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 journalArticlepeer-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 languageEnglish
    Pages (from-to)944-950
    Number of pages7
    JournalSeimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering
    Volume81
    Issue number10
    DOIs
    Publication statusPublished - 2015 Oct

    Keywords

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

    ASJC Scopus subject areas

    • Mechanical Engineering

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