Parametric Facial Expression Synthesis and Animation
Author(s) -
Narendra Patel,
Mukesh A. Zaveri
Publication year - 2010
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/719-1011
Subject(s) - computer science , animation , interpolation (computer graphics) , skeletal animation , parametric statistics , computer animation , parameterized complexity , computer facial animation , computer graphics (images) , computer graphics , set (abstract data type) , expression (computer science) , facial expression , interface (matter) , linear interpolation , artificial intelligence , algorithm , pattern recognition (psychology) , mathematics , statistics , bubble , maximum bubble pressure method , parallel computing , programming language
In this paper, we proposed a parametric model based facial animation synthesis. In the proposed algorithm various facial expressions are generated using the parametric models and the novelty of the algorithm is that new expressions can be generated by blending selected expressions. A complete parameterized model for faces would allow the animator to create any facial image by specifying the appropriate set of parameter values. Using the interface developed along with the proposed algorithm, these images can be used to develop an animation based on an interactive system, virtual reality and games. Interface allows selection of linear and non linear interpolation, play animation and save animation. In this paper we have highlighted advantages and disadvantages of linear and non linear interpolation and proposed a method which incorporates advantages of both. General Terms Animation, Computer graphics.
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