Emotional Intensity-based Facial Expression Cloning for Low Polygonal Applications

People instinctively recognize facial expression as a key to nonverbal communication, which has been confirmed by many different research projects. A change in intensity or magnitude of even one specific facial expression can cause different interpretations. A systematic method for generating facial...

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Bibliographic Details
Published in:IEEE transactions on human-machine systems 2009-05, Vol.39 (3), p.315-330
Main Authors: CHIN, Seongah, KIM, Kyoung-Yun
Format: Article
Language:English
Subjects:
Animation
Applied sciences
Artificial intelligence
Believable agent
Bones
Cloning
Computer science
control theory
systems
Computer systems and distributed systems. User interface
customized face generation
Cybernetics
Emotion recognition
emotion state
Exact sciences and technology
Face recognition
Facial
Facial animation
facial expression
Facial muscles
Humans
intensity cloning
intensity modeling
Mapping
Muscles
Nonverbal communication
Pattern recognition. Digital image processing. Computational geometry
Psychology
Simulation
Software
Three dimensional
Usability
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Summary:People instinctively recognize facial expression as a key to nonverbal communication, which has been confirmed by many different research projects. A change in intensity or magnitude of even one specific facial expression can cause different interpretations. A systematic method for generating facial expression syntheses, while mimicking realistic facial expressions and intensities, is a strong need in various applications. Although manually produced animation is typically of high quality, the process is slow and costly-therefore, often unrealistic for low polygonal applications. In this paper, we present a simple and efficient emotional-intensity-based expression cloning process for low-polygonal-based applications, by generating a customized face, as well as by cloning facial expressions. We define intensity mappings to measure expression intensity. Once a source expression is determined by a set of suitable parameter values in a customized 3D face and its embedded muscles, expressions for any target face(s) can be easily cloned by using the same set of parameters. Through experimental study, including facial expression simulation and cloning with intensity mapping, our research reconfirms traditional psychological findings. Additionally, we discuss the method's overall usability and how it allows us to automatically adjust a customized face with embedded facial muscles while mimicking the user's facial configuration, expression, and intensity.
ISSN:1094-6977
2168-2291
1558-2442
2168-2305
DOI:10.1109/TSMCC.2008.2011283