摘要
In this paper, a facial animation system is proposed for capturing bothgeometrical information and illumination changes of surface details, called expression details, fromvideo clips simultaneously, and the captured data can be widely applied to different 2D face imagesand 3D face models. While tracking the geometric data, we record the expression details by ratioimages. For 2D facial animation synthesis, these ratio images are used to generate dynamic textures.Because a ratio image is obtained via dividing colors of an expressive face by those of a neutralface, pixels with ratio value smaller than one are where a wrinkle or crease appears. Therefore, thegradients of the ratio value at each pixel in ratio images are regarded as changes of a facesurface, and original normals on the surface can be adjusted according to these gradients. Based onthis idea, we can convert the ratio images into a sequence of normal maps and then apply them toanimated 3D model rendering. With the expression detail mapping, the resulted facial animations aremore life-like and more expressive.
In this paper, a facial animation system is proposed for capturing bothgeometrical information and illumination changes of surface details, called expression details, fromvideo clips simultaneously, and the captured data can be widely applied to different 2D face imagesand 3D face models. While tracking the geometric data, we record the expression details by ratioimages. For 2D facial animation synthesis, these ratio images are used to generate dynamic textures.Because a ratio image is obtained via dividing colors of an expressive face by those of a neutralface, pixels with ratio value smaller than one are where a wrinkle or crease appears. Therefore, thegradients of the ratio value at each pixel in ratio images are regarded as changes of a facesurface, and original normals on the surface can be adjusted according to these gradients. Based onthis idea, we can convert the ratio images into a sequence of normal maps and then apply them toanimated 3D model rendering. With the expression detail mapping, the resulted facial animations aremore life-like and more expressive.
