattern recognition
Year:
2007

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Abstract

This paper presents a new technique based on perceptual information for the robust segmentation of noisy 3D scenes acquired by stereo vision. A low-pass geometric filter is first applied to the given cloud of 3D points to remove noise. The tensor voting algorithm is then applied in order to extract perceptual geometric information. Finally, a graph-based segmenter is utilized for extracting the different geometric structures present in the scene through a region-growing procedure that is applied hierarchically. The proposed algorithm is evaluated on real 3D scenes acquired with a trinocular camera.