论文信息 - Face recognition using Active Appearance Model

Face recognition using Active Appearance Model

In this paper a framework for face recognition using Active Appearance Model is proposed. Active appearance model has the ability to synthesize near-photo realistic images of the class learned from the training set. The recognition algorithm works on those synthesized images and tries to match the nearest face in the training set to the synthesized image.

Caglar Tirkaz | Songul Albayrak | S. Albayrak | C. Tirkaz

[1] Bjarne K. Ersbøll,et al. FAME-a flexible appearance modeling environment , 2003, IEEE Transactions on Medical Imaging.

[2] Timothy F. Cootes,et al. Statistical models of appearance for computer vision , 1999 .

[3] Robert H. Riffenburgh,et al. Linear Discriminant Analysis , 1960 .

[4] Timothy F. Cootes,et al. Active Appearance Models , 1998, ECCV.

[5] Timothy F. Cootes,et al. Face Recognition Using Active Appearance Models , 1998, ECCV.

[6] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .