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Authors: Séverine Cloix 1 ; Thierry Pun 2 and David Hasler 3

Affiliations: 1 CSEM SA and University of Geneva, Switzerland ; 2 University of Geneva, Switzerland ; 3 CSEM SA, Switzerland

ISBN: 978-989-758-175-5

ISSN: 2184-4321

Keyword(s): Object Recognition, Object Classification, Light Field, Plenoptic Function, Scale Invariance, Real-time, Dataset.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis

Abstract: We present a novel light field dataset along with a real-time and scale-invariant object recognition system. Our method is based on bag-of-visual-words and codebook approaches. Its evaluation was carried out on a subset of our dataset of unconventional images. We show that the low variance in scale inferred from the specificities of a plenoptic camera allows high recognition performance. With one training image per object to recognise, recognition rates greater than 90 % are demonstrated despite a scale variation of up to 178 %. Our versatile light-field image dataset, CSEM-25, is composed of five classes of five instances captured with the recent industrial Raytrix R5 camera at different distances with several poses and backgrounds. We make it available for research purposes.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Cloix, S.; Pun, T. and Hasler, D. (2016). Real-time Scale-invariant Object Recognition from Light Field Imaging. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5 ISSN 2184-4321, pages 336-344. DOI: 10.5220/0005678603360344

@conference{visapp16,
author={Séverine Cloix. and Thierry Pun. and David Hasler.},
title={Real-time Scale-invariant Object Recognition from Light Field Imaging},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={336-344},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005678603360344},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)
TI - Real-time Scale-invariant Object Recognition from Light Field Imaging
SN - 978-989-758-175-5
IS - 2184-4321
AU - Cloix, S.
AU - Pun, T.
AU - Hasler, D.
PY - 2016
SP - 336
EP - 344
DO - 10.5220/0005678603360344

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