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Techniques of Facial Synthesis: A Comprehensive Literature Review

by Deepti Chandra, Sanjeev Karmakar, Rajendra Hegadi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 10
Year of Publication: 2013
Authors: Deepti Chandra, Sanjeev Karmakar, Rajendra Hegadi
10.5120/9966-4622

Deepti Chandra, Sanjeev Karmakar, Rajendra Hegadi . Techniques of Facial Synthesis: A Comprehensive Literature Review. International Journal of Computer Applications. 61, 10 ( January 2013), 34-41. DOI=10.5120/9966-4622

@article{ 10.5120/9966-4622,
author = { Deepti Chandra, Sanjeev Karmakar, Rajendra Hegadi },
title = { Techniques of Facial Synthesis: A Comprehensive Literature Review },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 10 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 34-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number10/9966-4622/ },
doi = { 10.5120/9966-4622 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:08:46.188739+05:30
%A Deepti Chandra
%A Sanjeev Karmakar
%A Rajendra Hegadi
%T Techniques of Facial Synthesis: A Comprehensive Literature Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 10
%P 34-41
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As an important area of computer graphics, realistic image synthesis provides principles and techniques for creating realistic imagery through computations based upon models of real-world objects and behaviors. Facial expression is one of the primary communication means of the human. The ultimate goal of realistic image synthesis is to achieve perfect realism -the synthesized images are visually indistinguishable from their real-world counterparts. This area has widespread applications in industry and scientific research including 3D design, omputer animation, scientific visualization and virtual reality Facial expression synthesis has many useful applications in practice. How to synthesize facial expression images robustly and simply is still a challenging problem. This paper surveys the state of the art in this area.

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Index Terms

Computer Science
Information Sciences

Keywords

Facial Synthesis Eigen pictures FED Active Appearance Mode Parameterization

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