@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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