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Today 3D human face models have been widely used in applications such as face recognition, head tracking, facial expression recognition, human action recognition, video compression/coding and facial animation. Modeling human faces provides a potential solution to identifying faces with variations in illumination, pose, and facial expression. We propose a method of modeling human faces based on a generic MPEG-4 face model (a triangular mesh model) and individual facial characteristics containing both shape and texture information. The modeling method adapts a generic face model to the extracted facial features.