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Facial animation retargeting and control based on a human appearance space
Author(s) -
Stoiber Nicolas,
Seguier Renaud,
Breton Gaspard
Publication year - 2010
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.331
Subject(s) - computer science , facial motion capture , computer facial animation , animation , retargeting , naturalness , artificial intelligence , computer vision , character animation , computer animation , motion capture , skeletal animation , facial expression , interface (matter) , motion (physics) , computer graphics (images) , facial recognition system , face detection , pattern recognition (psychology) , physics , bubble , quantum mechanics , maximum bubble pressure method , parallel computing
Expressive facial animations are essential to enhance the realism and the credibility of virtual characters. Parameter‐based animation methods offer a precise control over facial configurations while performance‐based animation benefits from the naturalness of captured human motion. In this paper, we propose an animation system that gathers the advantages of both approaches. By analyzing a database of facial motion, we create the human appearance space. The appearance space provides a coherent and continuous parameterization of human facial movements, while encapsulating the coherence of real facial deformations. We present a method to optimally construct an analogous appearance face for a synthetic character. The link between both appearance spaces makes it possible to retarget facial animation on a synthetic face from a video source. Moreover, the topological characteristics of the appearance space allow us to detect the principal variation patterns of a face and automatically reorganize them on a low‐dimensional control space. The control space acts as an interactive user‐interface to manipulate the facial expressions of any synthetic face. This interface makes it simple and intuitive to generate still facial configurations for keyframe animation, as well as complete temporal sequences of facial movements. The resulting animations combine the flexibility of a parameter‐based system and the realism of real human motion. Copyright © 2010 John Wiley & Sons, Ltd.