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

doi:10.2493/jjspe.81.944

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

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	944-950
Number of pages	7
Journal	Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering
Volume	81
Issue number	10
DOIs	https://doi.org/10.2493/jjspe.81.944
Publication status	Published - 2015 Oct

Keywords

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

ASJC Scopus subject areas

Mechanical Engineering

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3-D object detection based-on features of local concavo-convex structure by coded multi flash imaging. / Sakuramoto, Yasunori; Kanematsu, Yuichi; Ohno, Hiroki; Akizuki, Shuichi; Hashimoto, Manabu; Watanabe, Kiyotaka; Seki, Makito.

In: Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering, Vol. 81, No. 10, 10.2015, p. 944-950.

Research output: Contribution to journal › Article › peer-review

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