Research Article
Evaluation of a Facial Animation Authoring Pipeline Seamlessly Supporting Performance Capture and Manual Key-pose Editing
@ARTICLE{10.4108/ct.2.3.e4, author={Fabrizio Nunnari and Alexis Heloir}, title={Evaluation of a Facial Animation Authoring Pipeline Seamlessly Supporting Performance Capture and Manual Key-pose Editing}, journal={EAI Endorsed Transactions on Creative Technologies}, volume={2}, number={3}, publisher={ICST}, journal_a={CT}, year={2015}, month={6}, keywords={facial animation, performance capture, retargeting, evaluation, animation authoring}, doi={10.4108/ct.2.3.e4} }- Fabrizio Nunnari
Alexis Heloir
Year: 2015
Evaluation of a Facial Animation Authoring Pipeline Seamlessly Supporting Performance Capture and Manual Key-pose Editing
CT
ICST
DOI: 10.4108/ct.2.3.e4
Abstract
In this paper, we present an architecture following a novel animation authoring pipeline seamlessly supporting performance capture and manual editing of key-frames animation. This pipeline allows novice users to record and author sophisticated facial animations in a fraction of the time that would be required using traditional animation tools. This approach paves the way towards novel animation pipelines which seamlessly merge the roles of the animator and the actor. The second contribution is a method assessing a facial retargeting system, we conducted a user study where participants assessed the emotions conveyed by the facial expression displayed in the control and the authored animation. Contrary to existing evaluation methods, it factors out possible misinterpretations of the intended emotion and focuses on assessing the retargeting quality.
Copyright © 2015 F. Nunnari and A. Heloir, licensed to ICST. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
