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Proceedings Paper

An automatic facial beautification method for video post-processing
Author(s): Yifeng Zhou; Wensha Tian; Chengrong Yu; Bo Jiang; Sijiang Liu
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Paper 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.

Paper Details

Date Published: 26 July 2018
PDF: 7 pages
Proc. SPIE 10828, Third International Workshop on Pattern Recognition, 108280X (26 July 2018); doi: 10.1117/12.2501849
Show Author Affiliations
Yifeng Zhou, Nanjing Univ. of Posts and Telecommunications (China)
Wensha Tian, Nanjing Univ. of Posts and Telecommunications (China)
Chengrong Yu, Nanjing Univ. of Posts and Telecommunications (China)
Bo Jiang, Nanjing Univ. of Posts and Telecommunications (China)
Sijiang Liu, Nanjing Univ. of Posts and Telecommunications (China)


Published in SPIE Proceedings Vol. 10828:
Third International Workshop on Pattern Recognition
Xudong Jiang; Zhenxiang Chen; Guojian Chen, Editor(s)

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