• DocumentCode
    639356
  • Title

    Recovering Stereo Pairs from Anaglyphs

  • Author

    Joulin, Armand ; Sing Bing Kang

  • fYear
    2013
  • fDate
    23-28 June 2013
  • Firstpage
    289
  • Lastpage
    296
  • Abstract
    An anaglyph is a single image created by selecting complementary colors from a stereo color pair, the user can perceive depth by viewing it through color-filtered glasses. We propose a technique to reconstruct the original color stereo pair given such an anaglyph. We modified SIFT-Flow and use it to initially match the different color channels across the two views. Our technique then iteratively refines the matches, selects the good matches (which defines the "anchor" colors), and propagates the anchor colors. We use a diffusion-based technique for the color propagation, and added a step to suppress unwanted colors. Results on a variety of inputs demonstrate the robustness of our technique. We also extended our method to anaglyph videos by using optic flow between time frames.
  • Keywords
    image colour analysis; image matching; image motion analysis; image reconstruction; stereo image processing; SIFT-flow; anaglyph videos; anchor color propagation; color-filtered glasses; complementary colors selection; diffusion-based technique; optic flow; original color stereo pair reconstruction; stereo pair recovery; unwanted color suppression; Cameras; Colored noise; Image color analysis; Image reconstruction; Optical imaging; Stereo image processing; 3D; anaglyph; image reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
  • Conference_Location
    Portland, OR
  • ISSN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2013.44
  • Filename
    6618888