Abstract
Face is the most effective visual media for supporting human interface and communication. We have proposed a typical KANSEI machine vision system to generate the facial caricature so far. The basic principle of this system uses the “mean face assumption” to extract individual features of a given face. This system did not provide for feedback from the gallery of the caricature; therefore, to allow for such feedback, in this paper, we propose a caricaturing system by using the KANSEI visual information acquired from the Eye-camera mounted on the head of a gallery, because it is well know that the gaze distribution represents not only where but also how he is looking at the face. The caricatures created in this way could be based on several measures which are provided from the distribution of the number of fixations to the facial parts, the number of times the gaze came to a particular area of the face, and the matrix of the transitions from a facial region to the other. These measures of the gallery’s KANSEI information were used to create caricatures with feedback from the gallery.
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