Learn Convolutional Neural Network for Face Anti-Spoofing

Abstract

Though having achieved some progresses, the hand-crafted texture features, e.g., LBP [23], LBP-TOP [11] are still unable to capture the most discriminative cues between genuine and fake faces. In this paper, instead of designing feature by ourselves, we rely on the deep convolutional neural network (CNN) to learn features of high discriminative ability in a supervised manner. Combined with some data pre-processing, the face anti-spoofing performance improves drastically. In the experiments, over 70% relative decrease of Half Total Error Rate (HTER) is achieved on two challenging datasets, CASIA [36] and REPLAY-ATTACK [7] compared with the state-of-the-art. Meanwhile, the experimental results from inter-tests between two datasets indicates CNN can obtain features with better generalization ability. Moreover, the nets trained using combined data from two datasets have less biases between two datasets.

8 pages, 9 figures, 7 tables

Cited by in corpus (51)

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• Deep Face Recognition: A Survey
• NAS-FAS: Static-Dynamic Central Difference Network Search for Face Anti-Spoofing
• Use of a Capsule Network to Detect Fake Images and Videos
• Instance-Aware Domain Generalization for Face Anti-Spoofing
• DRL-FAS: A Novel Framework Based on Deep Reinforcement Learning for Face Anti-Spoofing
• Learning Meta Pattern for Face Anti-Spoofing
• Exploiting temporal and depth information for multi-frame face anti-spoofing
• Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision
• Learning Generalized Spoof Cues for Face Anti-spoofing
• Searching Central Difference Convolutional Networks for Face Anti-Spoofing
• Single-Side Domain Generalization for Face Anti-Spoofing
• Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing
• Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing
• A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing
• CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing
• Cross-domain Face Presentation Attack Detection via Multi-domain Disentangled Representation Learning
• Face Anti-Spoofing Via Disentangled Representation Learning
• Face De-Spoofing: Anti-Spoofing via Noise Modeling
• Deep Tree Learning for Zero-shot Face Anti-Spoofing
• Learning deep forest with multi-scale Local Binary Pattern features for face anti-spoofing
• AdvFAS: A robust face anti-spoofing framework against adversarial examples
• On Disentangling Spoof Trace for Generic Face Anti-Spoofing
• Revisiting Pixel-Wise Supervision for Face Anti-Spoofing
• Deep Learning for Face Anti-Spoofing: A Survey
• Physics-Guided Spoof Trace Disentanglement for Generic Face Anti-Spoofing
• Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing
• A Compact Deep Learning Model for Face Spoofing Detection
• A Survey On Anti-Spoofing Methods For Face Recognition with RGB Cameras of Generic Consumer Devices
• FaceSpoof Buster: a Presentation Attack Detector Based on Intrinsic Image Properties and Deep Learning
• Dual Reweighting Domain Generalization for Face Presentation Attack Detection
• Improving Face Anti-Spoofing by 3D Virtual Synthesis
• Regularized Fine-grained Meta Face Anti-spoofing
• Two-stream Convolutional Networks for Multi-frame Face Anti-spoofing
• Attacking CNN-based anti-spoofing face authentication in the physical domain
• Specular- and Diffuse-reflection-based Face Spoofing Detection for Mobile Devices
• Joint Learning of Generative Translator and Classifier for Visually Similar Classes
• Consistency Regularization for Deep Face Anti-Spoofing
• Uncertainty-Aware Physically-Guided Proxy Tasks for Unseen Domain Face Anti-spoofing
• Suppressing Spoof-irrelevant Factors for Domain-agnostic Face Anti-spoofing
• Audio-replay attack detection countermeasures
• Spoof Face Detection Via Semi-Supervised Adversarial Training
• PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-Spoofing
• Use of in-the-wild images for anomaly detection in face anti-spoofing
• Replay Spoofing Countermeasure Using Autoencoder and Siamese Network on ASVspoof 2019 Challenge
• Discriminative Representation Combinations for Accurate Face Spoofing Detection
• A Review of Web Infodemic Analysis and Detection Trends across Multi-modalities using Deep Neural Networks
• Unseen Face Presentation Attack Detection Using Class-Specific Sparse One-Class Multiple Kernel Fusion Regression
• Meta-Teacher For Face Anti-Spoofing
• On effective human robot interaction based on recognition and association
• Camera Invariant Feature Learning for Generalized Face Anti-spoofing