Double spline muscle models for human face animation based on video analysis

Sy-Sen Tang; Alan Wee-Chung Liew; Hong Yan

Double spline muscle models for human face animation based on video analysis

Sy-Sen Tang, Alan Wee-Chung Liew, Hong Yan

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

Facial animation has been widely used in different areas such as entertainment and teleconferencing. Using video data to control facial animation is an interesting and difficult problem. In this paper, a novel double B-spline (NURBS) muscle system is proposed to simulate a 3D facial expression and talking animation based on video image. This system can simulate many different expressions of elastic human face. Each muscle is constructed by two non-uniform rational B-spline curves, which better approximate the real muscle system. There are 14 features points to represent facial expressions and we apply a lip contour extraction technique to determine lip shapes.

Original language	English
Title of host publication	2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
Pages	246-249
Publication status	Published - 2004
Event	2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 - Hong Kong, China, Hong Kong Duration: 20 Oct 2004 → 22 Oct 2004

Conference

Conference	2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
Country/Territory	Hong Kong
City	Hong Kong, China
Period	20/10/04 → 22/10/04

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@inproceedings{88330184ef104440b1baf9263bff8223,

title = "Double spline muscle models for human face animation based on video analysis",

abstract = "Facial animation has been widely used in different areas such as entertainment and teleconferencing. Using video data to control facial animation is an interesting and difficult problem. In this paper, a novel double B-spline (NURBS) muscle system is proposed to simulate a 3D facial expression and talking animation based on video image. This system can simulate many different expressions of elastic human face. Each muscle is constructed by two non-uniform rational B-spline curves, which better approximate the real muscle system. There are 14 features points to represent facial expressions and we apply a lip contour extraction technique to determine lip shapes.",

author = "Sy-Sen Tang and Liew, {Alan Wee-Chung} and Hong Yan",

year = "2004",

language = "English",

isbn = "780386884",

pages = "246--249",

booktitle = "2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004",

note = "2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 ; Conference date: 20-10-2004 Through 22-10-2004",

}

Double spline muscle models for human face animation based on video analysis. / Tang, Sy-Sen; Liew, Alan Wee-Chung; Yan, Hong.
2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004. 2004. p. 246-249.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Double spline muscle models for human face animation based on video analysis

AU - Tang, Sy-Sen

AU - Liew, Alan Wee-Chung

AU - Yan, Hong

PY - 2004

Y1 - 2004

N2 - Facial animation has been widely used in different areas such as entertainment and teleconferencing. Using video data to control facial animation is an interesting and difficult problem. In this paper, a novel double B-spline (NURBS) muscle system is proposed to simulate a 3D facial expression and talking animation based on video image. This system can simulate many different expressions of elastic human face. Each muscle is constructed by two non-uniform rational B-spline curves, which better approximate the real muscle system. There are 14 features points to represent facial expressions and we apply a lip contour extraction technique to determine lip shapes.

AB - Facial animation has been widely used in different areas such as entertainment and teleconferencing. Using video data to control facial animation is an interesting and difficult problem. In this paper, a novel double B-spline (NURBS) muscle system is proposed to simulate a 3D facial expression and talking animation based on video image. This system can simulate many different expressions of elastic human face. Each muscle is constructed by two non-uniform rational B-spline curves, which better approximate the real muscle system. There are 14 features points to represent facial expressions and we apply a lip contour extraction technique to determine lip shapes.

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-14544271825&origin=recordpage

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 780386884

SP - 246

EP - 249

BT - 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004

T2 - 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004

Y2 - 20 October 2004 through 22 October 2004

ER -

Double spline muscle models for human face animation based on video analysis

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