@inproceedings{Snavely:2006:S2V,
optpostscript = {},
optorganization = {},
author = {Noah Snavely and Zitnick, C. Lawrence and Sing Bing Kang and Michael
Cohen},
optkey = {},
optannote = {},
optseries = {},
editor = {Doug DeCarlo and Lee Markosian},
address = {New York},
localfile = {papers/Snavely.2006.S2V.pdf},
optisbn = {},
publisher = {ACM Press},
optkeywords = {},
doi = {http://doi.acm.org/10.1145/1124728.1124739},
optmonth = {},
optciteseer = {},
opturl = {},
optcrossref = {},
optwww = {},
booktitle = NPAR2006,
optvolume = {},
optnumber = {},
abstract = {In recent years considerable interest has been given to
non-photorealistic rendering of photographs, video, and 3D models
for illustrative or artistic purposes. Conventional 2D inputs such
as photographs and video are easy to create and capture, while 3D
models allow for a wider variety of stylization techniques, such
as cross-hatching. In this paper, we propose using video with
depth information (2.5-D video) to combine the advantages of 2D
and 3D input. 2.5-D video is becoming increasingly easy to
capture, and with the additional depth information, stylization
techniques that require shape information can be applied. However,
because 2.5-D video contains only limited shape information and 3D
correspondence over time is unknown, it is difficult to create
temporally coherent stylized animations directly from raw 2.5-D
video. In this paper, we present techniques for processing 2.5-D
video to overcome these drawbacks, and demonstrate several styles
that can be created using these techniques.},
title = {{S}tylizing {2.5-D} {V}ideo},
year = {2006},
pages = {63--69},
}
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