High Fidelity Facial Animation Capture and Retargeting With Contours
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Date
2013
Journal Title
Journal ISSN
Volume Title
Publisher
ACM SIGGRAPH / Eurographics Association
Abstract
Human beings are naturally sensitive to subtle cues in facial expressions, especially in areas of the eyes and mouth. Current facial motion capture methods fail to accurately reproduce motions in those areas due to multiple limitations. In this paper, we present a new performance capture method that focuses on the perceptually important contour features on the face. Additionally, the output of our two-step optimization scheme is also easily editable by an animator. To illustrate the strength of our system, we present a retargeting application that incorporates primary contour lines to map a performance with lip-sync from an actor to a creature.
Description
@inproceedings{10.1145:2485895.2485915,
booktitle = {Eurographics/ ACM SIGGRAPH Symposium on Computer Animation},
editor = {Theodore Kim and Robert Sumner},
title = {{High Fidelity Facial Animation Capture and Retargeting With Contours}},
author = {Bhat, Kiran S. and Goldenthal, Rony and Ye, Yuting and Mallet, Ronald and Koperwas, Michael},
year = {2013},
publisher = {ACM SIGGRAPH / Eurographics Association},
ISSN = {1727-5288},
ISBN = {978-1-4503-2132-7},
DOI = {10.1145/2485895.2485915}
}