@inproceedings{Luo:2006:NEL,
opteditor = {},
optpostscript = {},
optorganization = {},
author = {Yuan Luo and Marina L. Gavrilova and Costa Sousa, Mario},
optkey = {},
optannote = {},
optseries = {},
address = IEEEAdr,
localfile = {papers/Luo.2006.NEL.pdf},
optisbn = {},
publisher = IEEEPub,
optkeywords = {},
doi = {http://dx.doi.org/10.1109/CGIV.2006.66},
optmonth = {},
optciteseer = {},
opturl = {},
optcrossref = {},
optwww = {},
booktitle = {Proceedings of the International Conference on Computer Graphics,
Imaging and Visualisation (CGIV 2006, July 26--28, 2006, Sydney,
Australia)},
optvolume = {},
optnumber = {},
abstract = {This paper presents a new method for generating nonphotorealistic
(NPR) facial expression animations. The method consists of two
main processing parts. First, a particular NPR style portrait is
created from a frontal facial photograph. Facial expressive
details, like: expressive wrinkles,fine creases, even freckles,
can be included in the synthesized portrait, which makes it more
expressive. Second, with two different facial expression
portraits, a metamorphing algorithm using distance transform is
utilized to produce the 2D animation. Our morphing process is
fully automated, no control point or any manual work is required.
Finally, a continuous facial expression animation is produced. The
resulted animation is useful in a number of potential
applications, ranging from entertainment and education to
teleconferencing and psychology research.},
title = {{NPAR} by {E}xample: {L}ine {D}rawing {F}acial {A}nimation from
{P}hotographs},
year = {2006},
pages = {514--521},
}
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