3D Facial Expression Synthesis: A Survey

Facial expression synthesis is a process of generating new face shapes from a given face and still retain the distinct facial characteristics of the initial face. The generated facial expressions can be used to improve the performance of existing face identification systems, or to enhance human reco...

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Main Authors: Samuel, Agianpuye, Jacey-Lynn, Minoi
Format: Proceeding
Language:English
Published: 2013
Subjects:
Online Access:http://ir.unimas.my/id/eprint/13408/
http://ir.unimas.my/id/eprint/13408/1/3D%20Facial%20Expression%20Synthesis%20A%20Survey%20%28abstract%29.pdf
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author Samuel, Agianpuye
Jacey-Lynn, Minoi
author_facet Samuel, Agianpuye
Jacey-Lynn, Minoi
author_sort Samuel, Agianpuye
building UNIMAS Institutional Repository
collection Online Access
description Facial expression synthesis is a process of generating new face shapes from a given face and still retain the distinct facial characteristics of the initial face. The generated facial expressions can be used to improve the performance of existing face identification systems, or to enhance human recognition. Earlier work on synthesizing face shapes used 2D face images. Only recently, the work moved to using 3D face shapes given the availability and improvement in 3D scanner technologies. The advantage of 3D faces over 2D image data is that 3D face holds more geometric shape data and is invariant to poses and illumination. This paper aims to give an overview of the methods used for 3D facial expression synthesis. We present an overview of 3D face expression synthesis, its applications and benefits and then we review some of the most resent 3D face expression synthesis approaches.
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institution Universiti Malaysia Sarawak
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spelling unimas-134082022-09-15T04:08:01Z http://ir.unimas.my/id/eprint/13408/ 3D Facial Expression Synthesis: A Survey Samuel, Agianpuye Jacey-Lynn, Minoi T Technology (General) Facial expression synthesis is a process of generating new face shapes from a given face and still retain the distinct facial characteristics of the initial face. The generated facial expressions can be used to improve the performance of existing face identification systems, or to enhance human recognition. Earlier work on synthesizing face shapes used 2D face images. Only recently, the work moved to using 3D face shapes given the availability and improvement in 3D scanner technologies. The advantage of 3D faces over 2D image data is that 3D face holds more geometric shape data and is invariant to poses and illumination. This paper aims to give an overview of the methods used for 3D facial expression synthesis. We present an overview of 3D face expression synthesis, its applications and benefits and then we review some of the most resent 3D face expression synthesis approaches. 2013 Proceeding NonPeerReviewed text en http://ir.unimas.my/id/eprint/13408/1/3D%20Facial%20Expression%20Synthesis%20A%20Survey%20%28abstract%29.pdf Samuel, Agianpuye and Jacey-Lynn, Minoi (2013) 3D Facial Expression Synthesis: A Survey. In: 2013 8th International Conference on Information Technology in Asia (CITA), 1-4 July 2013. http://ieeexplore.ieee.org/document/6637552/
spellingShingle T Technology (General)
Samuel, Agianpuye
Jacey-Lynn, Minoi
3D Facial Expression Synthesis: A Survey
title 3D Facial Expression Synthesis: A Survey
title_full 3D Facial Expression Synthesis: A Survey
title_fullStr 3D Facial Expression Synthesis: A Survey
title_full_unstemmed 3D Facial Expression Synthesis: A Survey
title_short 3D Facial Expression Synthesis: A Survey
title_sort 3d facial expression synthesis: a survey
topic T Technology (General)
url http://ir.unimas.my/id/eprint/13408/
http://ir.unimas.my/id/eprint/13408/
http://ir.unimas.my/id/eprint/13408/1/3D%20Facial%20Expression%20Synthesis%20A%20Survey%20%28abstract%29.pdf