Repository for detection liveness of faces, thus can detect spoofing attacks.
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Updated
Jul 24, 2022 - Python
Repository for detection liveness of faces, thus can detect spoofing attacks.
Pytorch implementation of Depth Wise Convolution to perform the task of Face Spoofing Detection.
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.
Face anti-spoofing detection web application using Node.js
This Repository is contain all my computer vision work
Face detection model to classify either the face is spoof or not using MobileNet v2 SSD
The project is to recognize spoofing attack of faces using a normal flat camera without any extra sensors (such as depth, IR).
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'
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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