Reliable image matching using binarized gradient features obtained with multi-flash camera

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

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルVISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings
出版社SciTePress
ページ260-264
ページ数5
2
ISBN(電子版)9789897580901
出版ステータスPublished - 2015
外部発表はい
イベント10th International Conference on Computer Vision Theory and Applications, VISAPP 2015 - Berlin, Germany
継続期間: 2015 3 112015 3 14

Other

Other10th International Conference on Computer Vision Theory and Applications, VISAPP 2015
CountryGermany
CityBerlin
Period15/3/1115/3/14

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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