Reliable Image Matching using Binarized Gradient Features Obtained with Multi-flash Camera

Yasunori Sakuramoto, Yuichi Kanematsu, Shuichi Akizuki, Manabu Hashimoto, Kiyotaka Watanabe, Makito Seki

2015

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.

References

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Paper Citation


in Harvard Style

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 - Volume 2: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 260-264. DOI: 10.5220/0005267902600264


in Bibtex Style

@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 - Volume 2: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={260-264},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005267902600264},
isbn={978-989-758-090-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)
TI - Reliable Image Matching using Binarized Gradient Features Obtained with Multi-flash Camera
SN - 978-989-758-090-1
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