摘要
本文基于Android平台获取二维人物图像,使用face++提供的人脸特征点提取SDK对输入照片的人脸特征点进行自动定位来提取二维人物图像的人脸特征点,根据所提取的特征点使用自适应算法进行调整,生成与二维人物图像相适应的三维面部模型。与一般的调整算法相比,本文针对存在角度的二维人物图像提出生成其对应三维面部模型的自适应调整算法。
This article is based on the Android platform for 2D image characters.The face feature point extraction SDK provided by face++is used to automatically locate the face feature points of the input photos,which is used to extract the face feature points of 2d character images.According to the extracted feature points,the adaptive algorithm is used to generate the three-dimensional face model that is suitable for the two-dimensional character image.Compared with the general adjustment algorithm,this paper proposes an adaptive adjustment algorithm to generate the corresponding 3D face model for 2D character images with existing angles.
作者
肖业清
赵宣容
XIAO Yeqing;ZHAO Xuanrong(Sichuan Top IT Vocational Institute,Chengdu Sichuan 611743,China)
出处
《信息与电脑》
2021年第1期50-52,共3页
Information & Computer
基金
2014 CCF-腾讯犀牛鸟基金项目(负责人:肖业清,项目编号:CCF-TencentIAGR20150111)。