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THREE-DIMENSIONAL FACE IMAGE RECONSTRUCTION METHOD AND APPARATUS, AND COMPUTER-READABLE STORAGE MEDIUM

机译:三维人脸图像重建方法和装置以及计算机可读存储介质

摘要

A three-dimensional face image reconstruction method, a three-dimensional face image reconstruction apparatus, a three-dimensional face image reconstruction hardware apparatus, and a computer-readable storage medium. The three-dimensional face image reconstruction method comprises: acquiring a real two-dimensional face key point and a predicted two-dimensional face key point (S1); iteratively optimizing expression coefficients by means of solving a first loss function composed of the real two-dimensional face key point, the predicted two-dimensional face key point and a preset additional regular constraint term, wherein the additional regular constraint term is used for constraining the expression coefficients, such that the expression coefficients characterize real states of a face (S2); and reconstructing a three-dimensional face image according to the expression coefficients (S3). Expression coefficients are iteratively optimized by means of solving a first loss function composed of a real two-dimensional face key point, a predicted two-dimensional face key point and a preset additional regular constraint term for constraining the expression coefficients, such that the expression coefficients can represent real states of a human face, thereby being capable of optimizing three-dimensional face image reconstruction technology and obtaining the real states of the face.
机译:三维面部图像重建方法,三维面部图像重建设备,三维面部图像重建硬件设备和计算机可读存储介质。该三维人脸图像重建方法包括:获取真实的二维人脸关键点和预测的二维人脸关键点(S1);通过求解由真实的二维人脸关键点,预测的二维人脸关键点和预设的附加正则约束项组成的第一损失函数来迭代地优化表达式系数,其中附加正则约束项用于约束表达系数,使得表达系数表征面部的真实状态(S2);根据所述表达系数重建三维人脸图像(S3)。通过求解由真实的二维面部关键点,预测的二维面部关键点和用于约束表达系数的预设的附加正则约束项组成的第一损失函数,迭代地优化表达系数。可以表示人脸的真实状态,从而能够优化三维人脸图像重建技术并获得人脸的真实状态。

著录项

  • 公开/公告号WO2020037863A1

    专利类型

  • 公开/公告日2020-02-27

    原文格式PDF

  • 申请/专利权人 BEIJING BYTEDANCE NETWORK TECHNOLOGY CO. LTD;

    申请/专利号WO2018CN117710

  • 发明设计人 CHEN ZHIXING;

    申请日2018-11-27

  • 分类号G06T7/50;

  • 国家 WO

  • 入库时间 2022-08-21 11:13:22

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