Division of Applied Science Harvard University.
J Cogn Neurosci. 1991 Winter;3(1):59-70. doi: 10.1162/jocn.1991.3.1.59.
We describe an approach for extracting facial features from images and for determining the spatial organization between these features using the concept of a deformable template. This is a parameterized geometric model of the object to be recognized together with a measure of how well it fits the image data. Variations in the parameters correspond to allowable deformations of the object and can be specified by a probabilistic model. After the extraction stage the parameters of the deformable template can be used for object description and recognition.
我们描述了一种从图像中提取面部特征并使用可变形模板的概念确定这些特征之间的空间组织的方法。这是要识别的对象的参数化几何模型以及它与图像数据拟合程度的度量。参数的变化对应于对象的允许变形，并且可以通过概率模型来指定。在提取阶段之后，可变形模板的参数可用于对象描述和识别。
