DocumentCode :
1896403
Title :
Detecting 3D facial Action Units via registration
Author :
Savran, Arman ; Sankur, Bülent
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Bogazici Univ., Istanbul, Turkey
fYear :
2011
fDate :
20-22 April 2011
Firstpage :
371
Lastpage :
374
Abstract :
Due to its potential for human-computer interfaces and human facial behavior research, automatic analysis of facial expressions has been an active area of study. In this paper a novel data-driven approach is proposed to detect Action Units (AUs) on 3D faces. With this approach, it is possible to design detectors that can perform detailed face registration without resorting to any face modeling, hence can compensate confounding effects like pose and physiognomy differences and can process facial features more effectively, however, without and drawbacks of model-driven analysis. This is the first example of detailed registration in data-driven expression analysis and surpasses state-of-the-art AU detection.
Keywords :
face recognition; image registration; 3D facial action unit detection; AU detection; automatic analysis; human facial behavior research; human-computer interface; image registration; Active appearance model; Conferences; Deformable models; Gold; Signal processing; Support vector machines; Three dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4577-0462-8
Electronic_ISBN :
978-1-4577-0461-1
Type :
conf
DOI :
10.1109/SIU.2011.5929664
Filename :
5929664
Link To Document :
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