Paper Info
Title
Estimation Of Asymmetry Parameters For Mesh Based Facial Models
Abstract
Construction of human like avatars is a key to produce realistic animation in virtual reality environments and has been a commonplace in present day applications. However most of the models proposed to date intuitively assume human face as a symmetric entity. Such assumptions produce unfavorable drawbacks in applications where the analysis and estimation of facial deformation patterns play a major role. Thus in this work we propose an approach to define asymmetry parameters of facial expressions and a method to evaluate them. The proposed method is based on capturing facial expressions in three-dimension by using a rangefinder system. Three-dimensional range data acquired by the system are analyzed by adapting a generic mesh with facial topology. The asymmetry parameters are defined based on the elements of the generic mash and evaluated for facial expressions of normal subjects and patients with facial nerve paralysis disorders. The proposed system can be used to store asymmetric details of expressions and well fitted to remote doctor-patient environments.
Year
DOI
Venue
2003
10.1109/CIRA.2003.1222133
2003 IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION, VOLS I-III, PROCEEDINGS
Keywords
Field
DocType
face,application software,three dimensions,neurophysiology,topology,mesh generation,virtual reality,parameter estimation,facial animation,three dimensional,pattern analysis,computer animation,biomedical imaging,facial expression
Computer vision,Expression (mathematics),Computer science,Facial expression,Animation,Artificial intelligence,Computer facial animation,Estimation theory,Computer animation,Asymmetry,Mesh generation
Conference
Citations 
PageRank 
References 
0
0.34
1
Authors
2
Name
Order
Citations
PageRank
Pujitha Gunaratne1172.99
Yukio Sato200.34