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首页> 外文会议>Conference on Image Extraction, Segmentation, and Recognition Oct 22-24, 2001, Wuhan, China >A SCALABLE FACE SYNTHESIS ALGORITHM
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A SCALABLE FACE SYNTHESIS ALGORITHM

机译：可缩放的面部综合算法

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摘要

When enjoying videophone or distant learning, people want to see human face as real as possible even in very low bit rate. How to synthesis human face to deliver over network such as Internet and PSTN draws much attention. Conventional techniques based on low-level features cannot perform the desired operation. While model based method need much prior knowledge. The authors present a new algorithm for human face synthesis. It can give a virtual face based on human vision system for bit rate ranging from several kb/s to tens of KB/s. An Adaptive Face Image Filter(AFIF) is used to attenuate noise and preserve face edges as well as details. A facial region detection method detects those pixels that belong to a face. After that, with a novel facial texture interpolating method, the face is rendered in gray scale. Its key feature is a group of diffuse functions for interpolation. Then color is rendered to the whole face scalable.
机译：在享受可视电话或远程学习时，人们甚至希望以非常低的比特率看到尽可能真实的人脸。如何合成人脸以通过Internet和PSTN等网络进行传送备受关注。基于低级功能的常规技术无法执行所需的操作。基于模型的方法需要很多先验知识。作者提出了一种用于人脸合成的新算法。它可以提供基于人类视觉系统的虚拟面孔，比特率范围从几kb / s到数十KB / s。自适应人脸图像滤波器（AFIF）用于衰减噪声并保留人脸边缘以及细节。面部区域检测方法检测属于面部的那些像素。之后，通过一种新颖的面部纹理插值方法，将面部渲染为灰度。它的主要功能是一组用于插值的扩散函数。然后，颜色可缩放到整个面部。

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