Learning Generalized Deep Feature Representation for Face Anti-Spoofing

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

76 Scopus Citations
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Author(s)

  • Peisong He
  • Anderson Rocha
  • Xinghao Jiang
  • Alex C. Kot

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)2639-2652
Journal / PublicationIEEE Transactions on Information Forensics and Security
Volume13
Issue number10
Online published11 Apr 2018
Publication statusPublished - Oct 2018

Abstract

In this paper, we propose a novel framework leveraging the advantages of the representational ability of deep learning and domain generalization for face spoofing detection. In particular, the generalized deep feature representation is achieved by taking both spatial and temporal information into consideration, and a 3D convolutional neural network architecture tailored for the spatial-temporal input is proposed. The network is first initialized by training with augmented facial samples based on cross-entropy loss and further enhanced with a specifically designed generalization loss, which coherently serves as the regularization term. The training samples from different domains can seamlessly work together for learning the generalized feature representation by manipulating their feature distribution distances. We evaluate the proposed framework with different experimental setups using various databases. Experimental results indicate that our method can learn more discriminative and generalized information compared with the state-of-the-art methods.

Research Area(s)

  • 3D CNN, deep learning, domain generalization, Face spoofing

Citation Format(s)

Learning Generalized Deep Feature Representation for Face Anti-Spoofing. / Li, Haoliang; He, Peisong; Wang, Shiqi; Rocha, Anderson; Jiang, Xinghao; Kot, Alex C.

In: IEEE Transactions on Information Forensics and Security, Vol. 13, No. 10, 10.2018, p. 2639-2652.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review