3-D object detection based-on features of local concavo-convex structure by coded multi flash imaging

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

研究成果: Article

抜粋

This paper introduces an object detection method using features described information about a concavo-convex shape of an object that are obtained by using a small camera that controls the illumination direction. An image of the binarized gradient feature containing information about the shape of the object is generated by the Coded Multi Flash Imaging. The proposed method can reliably detect a texture-less object by using this feature image in the matching process. In addition, processing time for matching is significantly reduced by using a small number of pixels. Experiments using 200 actual images confirmed that the proposed method achieves a 98.5% recognition success rate and a 607 msec processing time.

元の言語English
ページ(範囲)944-950
ページ数7
ジャーナルSeimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering
81
発行部数10
DOI
出版物ステータスPublished - 2015 10 1
外部発表Yes

ASJC Scopus subject areas

  • Mechanical Engineering

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