针对医学美容以及数字娱乐领域中的特定应用，提出了基于图像的人脸五官替换算法。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。系统允许用户调整权重，在源五官与目标五官间进行插值，控制结果图像与二者的相似程度。进一步地，以鼻子附近的拉普拉斯算子为约束，求解泊松方程以去除阴影影响。实验结果表明，该算法效率高，合成效果达到了实用的要求。

This paper presents an image-based human face fusion algorithm，which can be used in medicinal beauty and digital entertainment areas.This paper combines facial features extraction with image fusion algorithm，so that we can automatically obtain synthesis results without using 3D facial models.Our system allows users to adjust the interpolation weights between source image and target image to control the similarity degree.Furthermore，we use Laplacian as constraints to reduce shadows near the nose.The experiment results show that our algorithm is efficient enough for practical demands.