Since a long time, facial image synthesis has been a hot research topic in the fields of computer graphics, image process and computer vision.

长期以来，在计算机图形学、图像处理和计算机视觉这三个学科领域中，人脸的计算机模拟合成一直是个研究的热点。

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Besides image analysis and synthesis, model-based coding research still has an important direction to reconstruct an individual facial model.

除了图像分析合成，模型基编码中还有很重要的一个部分就是特定人脸模型的生成。

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This paper combines facial features extraction with image fusion algorithm, so that we can automatically obtain synthesis results without using 3d facial models.

该算法将人脸特征提取与图像复合相结合，无需3维人脸模型重建，自动合成具有源图像主要五官特征的结果图像。

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