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Expression-invariant three-dimensional face reconstruction from a single image by facial expression generic elastic models

[+] Author Affiliations
Ali Moeini

Amirkabir University of Technology, Department of Electrical Engineering, Hafez Avenue, Tehran 15914, Iran

Karim Faez

Amirkabir University of Technology, Department of Electrical Engineering, Hafez Avenue, Tehran 15914, Iran

Hossein Moeini

Semnan University, Department of Electrical Engineering, Daneshgah Avenue, Semnan 35131, Iran

J. Electron. Imaging. 23(5), 053013 (Oct 03, 2014). doi:10.1117/1.JEI.23.5.053013
History: Received May 30, 2014; Revised September 2, 2014; Accepted September 11, 2014
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Abstract.  An efficient method for expression-invariant three-dimensional (3-D) face reconstruction from a frontal face image with a variety of facial expressions (FE) using the FE generic elastic model (GEM) is proposed. Three generic models are employed for FE modeling in the generic elastic model (GEM) framework, which are combined based on the similarity distance around the lips. Exclusively, FE-GEM demonstrated that it is more precisely able to estimate a 3-D model of a frontal face, attaining a more robust and better quality 3-D face reconstruction under a variety of FEs compared to the original GEM approach. It is tested on an available 3-D face database and its accuracy and robustness are demonstrated compared to the GEM approach under a variety of FEs. Also, the FE-GEM method is tested on available two-dimensional face databases and a new synthesized pose is generated from gallery images for handling pose variations in face recognition.

© 2014 SPIE and IS&T

Citation

Ali Moeini ; Karim Faez and Hossein Moeini
"Expression-invariant three-dimensional face reconstruction from a single image by facial expression generic elastic models", J. Electron. Imaging. 23(5), 053013 (Oct 03, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.5.053013


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