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.
Implementation of "Deep Pixel-wise Binary Supervision for Face Presentation Attack 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 detection model to classify either the face is spoof or not using MobileNet v2 SSD
Face anti-spoofing detection web application using Node.js
This Repository is contain all my computer vision work
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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