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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationVISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings
EditorsJose Braz, Sebastiano Battiato, Francisco Imai
PublisherSciTePress
Pages260-264
Number of pages5
ISBN (Electronic)9789897580901
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event10th International Conference on Computer Vision Theory and Applications, VISAPP 2015 - Berlin, Germany
Duration: 2015 Mar 112015 Mar 14

Publication series

NameVISAPP 2015 - 10th International Conference on Computer Vision Theory and Applications; VISIGRAPP, Proceedings
Volume2

Other

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

Keywords

  • Binarized gradient features
  • Binary code
  • Image matching
  • Object detection
  • Texture-less

ASJC Scopus subject areas

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

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