@inproceedings{VanHaevre:2005:UCT,
opteditor = {},
optpostscript = {},
optorganization = {},
author = {Van Haevre, William and Fabian Di Fiore and Frank Van Reeth},
optkey = {},
optannote = {},
optseries = {},
address = {New York},
localfile = {papers/VanHaevre.2005.UCT.pdf},
optisbn = {},
publisher = {ACM Press},
optkeywords = {},
doi = {http://doi.acm.org/10.1145/1101389.1101437},
optmonth = {},
optciteseer = {},
opturl = {},
optcrossref = {},
optwww = {},
booktitle = {Proceedings of the 3\textsuperscript{rd} International Conference
on Computer Graphics and Interactive Techniques in Australasia
and South East Asia (GRAPHITE'05, Dunedin, New Zealand)},
optvolume = {},
optnumber = {},
abstract = {We present a novel method to create perpetual animations from a
small set of given keyframes. Existing approaches either are
limited to re-sequencing large amounts of existing image/video
data, or to interpolating vector based drawings.Our approach
benefits from several ideas and techniques from video textures,
computer-assisted animation and motion graphs. It combines the
re-sequencing of existing material with the automatic generation
of new data. Furthermore, the animator can interfere with the
animation process at each arbitrary moment.First, a given set of
keyframes is used to automatically generate a set of in-betweens.
The amount of in-betweens required, depends on a distance metric
preventing possible visual discontinuities. Next, an optimised
cost graph is derived from the generated frames, indicating for
all keyframes how many steps are required to travel from one
keyframe to another. Finally, by rearranging the generated sets of
in-betweens according to the cost graph, new animations can be
synthesised from the generated data.The resulting animations are
smooth, broader than the input data and require no
postprocessing.},
title = {{U}niting {C}artoon {T}extures with {C}omputer {A}ssisted
{A}nimation},
year = {2005},
pages = {245--253},
}
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