An automatic facial beautification method for video post-processing

Yifeng Zhou; Wensha Tian; Chengrong Yu; Bo Jiang; Sijiang Liu

doi:10.1117/12.2501849

26 July 2018 An automatic facial beautification method for video post-processing

Yifeng Zhou, Wensha Tian, Chengrong Yu, Bo Jiang, Sijiang Liu

Proceedings Volume 10828, Third International Workshop on Pattern Recognition; 108280X (2018) https://doi.org/10.1117/12.2501849
Event: Third International Workshop on Pattern Recognition, 2018, Jinan, China

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.

Citation Download Citation

Yifeng Zhou, Wensha Tian, Chengrong Yu, Bo Jiang, and Sijiang Liu "An automatic facial beautification method for video post-processing", Proc. SPIE 10828, Third International Workshop on Pattern Recognition, 108280X (26 July 2018); https://doi.org/10.1117/12.2501849

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