/anti-spoofing-of-rppg

the implement of 3D Mask Face Anti-spoofing with Remote Photoplethysmography

Primary LanguagePython

anti-spoofing-of-rppg

the implement of 3D Mask Face Anti-spoofing with Remote Photoplethysmography

English|中文 )

Introduction of project

  • config.py

    • Contains all the settings we need to configure

  • rPPG_GUI.py

    • Entry function
    • ompleted the design of GUI interface
    • Detect if it is spoofing(Just a simple judgment, there is no data set, so SVM training is not used.)

  • rPPG_preprocessing.py

    • Image preprocessing, face detection

  • rPPG_processing_realtime.py

    • Extract rppg signals by fftlength's preprocessed photos

  • rPPG_Extracter.py

    • Take a picture and detect the face, then count he RGB components of the face and find the average, finally cache them in self.rPPG

  • FaceDetection.py

    • Face detection, we uses key point detection function of it

  • Processing

    • Run the program (rPPG_GUI.py) to collect photos by camera or video collected , perform face detection on the photos (rPPG_preprocessing.py), and extract the average of RGB components (rPPG_Extracter.py). After preprocessing specified number (fftlength) photos, perform fft analysis and extraction rppg signal (rPPG_processing_realtime.py). Sliding window continuously extracts the signal and displays

  • Run

    • Check if your camera is working by cheese command in linux bash
    • Configure config.py
    • run rPPG_GUI.py

  • run rPPG_GUI.py

    • python3 rPPG_GUI.py

  • reference

    • Remote Photoplethysmography Correspondence Feature for 3D Mask Face Presentation Attack Detection
    • Generalized face anti-spoofing by detecting pulse from face videos

  • the implement of Face Anti-Spoofing Using Patch and Depth-Based CNNs