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Published: 30 July 2006 Publication History

Abstract

Creating an animation of a realistic and expressive human face is clearly one of greatest challenges in computer graphics. The human face is an extremely complex biomechanical system that is very difficult to model. Human skin has unique reflectance properties that are challenging to simulate accurately. Moreover the face can convey subtle emotions through minute motions. We do not know the control mechanism of these motions.This course focuses on animating the face, ignoring rendering issues. Although the subject is contentious, some people feel that manual keyframe animation may never capture the subtleties of real facial movement. A more practical viewpoint is that while some animators may be able to produce realistic facial animation, the consistent production of large amounts of flawless animation is expensive and probably not practical.On the other hand, the ideal "input device" for driving facial animation is probably the face itself --- simply mimicking the desired expression is far faster, easier, and more natural than adjusting dozens of sliders. Thus comes the idea of performance-driven facial animation: drive the animation directly from a person's captured facial performance.

References

[1]
K. Aizawa, H. Harashima, and T. Saito. Model-based analysis synthesis coding system for a person's face. Signal Processing: Image Communication, 1:139--152.
[2]
David Bennett. The faces of The Polar Express. notes in SIGGRAPH course #9: Digital Face Cloning, 2005.
[3]
George Borshukov, Dan Piponi, Oystein Larsen, J. P. Lewis, and Christina Tempelaar-Lietz. Universal capture: image-based facial animation for "the matrix reloaded". In Proceedings of the SIGGRAPH 2003 conference on Sketches & applications, pages 1--1. ACM Press, 2003.
[4]
T.F. Cootes, C.J. Taylor, D.H. Cooper, and J. Graham. Active shape models - their training and application. Computer Vision and Image Understanding, 61(1):38--59, January 1995.
[5]
D. Decarlo and D. Metaxas. Deformable model-based shape and motion analysis from images using motion residual error. In Proceedings, First International Conference on Computer Vision, pages 113-- 119, 1998.
[6]
P. Eisert, T. Wiegand, and B. Girod. Model-aided coding: A new approach to incorporate facial animation into motion-compensated video coding, 2000.
[7]
EYETRONICS. Shapesnatcher. http://www.eyetronics.com.
[8]
B. Guenter, C. Grimm, D.Wood, H. Malvar, and F. Pighin. Making faces. In SIGGRAPH 98 Conference Proceedings, pages 55--66. ACM SIGGRAPH, July 1998.
[9]
Ward Jenkins. The Polar Express: a virtual train wreck. wardomatic.blogspot.com/2004/12/ polar-express-virtual-train-wreck 18.html, 2004.
[10]
H. Li, P. Roivainen, and R. Forcheimer. 3-d motion estimation in model-based facial image coding. IEEE Trans. Pattern Anal. Mach. Intell., 15(6):545--555, 1993.
[11]
Masahiro Mori. On the uncanny valley. In Proceedings of the Humanoids-2005 workshop: Views of the Uncanny Valley, December 2005.
[12]
Lawrence Weschler. Why is this man smiling? Wired, June 2002.
[13]
L. Williams. Performance-driven facial animation. In SIGGRAPH 90 Conference Proceedings, volume 24, pages 235--242, August 1990.
[14]
LaurenzWiskott, Jean-Marc Fellous, Norbert Kruger, and Christoph von der Malsburg. Face recognition by elastic bunch graph matching. In Gerald Sommer, Kostas Daniilidis, and Josef Pauli, editors, Proc. 7th Intern. Conf. on Computer Analysis of Images and Patterns, CAIP'97, Kiel, number 1296, pages 456--463, Heidelberg, 1997. Springer-Verlag.
[15]
Li Zhang, Noah Snavely, Brian Curless, and Steven M. Seitz. Spacetime faces: high resolution capture for modeling and animation. ACM Trans. Graph., 23(3):548--558, 2004.

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  • (2009)My robotic doppelgänger - a critical look at the Uncanny ValleyRO-MAN 2009 - The 18th IEEE International Symposium on Robot and Human Interactive Communication10.1109/ROMAN.2009.5326351(269-276)Online publication date: Sep-2009

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cover image ACM Conferences
SIGGRAPH '06: ACM SIGGRAPH 2006 Courses
July 2006
83 pages
ISBN:1595933646
DOI:10.1145/1185657
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Published: 30 July 2006

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  • (2009)My robotic doppelgänger - a critical look at the Uncanny ValleyRO-MAN 2009 - The 18th IEEE International Symposium on Robot and Human Interactive Communication10.1109/ROMAN.2009.5326351(269-276)Online publication date: Sep-2009

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