• DocumentCode
    2711601
  • Title

    Scene warping: Layer-based stereoscopic image resizing

  • Author

    Lee, Ken-Yi ; Chung, Cheng-Da ; Chuang, Yung-Yu

  • Author_Institution
    Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2012
  • fDate
    16-21 June 2012
  • Firstpage
    49
  • Lastpage
    56
  • Abstract
    This paper proposes scene warping, a layer-based stereoscopic image resizing method using image warping. The proposed method decomposes the input stereoscopic image pair into layers according to the depth and color information. A quad mesh is placed onto each layer to guide the image warping for resizing. The warped layers are composited by their depth orders to synthesize the resized stereoscopic image. We formulate an energy function to guide the warping for each layer so that the composited image avoids distortions and holes, maintains good stereoscopic properties and contains as many important pixels as possible in the reduced image space. The proposed method offers the advantages of less discontinuous artifacts, less-distorted objects, correct depth ordering and enhanced stereoscopic quality. Experiments show that our method compares favorably with existing methods.
  • Keywords
    image colour analysis; image enhancement; stereo image processing; color information; depth ordering; discontinuous artifact; energy function; image warping; layer-based stereoscopic image resizing; less-distorted object; quad mesh; scene warping; stereoscopic image pair decomposition; stereoscopic quality enhancement; Energy measurement; Image color analysis; Image edge detection; Image quality; Object segmentation; Optimization; Stereo image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on
  • Conference_Location
    Providence, RI
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4673-1226-4
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2012.6247657
  • Filename
    6247657