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International Journal of Computer Applications
Article . 2010 . Peer-reviewed
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Parametric Facial Expression Synthesis and Animation

Authors: Narendra M Patel; Mukesh Zaveri;

Parametric Facial Expression Synthesis and Animation

Abstract

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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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
gold