An automatic facial beautification method for video post-processing

Yifeng Zhou, Wensha Tian, Chengrong Yu, Bo Jiang, Sijiang Liu
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引用次数: 0

Abstract

The facial beautification is very popular nowadays. There are many photographic apps supporting the facial beautification function. However, the automatic beautification of human faces in a video is still relatively rare. In this paper, we present an automatic facial beautification method for video post-processing software. Firstly we use OpenCV and Dlib to detect the human’s face. Secondly we use Gaussian blur and median filtering to whiten the facial area. And then we use linear interpolation to add the decoration to the cheek. Lastly we enhance the lip’s color based on digital differential analyzer (DDA) and scan line algorithm. The method has been developed as a plugin for After Effects (AE). Experiments show that our method can achieve good results with no obvious artifacts and it’s easy to operate.
一种用于视频后处理的自动面部美化方法
现在美容很流行。有很多摄影应用支持面部美化功能。然而,视频中人脸的自动美化还是比较少见的。本文提出了一种用于视频后处理软件的自动人脸美化方法。首先使用OpenCV和Dlib对人脸进行检测。其次,我们使用高斯模糊和中值滤波对面部区域进行白化。然后我们使用线性插值来添加脸颊的装饰。最后利用数字差分分析仪(DDA)和扫描线算法增强唇色。该方法已被开发为AE (After Effects)插件。实验结果表明,该方法无明显伪影,操作简便。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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