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

Yoon Sik Tak, Een Jun 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 - International Conferences on Advances in Multimedia
Pages62-67
Number of pages6
Publication statusPublished - 2011 Dec 1
Event3rd International Conferences on Advances in Multimedia, MMEDIA 2011 - Budapest, Hungary
Duration: 2011 Apr 172011 Apr 22

Other

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

Keywords

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

ASJC Scopus subject areas

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

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  • Cite this

    Tak, Y. S., & Hwang, E. J. (2011). 3D object retrieval and pose estimation for a single-view query image in a mobile environment. In MMEDIA - International Conferences on Advances in Multimedia (pp. 62-67)