Pose alignment for different objects using affordance cues

Shuichi Akizuki, Yoshimitsu Aoki

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    In this paper, we propose a method to estimate 6D pose (3D position and pose) of the everyday objects, especially 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
    Title of host publication2018 International Workshop on Advanced Image Technology, IWAIT 2018
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1-3
    Number of pages3
    ISBN (Electronic)9781538626153
    DOIs
    Publication statusPublished - 2018 May 30
    Event2018 International Workshop on Advanced Image Technology, IWAIT 2018 - Chiang Mai, Thailand
    Duration: 2018 Jan 72018 Jan 9

    Other

    Other2018 International Workshop on Advanced Image Technology, IWAIT 2018
    CountryThailand
    CityChiang Mai
    Period18/1/718/1/9

    Keywords

    • Affordance
    • Point Clouds
    • Pose alignment

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Computer Vision and Pattern Recognition
    • Media Technology

    Cite this

    Akizuki, S., & Aoki, Y. (2018). Pose alignment for different objects using affordance cues. In 2018 International Workshop on Advanced Image Technology, IWAIT 2018 (pp. 1-3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWAIT.2018.8369759