Face Skin Detection and Color Transferring

Authors

Fangfang Chen, Institute of Graphics and Image, Hangzhou Dianzi University, Hangzhou 310018, China;
Zhongping Ji, Institute of Graphics and Image, Hangzhou Dianzi University, Hangzhou 310018, China;

Abstract

Abstract: The reliable and accurate extraction of facial skin is a key and urgent problem for skin detection. This paper proposes a face alignment and GMM (Gaussian mixture model) to achieve face skin detection. We use the SCUT-FBP5500 face database, combined with SOM (self-organizing Maps) and K-means clustering method to cluster 9 pairs of facial features, and then use ResNet50 to predict face score. The color migration algorithm based on Lab space is used to migrate and edit the face color.The facts prove that the method has certain effect.

Recommended Citation

Chen, Fangfang and Ji, Zhongping (2019) "Face Skin Detection and Color Transferring," Journal of System Simulation: Vol. 31: Iss. 7, Article 15.
DOI: 10.16182/j.issn1004731x.joss.18-VR0744
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss7/15

First Page

1377

Revised Date

2018-11-05

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.18-VR0744

Last Page

1386

CLC

TP391

Recommended Citation

Chen Fangfang, Ji Zhongping. Face Skin Detection and Color Transferring[J]. Journal of System Simulation, 2019, 31(7): 1377-1386.

DOI

10.16182/j.issn1004731x.joss.18-VR0744