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Authors: Anders Glent Buch 1 ; Dirk Kraft 1 ; Joni-Kristian Kämäräinen 2 and Norbert Krüger 1

Affiliations: 1 University of Southern Denmark, Denmark ; 2 Tampere University of Technology, Finland

Keyword(s): Pose Estimation, Shape Context Descriptors, Early Cognitive Vision.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Early and Biologically-Inspired Vision ; Image and Video Analysis ; Image Formation and Preprocessing ; Multimodal and Multi-Sensor Models of Image Formation ; Shape Representation and Matching

Abstract: We present a system for detecting the pose of rigid objects using texture and contour information. From a stereo image view of a scene, a sparse hierarchical scene representation is reconstructed using an early cognitive vision system. We define an object model in terms of a simple context descriptor of the contour and texture features to provide a sparse, yet descriptive object representation. Using our descriptors, we do a search in the correspondence space to perform outlier removal and compute the object pose. We perform an extensive evaluation of our approach with stereo images of a variety of real-world objects rendered in a controlled virtual environment. Our experiments show the complementary role of 3D texture and contour information allowing for pose estimation with high robustness and accuracy.

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Paper citation in several formats:
Glent Buch, A.; Kraft, D.; Kämäräinen, J. and Krüger, N. (2013). Pose Estimation using a Hierarchical 3D Representation of Contours and Surfaces. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 105-111. DOI: 10.5220/0004275801050111

@conference{visapp13,
author={Anders {Glent Buch}. and Dirk Kraft. and Joni{-}Kristian Kämäräinen. and Norbert Krüger.},
title={Pose Estimation using a Hierarchical 3D Representation of Contours and Surfaces},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={105-111},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004275801050111},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Pose Estimation using a Hierarchical 3D Representation of Contours and Surfaces
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Glent Buch, A.
AU - Kraft, D.
AU - Kämäräinen, J.
AU - Krüger, N.
PY - 2013
SP - 105
EP - 111
DO - 10.5220/0004275801050111
PB - SciTePress