Impression Transformation of a Face Based on Discriminant Analysis on Separately Coded Representations of Facial Shape and Texture
Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings. (2004)
May 17, 2004 to May 19, 2004
Toshikazu Kobayashi , Hosei University, Japan
Masataka Ozu , Hosei University, Japan
Syunsuke Otake , Hosei University, Japan
Shigeru Akamatsu , Hosei University, Japan
This paper describes an attempt to develop a real-life application for transforming the appearance of a person's face to give a more favorable impression. Face images are first represented as high-dimensional vectors by separating the shape and texture information, and variations in the appearance of face images are coded by applying principal component analysis to a set of various face images. The relationship between the coded representation and the impression of corresponding images is analyzed, and an impression transfer vector is defined by the Fisher's linear discriminant obtained from a number of training images previously categorized into two opposing classes for a given impression dimension. An image manipulation method for transforming impressions is proposed which shifts the projection of the input image in the parameter space by an arbitrary magnitude of the impression transfer vector. Experimental results for impression transformations of both age and gender dimensions showed that the method proposed for face image manipulation is an effective one.
S. Akamatsu, T. Kobayashi, S. Otake and M. Ozu, "Impression Transformation of a Face Based on Discriminant Analysis on Separately Coded Representations of Facial Shape and Texture," Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings.(FG), Seoul, Korea, 2004, pp. 711.