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[SBM+05]  Image-Based Stereoscopic Stylization

Stavrakis:2005:IBS (In proceedings)
Author(s)Stavrakis E., Bleyer M., Markovic D. and Gelautz M.
Title« Image-Based Stereoscopic Stylization »
InProceedings of the IEEE International Conference on Image Processing (Genova, Italy, September, 2005)
Volume3
Page(s)5--8
Year2005
PublisherIEEE Computer Society
AddressLos Alamitos, CA
URLhttp://www.ims.tuwien.ac.at/publication_detail.php?ims_id=185

Abstract
We present a method to generate stylized stereo imagery that effectively communicates shape and distance of the depicted scene objects. We use computer vision techniques to analyze real stereo image pairs. In particular, a region based stereo matching algorithm with symmetrical treatment of occlusions is used to extract a disparity map and successively the depth information of the scene. The reference image is color segmented for the purpose of color stylization and an algorithm combining intensity image edges and depth discontinuities is applied to depict dominant object contours in the image. We use disparity information to propagate stylized color segments to the second view together with the object outlining contours. The stylized image pairs are consistent across the two views and can be easily fused for stereoscopic viewing. The stereoscopic image fusion provides an extra dimension of depth that is absent on the individual images.

BibTeX code
@inproceedings{Stavrakis:2005:IBS,
  opteditor = {},
  optpostscript = {},
  www = {http://doi.ieeecomputersociety.org/10.1109/ICIP.2005.1530314},
  optorganization = {},
  author = {Efstathios Stavrakis and Michael Bleyer and Danijela Markovic and
            Margrit Gelautz},
  optkey = {},
  optannote = {},
  optseries = {},
  url = {http://www.ims.tuwien.ac.at/publication_detail.php?ims_id=185},
  address = IEEEAdr,
  localfile = {papers/Stavrakis.2005.IBS.pdf},
  optisbn = {},
  publisher = IEEEPub,
  optkeywords = {},
  doi = {http://dx.doi.org/10.1109/ICIP.2005.1530314},
  optmonth = {},
  optciteseer = {},
  volume = {3},
  optcrossref = {},
  booktitle = {Proceedings of the IEEE International Conference on Image
               Processing (Genova, Italy, September, 2005)},
  optnumber = {},
  abstract = {We present a method to generate stylized stereo imagery that
              effectively communicates shape and distance of the depicted scene
              objects. We use computer vision techniques to analyze real stereo
              image pairs. In particular, a region based stereo matching
              algorithm with symmetrical treatment of occlusions is used to
              extract a disparity map and successively the depth information of
              the scene. The reference image is color segmented for the purpose
              of color stylization and an algorithm combining intensity image
              edges and depth discontinuities is applied to depict dominant
              object contours in the image. We use disparity information to
              propagate stylized color segments to the second view together with
              the object outlining contours. The stylized image pairs are
              consistent across the two views and can be easily fused for
              stereoscopic viewing. The stereoscopic image fusion provides an
              extra dimension of depth that is absent on the individual
              images.},
  title = {{I}mage-{B}ased {S}tereoscopic {S}tylization},
  year = {2005},
  pages = {5--8},
}

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