Tsukasa Nozawa, Takuya Kato, Pavel A. Savkin, N. Nozawa, S. Morishima
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引用次数: 0
摘要
野外环境下的三维人脸形状重建是计算机视觉和计算机视觉领域的一个重要研究课题。这是因为它可以应用于很多产品,比如3DCG视频游戏和人脸识别。基于三维模型的面部形状重建技术是目前最流行的三维面部形状重建技术之一。该方法利用主成分分析计算的三维人脸模型来逼近人脸形状。[Blanz and Vetter 1999]通过将单个人脸图像输入的人脸特征点拟合到模板三维人脸模型3D Morphable model的顶点,进行了三维人脸重建。只要能够检测到面部特征点,该方法可以从包含不同光照和面部方向的各种图像中重建面部形状。然而,结果的表示质量取决于3D模型的分辨率。
3D facial geometry reconstruction using patch database
3D facial shape reconstruction in the wild environments is an important research task in the field of CG and CV. This is because it can be applied to a lot of products, such as 3DCG video games and face recognition. One of the most popular 3D facial shape reconstruction techniques is 3D Model-based approach. This approach approximates a facial shape by using 3D face model, which is calculated by principal component analysis. [Blanz and Vetter 1999] performed a 3D facial reconstruction by fitting points from facial feature points of an input of single facial image to vertex of template 3D facial model named 3D Morphable Model. This method can reconstruct a facial shape from a variety of images which include different lighting and face orientation, as long as facial feature points can be detected. However, representation quality of the result depends on the number of 3D model resolution.