A separated linear shape and texture space for modeling two-dimensional images of human faces
A separated linear shape and texture space for modeling two-dimensional images of human faces
复制标题
用于建模人脸二维图像的分离的线性形状和纹理空间
DOI：
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复制
发表时间：
1995
期刊：
影响因子：
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通讯作者：
N. Troje
中科院分区：
文献类型：
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作者：
T. Vetter;N. Troje
人类的脸在形状和质地上有所不同。本文描述了一种基于二维形状和纹理自动分离的人脸灰度图像表示方法。利用不同图像之间的点对应关系进行分离，这是通过光流计算中已知的算法建立的。单独的纹理和形状空间的线性描述允许对人脸进行平滑建模。图中显示了一小组50张人脸的主轴上的人脸图像。我们还使用数据集中剩余的49张人脸重建人脸图像。这些重建是将图像投影到由其他面孔的纹理和形状所跨越的空间中。
Human faces differ in shape and texture. This paper describes a representation of grey-level images of human faces based on an automated separation of two-dimensional shape and texture. The separations were done using the point correspondence between the different images, wich was established through algorithms known from optical flow computation. A linear description of the separate texture and shape spaces allows a smooth modeling of human faces. Images of faces along the principal axes of a small set of 50 faces are shown. We also reconstruct images of faces using the 49 remaining faces in our data set. These reconstructions are the projections of an image into the space spanned by the textures and shapes of the other faces.