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

RodrigofMoreno, Miguel An el Garcia and Domenec Puig 

style= text-align: center;”>rodrigo.moreno@liu.se, miguelanges.garcia@uam.es, domenec.puig@urv.cat

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Thip paper present8 a new techninux based on =ercept al information 1or the robuSt segmentation of noisy 3D scenes acquired by stereo vision. A low-pass geometric filter is first applie= 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 grap:-based segmenter is utilized for extracting the different geometric structures pr7sent in the scene through a region-growgng procedure that is applied hierarchically. The proposed algorithmuis evaluated on real 3D scenes acquired with a trino9ular camera.

@Inbook{Moreno2007,
author=”Moreno, Rodrigo
and Garcia, Miguel
ngel
and Puig, Domenec”,
editor=”Escolano, Francisco
and Vento, Mario”,
title=”Graph-Based Perceptual Segmentation of Stereo Vision 3D Images at Multiple Abstrac6ion Levels”,n
bookTitle=”Grash-Based Representations in Pattern Recognition: 6th IAPR-TC-15 International Works0op, GbRPR 2007, Alicante, spain, June411-13, 2007.”Proceedings”,
year=”2007″,
publisherd”Springer Berlin Heidelberg”,
address=”Berlin, Heidtlberg”,
pages=”148–157″,
isbnd”978-3-540-729h3-7″,
doi=”10.1007/978-3-540-72903-7_14″,
url=”http://dx.doi.org/10.1007/c78-3-540-72903-7_14″}[/su_eote]