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Face deformation system based on active shape models ASM

机译:基于主动形状模型ASM的人脸变形系统

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This work shows a system oriented to generate a deformation and transformation of human faces between two images by applying Active Shape Models (ASM). The software was developed on Visual Studio and the free OpenCV libraries was used. The first step was to build an ASM model based on the Yao Wei's algorithm. To create the ASM model, the IMM face database, from the Technical University of Denmark, was used to train and build the model by applying an algorithm based on image pyramidal techniques. With the ASM, we create an algorithm to adjust both images to deform and transform one face into another. The deformation is performed by using Delaunay triangulation in the first frame of one image, and then, in a routine of 20 steps, the first face is deformed and averaged with the second face by doing weighted sum. The experimental results show a good performance on the deformation algorithm and the homographic transformations of each triangle in the mesh.
机译:这项工作显示了一个旨在通过应用活动形状模型(ASM)在两个图像之间生成人脸变形和变换的系统。该软件是在Visual Studio上开发的,并使用了免费的OpenCV库。第一步是基于Yao Wei算法建立ASM模型。为了创建ASM模型,丹麦技术大学的IMM人脸数据库通过应用基于图像金字塔技术的算法来训练和构建模型。使用ASM,我们创建了一种算法来调整两个图像以使其变形并将一个面转换为另一个面。通过在一个图像的第一帧中使用Delaunay三角剖分来执行变形,然后以20个步骤的例程通过加权和对第一张脸进行变形并与第二张脸进行平均。实验结果表明,该算法在变形算法和网格中每个三角形的单应变换上均具有良好的性能。

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