skip to main content
10.1145/2393347.2396299acmconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
poster

Texture optimization for seamless view synthesis through energy minimization

Authors Info & Claims
Published:29 October 2012Publication History

ABSTRACT

In this paper, we present a view synthesis method named Visto which aims to generate seamless novel views from a monocular view input. We formulate the problem as joint optimization of inter-view texture similarity and geometry preservation, which significantly differs from traditional view synthesis framework. In this way, the image characteristics of virtual view are inherently inherited from the reference view without introducing any image prior or texture modeling technique. The energy function is minimized using Gauss-Seidel-like approach, and the quality of the virtual view is refined iteratively. The proposed approach also tolerates small depth map errors. Further more, the algorithm is parallel friendly. The simulation results outperform several existing state-of-the-art monocular view synthesis systems.

References

  1. S. Chen and L. Williams. View interpolation for image synthesis. In SIGGRAPH '93, pages 279--288. ACM, 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. A. Criminisi and A. Blake. The SPS algorithm: Patching figural continuity and transparency by split-patch search. In CVPR'04, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  3. I. Daribo and B. Pesquet-Popescu. Depth-aided image inpainting for novel view synthesis. In MMSP'10, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  4. C. Fehn. Depth-image-based rendering (DIBR), compression, and transmission for a new approach on 3D-TV. In Proc. SPIE, pages 93--104, 2004.Google ScholarGoogle Scholar
  5. J. Gautier, O. Le Meur, and C. Guillemot. Depth-based image completion for view synthesis. In 3DTV-CON'11. IEEE, 2011.Google ScholarGoogle Scholar
  6. S. W. Hasinoff, S. B. Kang, and R. Szeliski. Boundary matting for view synthesis. Computer Vision and Image Understanding, 103(1):22--32, July 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. ISO/IECJTC1/SC29/WG11. Reference softwares for depth estimation and view synthesis. Doc. M15377, April 2008.Google ScholarGoogle Scholar
  8. L. Mcmillan and G. Bishop. Plenoptic modeling: An image-based rendering system. In SIGGRAPH'95. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. K.-J. Oh, S. Yea, and Y.-S. Ho. Hole filling method using depth based in-painting for view synthesis in free viewpoint television and 3-d video. In PCS'09, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. H.-Y. Shum and S. B. Kang. A Review of image-based rendering techniques. In Proc. SPIE, 2000.Google ScholarGoogle ScholarCross RefCross Ref
  11. W. Sun, O. C. Au, L. Xu, S. H. Chui, C. W. Kwok, and Y. Li. Error Compensation and Reliability Based View Synthesis. In ICASSP'11, 2011.Google ScholarGoogle Scholar
  12. C. L. Zitnick, S. B. Kang, M. Uyttendaele, S. Winder, and R. Szeliski. High-quality video view interpolation using a layered representation. In ACM TOG, volume 23, pages 600--608. ACM, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Texture optimization for seamless view synthesis through energy minimization

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      MM '12: Proceedings of the 20th ACM international conference on Multimedia
      October 2012
      1584 pages
      ISBN:9781450310895
      DOI:10.1145/2393347

      Copyright © 2012 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 29 October 2012

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • poster

      Acceptance Rates

      Overall Acceptance Rate995of4,171submissions,24%

      Upcoming Conference

      MM '24
      MM '24: The 32nd ACM International Conference on Multimedia
      October 28 - November 1, 2024
      Melbourne , VIC , Australia

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader