Diffusion-based kernel matrix model for face liveness detection

作者：

Highlights：

• Face liveness detection by diffusion kernel features and deep features

• Kernel features can capture the inner correlation of the face images in the video.

• The proposed method outperforms the state-of-art face liveness detection methods.

摘要

•Face liveness detection by diffusion kernel features and deep features•Kernel features can capture the inner correlation of the face images in the video.•The proposed method outperforms the state-of-art face liveness detection methods.

论文关键词：Face liveness detection,Anisotropic diffusion,Kernel matrix model,DK feature

论文评审过程：Received 11 February 2018, Revised 30 March 2019, Accepted 27 June 2019, Available online 3 July 2019, Version of Record 30 July 2019.

论文官网地址：https://doi.org/10.1016/j.imavis.2019.06.009