Face deformation system based on active shape models ASM

F. C. H. Esparza, S. J. P. Tinoco, R. C. A. Pabon
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引用次数: 1

Abstract

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.
基于主动形状模型的人脸变形系统
本研究展示了一个应用主动形状模型(ASM)在两幅图像之间生成人脸变形和转换的系统。该软件是在Visual Studio上开发的,使用了免费的OpenCV库。第一步是基于姚伟的算法建立ASM模型。为了创建ASM模型,使用了来自丹麦技术大学的IMM人脸数据库,通过基于图像金字塔技术的算法来训练和构建模型。利用ASM,我们创建了一种算法来调整两个图像的变形,并将一个人脸转换为另一个人脸。首先在一张图像的第一帧中使用Delaunay三角剖分进行变形,然后在20步的程序中,对第一张人脸进行变形,并通过加权和对第二张人脸进行平均。实验结果表明,变形算法和网格中各三角形的同形变换具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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