DocumentCode :
3187375
Title :
3D facial expression recognition: A perspective on promises and challenges
Author :
Fang, T. ; Zhao, X. ; Ocegueda, O. ; Shah, S.K. ; Kakadiaris, I.A.
fYear :
2011
fDate :
21-25 March 2011
Firstpage :
603
Lastpage :
610
Abstract :
This survey focuses on discrete expression classification and facial action unit recognition performed using 3D face data, possibly including a corresponding 2D texture image. Research trends to date are summarized and the limitations of current methods are discussed. The challenges towards the development of more accurate and automated 3D facial expression recognition methods are identified. We also call for standardized experimental protocols in order to draw fair and meaningful comparisons between different systems.
Keywords :
emotion recognition; face recognition; image classification; image texture; solid modelling; 2D texture image; 3D face data; 3D facial expression recognition; discrete expression classification; facial action unit recognition; Databases; Face; Face recognition; Feature extraction; Manuals; Solid modeling; Three dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Face & Gesture Recognition and Workshops (FG 2011), 2011 IEEE International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
978-1-4244-9140-7
Type :
conf
DOI :
10.1109/FG.2011.5771466
Filename :
5771466
Link To Document :
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