High-speed object pose recognition using distinctive 3-D vector pairs

Shuichi Akizuki, Manabu Hashimoto

    研究成果: Article査読

    2 被引用数 (Scopus)

    抄録

    We propose a high-speed 3-D object pose recognition method. The method's main feature is that a set of distinctive 3-D vector pairs, each of which consists of three different 3-D points, is used for matching process. A vector pair with a low occurrence probability of a model object means that it is distinctive not only in a model but also in an acquired image. Therefore, such vector pairs are expected to avoid false matching. Experimental results have shown that the proposed method is about 60 times faster and increases the recognition success rate from 62.0% to 94.6% in comparison with the Spin Image method.

    本文言語English
    ページ(範囲)1853-1854
    ページ数2
    ジャーナルIEEJ Transactions on Electronics, Information and Systems
    133
    9
    DOI
    出版ステータスPublished - 2013

    ASJC Scopus subject areas

    • 電子工学および電気工学

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