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Real-time face blending by automatic facial feature point detection

机译:通过自动面部特征点检测实时脸部混合

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In this demonstration, we present a real-time “face blending” method based on an automatic detection of facial feature points. The method can blend faces of two people and generate a morphing-like synthetic image. The system is composed of a PC and a web camera. It is able to create a natural blended image from an image from the web camera in real-time. First, fourteen types of facial feature points are detected automatically in both base and texture images. Then the correspondences of the feature points and those of a 3D generic facial shape model are calculated for both images. An intermediate image whose corresponding coordinates for the model are known is generated from the texture image. Finally the blended image is rendered using the generated intermediate image and the base image.
机译:在本演示中,我们介绍了一种基于面部特征点的自动检测的实时“面部混合”方法。该方法可以混合两个人的面部,并产生类似形式的合成图像。该系统由PC和Web摄像头组成。它能够实时地从网络摄像机的图像中创建自然混合图像。首先,在基础和纹理图像中自动检测到14种面部特征点。然后计算两个图像的特征点和3D通用面部形状模型的对应关系。从纹理图像生成型号的相应坐标的中间图像是已知的。最后,使用生成的中间图像和基本图像来呈现混合图像。

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