3D object retrieval and pose estimation for a single-view query image in a mobile environment

Yoon Sik Tak, Eenjun Hwang

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

    1 Citation (Scopus)

    Abstract

    3D object retrieval and its pose estimation for a single view query image are essential operations in many specialized applications. With the recent deployment of various mobile devices, such operations require near real-time performance. However, most of the existing methods are not appropriate for mobile devices, due to their massive resource requirements. In this paper, we propose new 3D object retrieval and pose estimation schemes that can be used on a client-server platform. In order to accomplish this, we first construct both a sparse and a full index on the shape feature of the objects for the client and the server, respectively. Then, the client (the mobile device) retrieves the candidate camera view images that are similar to the query image by using the sparse index. The server refines the results by using the full index and then computes the exact pose by using the SIFT (Scale Invariant Feature Transform) features. In the experiment, we show that our prototype system based on the proposed scheme can achieve an excellent performance.

    Original languageEnglish
    Title of host publicationMMEDIA 2011 - 3rd International Conferences on Advances in Multimedia
    Pages62-67
    Number of pages6
    Publication statusPublished - 2011
    Event3rd International Conferences on Advances in Multimedia, MMEDIA 2011 - Budapest, Hungary
    Duration: 2011 Apr 172011 Apr 22

    Publication series

    NameMMEDIA - International Conferences on Advances in Multimedia
    ISSN (Print)2308-4448

    Other

    Other3rd International Conferences on Advances in Multimedia, MMEDIA 2011
    Country/TerritoryHungary
    CityBudapest
    Period11/4/1711/4/22

    Keywords

    • 3D object retrieval
    • Distance curve
    • Pose estimation
    • SIFT
    • Shape-based retrieval

    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Computer Vision and Pattern Recognition

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