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METHOD, SYSTEM, AND COMPUTER-READABLE MEDIUM FOR USING FACE ALIGNMENT MODEL BASED ON MULTI-TASK CONVOLUTIONAL NEURAL NETWORK-OBTAINED DATA

机译:用于使用基于多任务卷积神经网络获得的数据的面向对准模型的方法,系统和计算机可读介质

摘要

A method includes receiving a facial image; receiving a facial image; and obtaining, using a multi-task convolutional neural network, a detected face location and a facial characteristic category set of a plurality of first facial characteristic categories; selecting a first face alignment model from a plurality of face alignment models based on the facial characteristic category set; and obtaining, using the first face alignment model, a plurality of facial landmarks. The first facial characteristic categories are arranged hierarchically. A hierarchy of the first facial characteristic categories includes a plurality of first levels corresponding to a plurality of corresponding facial characteristics. The facial characteristic category set includes the first facial characteristic categories of a path of the hierarchy of the first facial characteristic categories.
机译:一种方法包括接收面部图像;接受面部图像;并使用多任务卷积神经网络,检测的面部位置和多个第一面部特征类别的面部特征类别组;根据面部特征类别设置从多个面向对准模型中选择第一面对准模型;并使用第一面向对准模型,多个面部地标。第一个面部特征类别分层排列。第一面部特征类别的层次结构包括对应于多个相应的面部特性的多个第一电平。面部特征类别集包括第一面部特征类别的层次结构的第一面部特征类别。

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