首页> 外国专利> Method for aligning face image of person e.g. for detection of face features, involves training appearance model component with training data to estimate score function and to minimize angle between gradient- and ideal way directions

Method for aligning face image of person e.g. for detection of face features, involves training appearance model component with training data to estimate score function and to minimize angle between gradient- and ideal way directions

机译:对准人的面部图像的方法用于检测面部特征,涉及使用训练数据训练外观模型组件,以估计得分函数并最小化坡度方向和理想方向之间的角度

摘要

The method involves acquiring a face image of a person, and aligning a generic lattice face in the face image using a discriminative face alignment model that comprises generative form and discriminative appearance model components. The appearance model component is trained with a training data to estimate a score function that is formed as a function of a form parameter (28) of a given image and to minimize an angle (36) between a gradient direction (32) of the score function and an ideal way direction of alignment for the parameter, where the way direction represents a vector (34). Independent claims are also included for the following: (1) a system for aligning a face image of a person (2) a product comprising a set of instructions for executing a method for aligning a face image of a person.
机译:该方法包括获取人的面部图像,并使用包括生成形式和判别性外观模型组件的判别性面部对准模型在面部图像中对准普通格状面部。使用训练数据对外观模型组件进行训练,以估计得分函数,该得分函数根据给定图像的形状参数(28)形成,并使得分的坡度方向(32)之间的角度(36)最小化函数和参数的理想对齐方式,其中方式表示向量(34)。还包括针对以下方面的独立权利要求:(1)用于对准人的面部图像的系统(2)产品,该产品包括用于执行用于对准人的面部图像的方法的一组指令。

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