Implementation of "Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection"
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Updated
Oct 5, 2020 - Python
Implementation of "Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection"
Repository for detection liveness of faces, thus can detect spoofing attacks.
Face detection model to classify either the face is spoof or not using MobileNet v2 SSD
This Repository is contain all my computer vision work
This repo proposes a spoofing detection system using Convolutional Neural Networks (CNN). The CNN model is very light-weight, easier and faster to load and run. It is ideally designed for real-time detection in embedded hardware.
Pytorch implementation of Depth Wise Convolution to perform the task of Face Spoofing Detection.
Face anti-spoofing detection web application using Node.js
Framework to perform PAD (Presentation Attack Detection) on Facial Recognition systems through intrinsic properties and Deep Neural Networks - Still Under Development
This is an official pytorch implementation of 'Effective Presentation Attack Detection Driven by Face Related Task'
The project is to recognize spoofing attack of faces using a normal flat camera without any extra sensors (such as depth, IR).
This repository contains a C++ application that demonstrates face recognition, 3D face liveness detection (anti-spoofing) capabilities using computer vision techniques. The SDK utilizes OpenCV and dlib libraries for efficient face detection and recognition.
Cork/Face Presentation Attack Detection
libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.
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