Synthesizing realistic facial expressions from photographs
Synthesizing realistic facial expressions from photographs
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DOI：
10.1145/1185657.1185859
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发表时间：
1998-07
期刊：
影响因子：
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通讯作者：
Frédéric H. Pighin;Jamie Hecker;Dani Lischinski;R. Szeliski;D. Salesin
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文献类型：
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作者：
Frédéric H. Pighin;Jamie Hecker;Dani Lischinski;R. Szeliski;D. Salesin
我们提出了新技术，用于根据人类主体的照片创建逼真的纹理 3D 面部模型，并通过在这些不同模型之间变形来创建不同面部表情之间的平滑过渡。从人类主体的几个未校准视图开始，我们采用用户辅助技术来恢复与视图相对应的相机姿势以及主体面部上一组稀疏选定位置的 3D 坐标。然后使用分散数据插值技术使通用面部网格变形以适应主体面部的特定几何形状。恢复相机姿势和面部几何形状后，我们从输入图像中提取模型的一个或多个纹理图。对于特定对象的几种面部表情重复此过程。为了生成这些面部表情之间的过渡，我们在相应的面部模型之间使用 3D 形状变形，同时混合相应的纹理。使用我们的技术，我们已经能够生成高度逼真的面部模型和自然的动画。
We present new techniques for creating photorealistic textured 3D facial models from photographs of a human subject, and for creating smooth transitions between different facial expressions by morphing between these different models. Starting from several uncalibrated views of a human subject, we employ a user-assisted technique to recover the camera poses corresponding to the views as well as the 3D coordinates of a sparse set of chosen locations on the subject's face. A scattered data interpolation technique is then used to deform a generic face mesh to fit the particular geometry of the subject's face. Having recovered the camera poses and the facial geometry, we extract from the input images one or more texture maps for the model. This process is repeated for several facial expressions of a particular subject. To generate transitions between these facial expressions we use 3D shape morphing between the corresponding face models, while at the same time blending the corresponding textures. Using our technique, we have been able to generate highly realistic face models and natural looking animations.