Fair comparison of skin detection approaches on publicly available datasets
作者：
Highlights：
• Skin detection methods and applications are comprehensively reviewed.
• A rough classification of the methods tested in this work is proposed.
• Most common benchmarks and testing protocols are discussed and summarized.
• Performances are evaluated on 10 datasets using 14 methods.
• Insightful discussions and prospects for future work are given.
摘要
•Skin detection methods and applications are comprehensively reviewed.•A rough classification of the methods tested in this work is proposed.•Most common benchmarks and testing protocols are discussed and summarized.•Performances are evaluated on 10 datasets using 14 methods.•Insightful discussions and prospects for future work are given.
论文关键词：Skin classification,Skin detection,Skin segmentation,Skin database
论文评审过程：Received 10 December 2019, Revised 3 June 2020, Accepted 17 June 2020, Available online 28 June 2020, Version of Record 6 July 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113677
