• DocumentCode
    590820
  • Title

    Combining multi-view stereo and super resolution in a unified framework

  • Author

    Haesol Park ; Kyoung Mu Lee ; Sang Uk Lee

  • Author_Institution
    Seoul Nat. Univ., Seoul, South Korea
  • fYear
    2012
  • fDate
    3-6 Dec. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In multi-view stereo setting, pixel correspondence problem and super resolution problem are inter-related in a sense that the result of each problem could help to solve the other. In this paper, we propose a novel method to solve two problems together by optimizing a unified energy functional. Main difference from the previous works is that the consistency between high resolution images is considered along with consideration to the consistency of high-resolution and low-resolution image pair with the same viewpoint. Experimental results show that our method outperforms the naive combination of single image super resolution and multi-view stereo method.
  • Keywords
    image resolution; optimisation; stereo image processing; image super resolution problem; multiview stereo image processing; optimization; pixel correspondence problem; unified energy functional; Computer vision; Energy resolution; Image reconstruction; Image resolution; Interpolation; Optimization; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012 Asia-Pacific
  • Conference_Location
    Hollywood, CA
  • Print_ISBN
    978-1-4673-4863-8
  • Type

    conf

  • Filename
    6411967