IEEE Transactions on Pattern Analysis and Machine Intelligence
Constructing Facial Identity Surfaces for Recognition
International Journal of Computer Vision
Facial Expression Space Learning
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Generating 3D views of facial expressions from frontal face video based on topographic analysis
Proceedings of the 12th annual ACM international conference on Multimedia
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Feature-adaptive motion energy analysis for facial expression recognition
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Bilinear kernel reduced rank regression for facial expression synthesis
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
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The human face exhibits complex and rich changes that are both unpredictable and varying in time. In this paper we present a novel method for synthesising and recognition of facial expression changes at extreme 3D views, based on images at near frontal views. Given a sequence of images of facial expressions at near frontal views, we automatically generate virtual expressions at extreme 3D views with corresponding semantic labelling of the expressions. This is accomplished by two components: (1) A shape component where modelling of the shape changes is accomplished through the use of a Mixture of Probabilistic PCA (MPPCA) (2) A texture component where modelling of the semantic changes is performed through auto-clustering of facial expression subspaces in the MPPCA feature space.