A face recognition and synthetic natural hybrid coding tool involving frontal and pro le views is presented in this paper The tool utilizes the above mentioned D images upon which certain protuberant points are automatically detected and adapts a generic D head model polygon mesh according to the predetermined information gained by the available views This mesh provides shape information which combined with texture information is important for the robustness of a recognition system The main advantage of the proposed approach is its ability to overcome constraints raised from arbitrary variations in scale rotation and orientation which are dominant deterioration factors in the identi cation task Besides the face recognition aspect applications which involve geometry transmis sion such as teleconferencing can take advantage of the proposed algorithm s ability to parametrically describe a complex organic model such as a human head During the texture map creation process issues related to the luminance di erences and rotation vari ance between the available views are successfully dealt with Regarding the adaptation of the polygon topology of the D model we apply a set of localized transformations in order to preserve the continuity of the human head surface Besides this the problem of the minimum organic model representation required is addressed The aspect under which this issue is verged upon is that of the solution of a trade o problem between low computational complexity and high approximation quality