Waters K, Terzopoulos D
Digital Equipment Corporation, Cambridge Research Lab, Massachusetts 02139.
Philos Trans R Soc Lond B Biol Sci. 1992 Jan 29;335(1273):87-93. doi: 10.1098/rstb.1992.0011.
This paper presents a methodology for the computer synthesis of realistic faces capable of expressive articulations. A sophisticated three-dimensional model of the human face is developed that incorporates a physical model of facial tissue with an anatomical model of facial muscles. The tissue and muscle models are generic, in that their structures are independent of specific facial geometries. To synthesize specific faces, these models are automatically mapped onto geometrically accurate polygonal facial representations constructed by photogrammetry of stereo facial images or by non-uniform meshing of detailed facial topographies acquired by using range sensors. The methodology offers superior realism by utilizing physical modelling to emulate complex tissue deformations in response to coordinated facial muscle activity. To provide realistic muscle actions to the face model, a performance driven animation technique is developed which estimates the dynamic contractions of a performer's facial muscles from video imagery.
本文提出了一种用于计算机合成具有表情关节活动能力的逼真面部的方法。开发了一种复杂的三维人脸模型,该模型将面部组织的物理模型与面部肌肉的解剖模型相结合。组织和肌肉模型是通用的,因为它们的结构独立于特定的面部几何形状。为了合成特定的面部,这些模型会自动映射到通过立体面部图像的摄影测量或通过使用距离传感器获取的详细面部地形的非均匀网格划分构建的几何精确多边形面部表示上。该方法通过利用物理建模来模拟复杂的组织变形以响应协调的面部肌肉活动,从而提供了卓越的真实感。为了给面部模型提供逼真的肌肉动作,开发了一种性能驱动的动画技术,该技术从视频图像中估计表演者面部肌肉的动态收缩。