Within the framework of digital image processing and computer vision various research groups are working on the development of computer generated facial images (Patel, 1993) in two or three dimensions (Troje & Buelthoff, 1996). Two lines of research can be identified: developments pertaining to lip movements during speech production (Cohen & Massaro, 1994; Guiard-Marigny et al., 1994; Waters & Frisbee, 1995) and developments focusing on facial expression covering thus the whole face (Waters & Terzopoulos,1991; Marriott, 1992; Essa, 1994). Since expressive movements in face and speech produced movements often co-occur some computer animation systems take both into consideration (Wang, 1991; Cassell et al., 1994). Ultimate goal of these endeavours is the development of automated recognition of facial patterns. A model for associative memory and pattern recognition devised by Haken (1987) treats the activity of neurons as continuous variables and exploits an analogy with pattern formation in synergetic systems. As an application of the synergetic model Fuchs and Haken (1988) showed that complex visual patterns such as human faces can be identified by the computer. On the basis of this work a procedure was developed for the automated recognition of images of facial emotion (Vanger et al., 1995, 1997) by employing stored prototypes of facial expressions of emotion.