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Authors: Marco Filax and Frank Ortmeier

Affiliation: Otto von Guericke University Magdeburg, Germany

ISBN: 978-989-758-290-5

Keyword(s): Pervasive Smart Camera, Object Localization, Projective Distortion, Scene Understanding.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Pervasive Smart Cameras

Abstract: Object detection is one of the fundamental issues in computer vision. The established methods, rely on different feature descriptors to determine correspondences between significant image points. However, they do not provide reliable results, especially for extreme viewpoint changes. This is because feature descriptors do not adhere to the projective distortion introduced with an extreme viewpoint change. Different approaches have been proposed to lower this hurdle, e.g., by randomly sampling multiple virtual viewpoints. However, these methods are either computationally intensive or impose strong assumptions of the environment. In this paper, we propose an algorithm to detect corresponding quasi-planar objects in man-made environments. We make use of the observation that these environments typically contain rectangular structures. We exploit the information gathered from a depth sensor to detect planar regions. With these, we unwrap the projective distortion, by transforming the planar patch into a fronto-parallel view. We demonstrate the feasibility and capabilities of our approach in a real-world scenario: a supermarket. (More)

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Paper citation in several formats:
Filax, M. and Ortmeier, F. (2018). VIOL: Viewpoint Invariant Object Localizator - Viewpoint Invariant Planar Features in Man-Made Environments.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, ISBN 978-989-758-290-5, pages 581-588. DOI: 10.5220/0006624005810588

@conference{visapp18,
author={Marco Filax. and Frank Ortmeier.},
title={VIOL: Viewpoint Invariant Object Localizator - Viewpoint Invariant Planar Features in Man-Made Environments},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP,},
year={2018},
pages={581-588},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006624005810588},
isbn={978-989-758-290-5},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP,
TI - VIOL: Viewpoint Invariant Object Localizator - Viewpoint Invariant Planar Features in Man-Made Environments
SN - 978-989-758-290-5
AU - Filax, M.
AU - Ortmeier, F.
PY - 2018
SP - 581
EP - 588
DO - 10.5220/0006624005810588

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