Automatic and real-time 3D face synthesis
Proceedings of the 8th International Conference on Virtual Reality Continuum and its Applications in Industry
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
Identities, forgeries and disguises
International Journal of Information Technology and Management
Surface measures for accuracy evaluation in 3d face reconstruction
Pattern Recognition
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Face recognition combines a number of advantages as it offers speed and reliability of detection at distance from the subject, which makes its candidacy as a biometric feature a fertile area of pattern recognition and image processing research. In general, changes to head pose and facial expression cause a 2D image of a face to become an unreliable form of identification, while a 3D representation suggests all vertices of the 3D facial model as candidate and useful features for face classification and recognition. Established 3D face reconstruction, however, requires multiple 2D images of a subject at different angles but such images are not always available, and proposals to construct a 3D facial model from a single 2D image of the face are hampered by severe restrictions on that image (frontal pose, neutral expression). This paper offers a new proposal to overcome deficiencies of 3D facial model reconstruction from one image, by improvements using an affine transformation and a 3D statistical face model. The experimental results that are presented for these new algorithms indicate that they are efficient and that this method is promising.