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Published in the journal of visualization and computer animation, 1(2)7380, 1990. Physically-based facial modeling, analysis, and animation demetri terzopoulos y z and keith waters y schlumberger laboratory for computer science, p. Box 200015, austin, tx 78720 z department of computer science, university of toronto, toronto, ontario, m5s 1a4 abstract we develop a new 3d hierarchical. Despite its sophistication, the model is efficient enough to produce facial animation at interactive rates on a highend graphics workstation. Citeseerx - document details (isaac councill, lee giles, pradeep teregowda) we develop a new 3d hierarchical model of the human face. The model incorporates a physically-based approximation to facial tissue and a set of anatomically-motivated facial muscle actuators. Despite its sophistication, the model is efficient enough to produce facial animation at interactive rates on a high-end. Facial modeling facial animation adaptive meshing facial image analysis deformable models physically-based modeling performance animation this is. construction and animation of realistic human facial models is an important research field in computer graphics. How to simulate the motions of human faces on 3d facial models in real-time to generate realistic facial expressions is still a challenge. In this paper, a technique to simulate the human facial animation realistically in real-time is presented. this paper presents an automatic and effective approach for 3d face segmentation, feature extraction, rigging and animation. The 3d model we used is a triangular mesh model in obj file format. Combining the position information and neighbor coordinates of the points, the facial segmentation and feature extraction can be finished based on gaussian curvature, shape indexes and face geometry. Comp 259 physically-based modeling, simulation and animation instructor ming c. D terzopoulos and k waters (1990) physically-based facial modeling, analysis and animation, journal of visualisation and computer animation, 1(4), 7380. Facial modeling and analysis modeling facial motion requires detailed measurement across the entire facial sur-face. Consequently, ourfacial modelingtooluses pixel-by-pixel measurements of surface motion (optical ow 13) as inputmeasurements. These dense motionmeasurements are then coupled to a physically-based face model and to a muscle.