@inproceedings{Shugrina:2006:EPI,
optpostscript = {},
optorganization = {},
author = {Maria Shugrina and Margrit Betke and John Collomosse},
optkey = {},
optannote = {},
optseries = {},
editor = {Doug DeCarlo and Lee Markosian},
address = {New York},
localfile = {papers/Shugrina.2006.EPI.pdf},
optisbn = {},
publisher = {ACM Press},
optkeywords = {},
doi = {http://doi.acm.org/10.1145/1124728.1124744},
optmonth = {},
optciteseer = {},
opturl = {},
optcrossref = {},
optwww = {},
booktitle = NPAR2006,
optvolume = {},
optnumber = {},
abstract = {We present the ``empathic painting''---an interactive painterly
rendering whose appearance adapts in real time to reflect the
perceived emotional state of the viewer. The empathic painting is
an experiment into the feasibility of using high level control
parameters (namely, emotional state) to replace the plethora of
low-level constraints users must typically set to affect the
output of artistic rendering algorithms. We describe a suite of
Computer Vision algorithms capable of recognising users' facial
expressions through the detection of facial action units derived
from the FACS scheme. Action units are mapped to vectors within a
continuous 2D space representing emotional state, from which we in
turn derive a continuous mapping to the style parameters of a
simple but fast segmentation-based painterly rendering algorithm.
The result is a digital canvas capable of smoothly varying its
painterly style at approximately 4 frames per second, providing a
novel user interactive experience using only commodity hardware.},
title = {{E}mpathic {P}ainting: {I}nteractive {S}tylization {T}hrough
{O}bserved {E}motional {S}tate},
year = {2006},
pages = {87--96},
}
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