6D0F pose estimation for similar objects using spatial relationship of part-affordance

Shuichi Akizuki, Yoshimitsu Aoki

    Research output: Contribution to journalArticle

    Abstract

    In this paper, we propose a method to estimate 6D pose (3D position and pose) of the everyday objects, especially Kitchen or DIY tools, even if there are not the same 3D model of the target object. We assume that the tools that belong to same category have common spatial relation in part-affordances, the role of each part. The proposed method uses this assumption for pose estimation. By minimizing two types of consistencies, the spatial relationship of part-affordances and the shapes, we have confirmed that the proposed method achieved higher performance compared with traditional pose estimation method.

    Original languageEnglish
    Pages (from-to)107-112
    Number of pages6
    JournalSeimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering
    Volume85
    Issue number1
    DOIs
    Publication statusPublished - 2019 Jan 1

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    Keywords

    • 3D object recognition
    • Affordance
    • Point cloud processing
    • Pose estimation

    ASJC Scopus subject areas

    • Mechanical Engineering

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