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Authors: Christiano Couto Gava ; Alain Pagani ; Bernd Krolla and Didier Stricker

Affiliation: German Research Center for Artificial Intelligence, Germany

Keyword(s): Robust Guided Matching, Feature Detection, Spherical Imaging, 3D Reconstruction, Multi-view Stereo.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Camera Networks and Vision ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Software Engineering ; Stereo Vision and Structure from Motion

Abstract: We present a novel, robust guided matching technique. Given a set of calibrated spherical images along with the associated sparse 3D point cloud, our approach consistently finds matches across the images in a multilayer feature detection framework. New feature matches are used to refine existing 3D points or to add reliable ones to the point cloud, therefore improving scene representation. We use real indoor and outdoor scenarios to validate the robustness of the proposed approach. Moreover, we perform a quantitative evaluation of our technique to demonstrate its effectiveness.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Gava, C.; Pagani, A.; Krolla, B. and Stricker, D. (2013). Robust Guided Matching and Multi-layer Feature Detection Applied to High Resolution Spherical Images. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP; ISBN 978-989-8565-48-8; ISSN 2184-4321, SciTePress, pages 322-327. DOI: 10.5220/0004300603220327

@conference{visapp13,
author={Christiano Couto Gava. and Alain Pagani. and Bernd Krolla. and Didier Stricker.},
title={Robust Guided Matching and Multi-layer Feature Detection Applied to High Resolution Spherical Images},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP},
year={2013},
pages={322-327},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004300603220327},
isbn={978-989-8565-48-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP
TI - Robust Guided Matching and Multi-layer Feature Detection Applied to High Resolution Spherical Images
SN - 978-989-8565-48-8
IS - 2184-4321
AU - Gava, C.
AU - Pagani, A.
AU - Krolla, B.
AU - Stricker, D.
PY - 2013
SP - 322
EP - 327
DO - 10.5220/0004300603220327
PB - SciTePress