Cumulative object categorization in clutter

Marton, Zoltan-Csaba and Balint-Benczedi, Ferenc and Martinez Mozos, Oscar and Pangercic, Dejan and Beetz, Michael (2013) Cumulative object categorization in clutter. In: Robotics: Science and Systems 2013, 2nd Workshop on Robots in Clutter: Preparing robots for the real world, 27 June, Berlin.

Full content URL: http://workshops.acin.tuwien.ac.at/clutter2013/pap...

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Abstract

In this paper we present an approach based on scene- or part-graphs for geometrically categorizing touching and
occluded objects. We use additive RGBD feature descriptors and hashing of graph configuration parameters for describing the spatial arrangement of constituent parts. The presented experiments quantify that this method outperforms our earlier part-voting and sliding window classification. We evaluated our approach on cluttered scenes, and by using a 3D dataset containing over 15000 Kinect scans of over 100 objects which were grouped into general geometric categories. Additionally, color, geometric, and combined features were compared for categorization tasks.

Keywords:3D object categorization
Subjects:G Mathematical and Computer Sciences > G700 Artificial Intelligence
H Engineering > H671 Robotics
G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
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ID Code:11720
Deposited On:21 Aug 2013 15:06

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