The Effects of Pose On Facial Expression Recognition
Moore, S and Bowden, R (2009) The Effects of Pose On Facial Expression Recognition In: BMVC 2009, 2009-09-07 - 2009-09-10, London, UK.
Available under License : See the attached licence file.
Research into facial expression recognition has predominantly been based upon near frontal view data. However, a recent 3D facial expression database (BU-3DFE database) has allowed empirical investigation of facial expression recognition across pose. In this paper, we investigate the effects of pose from frontal to profile view on facial expression recognition. Experiments are carried out on 100 subjects with 5 yaw angles over 6 prototypical expressions. Expressions have 4 levels of intensity from subtle to exaggerated. We evaluate features such as local binary patterns (LBPs) as well as various extensions of LBPs. In addition, a novel approach to facial expression recognition is proposed using local gabor binary patterns (LGBPs). Multi class support vector machines (SVMs) are used for classification. We investigate the effects of image resolution and pose on facial expression classification using a variety of different features.
|Item Type:||Conference or Workshop Item (Conference Poster)|
|Divisions :||Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing|
|Identification Number :||https://doi.org/10.5244/C.23.79|
|Additional Information :||© The author(s). Published by BMVA Press.|
|Depositing User :||Symplectic Elements|
|Date Deposited :||11 Jun 2012 14:58|
|Last Modified :||09 Jun 2014 13:18|
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