Facial expression biometrics using statistical shape models
EURASIP Journal on Advances in Signal Processing - Special issue on recent advances in biometric systems: a signal processing perspective
Static and dynamic 3D facial expression recognition: A comprehensive survey
Image and Vision Computing
3D/4D facial expression analysis: An advanced annotated face model approach
Image and Vision Computing
Recognition of 3D facial expression dynamics
Image and Vision Computing
Automatic facial pose determination of 3D range data for face model and expression identification
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
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Research on automatic techniques for analyzing human facial behavior has been intensified, driven by the emerging research field of affective computing [10, 9] and its important application in human computer interaction and intelligent systems. The face surface is a three dimensional timevarying 'wave', which is associated with the movement of facial expressions. Tracing the behavior of the 3D primitive features could reveal precious information about the nature of the underlying physical process. In this paper, we propose to study the intensity-variant facial expressions in a 3D space. We present a new approach for 3D expression model analysis, tracking and classification. We demonstrate the feasibility and advantage of the proposed method using the 3D range data for prototypic 3D facial expression recognition.