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Authors: Yasunori Sakuramoto 1 ; Yuichi Kanematsu 1 ; Shuichi Akizuki 1 ; Manabu Hashimoto 1 ; Kiyotaka Watanabe 2 and Makito Seki 2

Affiliations: 1 Chukyo University, Japan ; 2 Mitsubishi Electric Corporation, Japan

Keyword(s): Object Detection, Binarized Gradient Features, Image Matching, Texture-less, Binary Code.

Related Ontology Subjects/Areas/Topics: Applications ; Pattern Recognition ; Robotics ; Software Engineering

Abstract: In this paper, we propose an object detection method using features describing information about a concavoconvex shape of an object that are obtained by using a small camera that controls the illumination direction. A feature image containing information about the shape of the object is generated by integrating images obtained by turning on, one by one, light emitting diodes (LEDs) annularly arranged around the camera. Our method can reliably detect a texture-less object by using this feature image in the matching process. Experiments using 200 actual images confirmed that the method achieves a 97.5% recognition success rate and a 4.62 sec processing time.

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Paper citation in several formats:
Sakuramoto, Y.; Kanematsu, Y.; Akizuki, S.; Hashimoto, M.; Watanabe, K. and Seki, M. (2015). Reliable Image Matching using Binarized Gradient Features Obtained with Multi-flash Camera. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP; ISBN 978-989-758-090-1; ISSN 2184-4321, SciTePress, pages 260-264. DOI: 10.5220/0005267902600264

@conference{visapp15,
author={Yasunori Sakuramoto. and Yuichi Kanematsu. and Shuichi Akizuki. and Manabu Hashimoto. and Kiyotaka Watanabe. and Makito Seki.},
title={Reliable Image Matching using Binarized Gradient Features Obtained with Multi-flash Camera},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP},
year={2015},
pages={260-264},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005267902600264},
isbn={978-989-758-090-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 3: VISAPP
TI - Reliable Image Matching using Binarized Gradient Features Obtained with Multi-flash Camera
SN - 978-989-758-090-1
IS - 2184-4321
AU - Sakuramoto, Y.
AU - Kanematsu, Y.
AU - Akizuki, S.
AU - Hashimoto, M.
AU - Watanabe, K.
AU - Seki, M.
PY - 2015
SP - 260
EP - 264
DO - 10.5220/0005267902600264
PB - SciTePress

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