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

Shuichi Akizuki, Manabu Hashimoto

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)


    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.

    Original languageEnglish
    Pages (from-to)1853-1854
    Number of pages2
    JournalIEEJ Transactions on Electronics, Information and Systems
    Issue number9
    Publication statusPublished - 2013


    • 3-D object recognition
    • 3-D vector pair
    • Occurrence probability
    • Range image

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering


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