@inproceedings{Buck:2000:PDH,
optnote = {},
optorganization = {},
author = {Ian Buck and Adam Finkelstein and Charles Jacobs and Allison Klein
and David H. Salesin and Joshua Seims and Richard Szeliski and
Kentauro Toyama},
optkey = {},
optannote = {},
optseries = {},
editor = {Jean-Daniel Fekete and David Salesin},
address = {New York},
localfile = {papers/Buck.2000.PHD.pdf},
publisher = {ACM Press},
doi = {http://doi.acm.org/10.1145/340916.340929},
optmonth = {},
citeseer = {http://citeseer.nj.nec.com/buck00performancedriven.html},
optcrossref = {},
booktitle = NPAR2000,
optstatus = {OK},
optvolume = {},
optnumber = {},
title = {{P}erformance-{D}riven {H}and-{D}rawn {A}nimation},
abstract = {We present a novel method for generating performance-driven,
"hand-drawn" animation in real-time. Given an annotated set of
hand-drawn faces for various expressions, our algorithm performs
multi-way morphs to generate real-time animation that mimics the
expressions of a user. Our system consists of a vision-based
tracking component and a rendering component. Together, they form
an animation system that can be used in a variety of applications,
including teleconferencing, multi-user virtual worlds, compressed
instructional videos, and consumer-oriented animation kits. This
paper describes our algorithms in detail and illustrates the
potential for this work in a teleconferencing application.
Experience with our implementation suggests that there are several
advantages to our hand-drawn characters over other alternatives:
(1) flexibility of animation style; (2) increased compression of
expression information; and (3) masking of errors made by the face
tracking system that are distracting in photorealistic
animation.},
year = {2000},
pages = {101--108},
}
|