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10.1145/2073370.2073371acmconferencesArticle/Chapter ViewAbstractPublication Pagessiggraph-asiaConference Proceedingsconference-collections
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Kinect-based facial animation

Published: 12 December 2011 Publication History

Abstract

In this demo we present our system for performance-based character animation that enables any user to control the facial expressions of a digital avatar in realtime. Compared to existing technologies, our system is easy to deploy and does not require any face markers, intrusive lighting, or complex scanning hardware. Instead, the user is recorded in a natural environment using the non-intrusive, commercially available Microsoft Kinect 3D sensor. Since high noise levels in the acquired data prevent conventional tracking methods to work well, we developed a method to combine a database of existing animations with facial tracking to generate compelling animations. Realistic facial tracking facilitates a range of new applications, e.g. in digital gameplay, telepresence or social interactions.

Supplementary Material

MOV File (a1-weise.mov)

References

[1]
Li, H., Weise, T., and Pauly, M. 2010. Example-based facial rigging. ACM Trans. Graph. 29, 32:1--32:6.
[2]
Weise, T., Bouaziz, S., Li, H., and Pauly, M. 2011. Real-time performance-based facial animation. ACM Trans. Graph. 30, 77:1--77:10.

Cited By

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  • (2017)The Development of a Facial Animation System Based on Performance and the Use of an RGB-D Camera2017 19th Symposium on Virtual and Augmented Reality (SVR)10.1109/SVR.2017.19(78-86)Online publication date: Nov-2017

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Published In

cover image ACM Conferences
SA '11: SIGGRAPH Asia 2011 Emerging Technologies
December 2011
24 pages
ISBN:9781450311366
DOI:10.1145/2073370
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 December 2011

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  • Research-article

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SA '11
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SA '11: SIGGRAPH Asia 2011
December 12 - 15, 2011
Hong Kong, China

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Overall Acceptance Rate 178 of 869 submissions, 20%

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  • (2017)The Development of a Facial Animation System Based on Performance and the Use of an RGB-D Camera2017 19th Symposium on Virtual and Augmented Reality (SVR)10.1109/SVR.2017.19(78-86)Online publication date: Nov-2017

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