Open Source Linux Facial Recognition Software - Page 2

Libface is a cross platform framework for developing face recognition algorithms and testing its performance.

Research on automatic face recognition in images has rapidly developed into several inter-related lines, and this research has both lead to and been driven by a disparate and expanding set of commercial applications. The large number of research activities is evident in the growing number of scientific communications published on subjects related to face processing and recognition. Index Terms: face, recognition, eigenfaces, eigenvalues, eigenvectors, Karhunen-Loeve algorithm.

Face recognition with HMM.

戴口罩也變識得出的face recognition 將大頭照放images 下, 用人名命名 主畫面,點選encoding,將人臉特徵編碼 就可以在即時的webcam畫面看到便識結果 Face recognition that can be learned by wearing a mask Put the photo under images and name it Main screen, click encoding to encode facial features You can see the result of the recognition on the real-time webcam screen

Ivolution is a face timelapse generator. Feed it with a bunch of images and it will generate a movie with your face centered on the screen. Ivolution uses face detection and modifies the images so that your face always keeps the same size and location over the movie. Images are processed in chronological order, so that you can see your face evoluate over time !

Compression of face images impact the performance of face recognition (FR) systems. JPEG Region of Interest (JROI) compression maintains high image quality in facial regions while compressing the background more, with minimal impact on FR performance.

The purpose of this project is to provide a biometric security solution by using voice print, fingerprint and/or facial recognition along with a password and/or smart card support using AES to protect data. Please read forums for if interested.

This is a free and open-source liveliness check and face recognition project. Essentially, it is an application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use. The application is customizable react based mobile friendly UI and Python based backend. The program is a real-time face detection application. It allows you to detect faces using your webcam and displays the video feed with oval drawn around the detected faces. When you run the program, a GUI window will appear. The window appears to do liveliness check and face detection. The description guides you to adjust the settings and click the "Start" button to begin face detection. If user's pic is in DB, it will show the matching name or else you can upload your pic with name to do detection. Application has many uses like door lock, attendance system or any similar identification usages. Face Recognition is highly accurate and simplest application

An open source face recognition project.

Meihu beauty sdk is a mobile sdk with face recognition technology as the core, providing professional-grade real-time beauty, big eyes and face reduction, beauty filters, dynamic stickers and other filters, to create a multi-functional video beauty software The goal is to fully meet the beautification needs of customers in many audio and video software business scenarios such as live beauty and short video beauty. The open source version is now available for iOS, and the Android open source version is under development, so stay tuned!

Face Recognition web app built on Python using Flask. Students' final project.

The development of a biometric system and applications e.g. Access Control based on the system to recognize and verify people. The primary goal is face recognition, but other human attributes might get used too in the future.

The OpenCV DLLCapture project goal is to provide an easy way for using the Intel OpenCV library face recognition feature within custom built applications.

Face Detection and Recognition using Intel's OpenCV library

The site says "Malware detected but NOT TRUE", it's just encrypted! Free Source Code Live Face Detection via Web Camera from OpenCvSharp 3.4.5 with CUDA + TBB Original clean source code structure with FREE binary test. reach out .BIN folder for direct tryout(0penCvSharp345.Cuda.x86.FaceDetect.EXE) Other FOLDER contains Face Recognition of OpenCvSharp410, no CUDA! FOR full source code of ****FACE RECOGNITION**** _ OpenCvSharp4.1.0(released date:April_17_2019), 64 Bit,,,, please donate $54 https://www.paypal.me/SoftwareCode/54 mail dbinxecod@gmail.com for direct link download source code

OpenFace is a Python and Torch implementation of face recognition with deep neural networks and is based on the CVPR 2015 paper FaceNet: A Unified Embedding for Face Recognition and Clustering by Florian Schroff, Dmitry Kalenichenko, and James Philbin at Google. Torch allows the network to be executed on a CPU or with CUDA. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google, Vodafone, NVIDIA, and the Conklin Kistler family fund. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and should not be attributed to their employers or funding sources. Accuracies from research papers have just begun to surpass human accuracies on some benchmarks. The accuracies of open source face recognition systems lag behind the state-of-the-art. See our accuracy comparisons on the famous LFW benchmark.

A modern, web-based photo management server. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, face recognition, location awareness, color analysis and other ML algorithms. This project is currently in development and not feature complete for a version 1.0 yet. If you don't mind putting up with broken parts or want to help out, run the Docker image and give it a go. I'd love for other contributors to get involved. You can move some photos into the folder data/photos and they should get detected and imported immediately. Once you have finished trying out the system you can edit the volume in the docker-compose.yml file where it says ./data/photos to mount wherever you usually keep photos. System database, thumbnails and other cache data is stored separately from the photos so shouldn't pollute the area. You are responsible for keeping your own backups in case of error.

StReAV is a software which runs on Linux, loaded onto a PDA/handheld, into which the an audio and video capturing tool which could be easily clamped onto the collar of a shirt is connected. Capture or stream your video, even use it for face recognition.

StarTrinity Face Recognition Library is designed for biometric face login in web-based solutions. The library Allows you to use human face as a password to authorize at your web site Can be integrated into any ASP.NET or PHP web application Is based on Silverlight 4 runtime, detects and verifies face in real time Supports DirectShow-compatible web cameras. Offers the API to detect face, build pattern of face and match face with pattern Uses cloud server to build and store facial patterns Accuracy is up to 99% since version 1.2 (FAR 0%, TRR 99%)

WHAY is a Video-based Face Recognition tool written in MATLAB. It aims to exploits PCA recognizing as better as possible and tests the limits of this approach.

WRChat is a fast and lightweight single room chat system for the web where lots of people can join in and talk to each other. Its main features are: Frames , Newest messages first, ASCII happy face recognition, User registration, preferences, internal mai

Artificial neural network with eigenfaces for face recognition

Active Shape/Appearance Model Library (ASMLibrary/AAMLibrary) source code, which includes ASMBuilding/AAMBuilding as well as ASMFitting/AAMFitting algorithm. It is developped under OpenCV 1.0 for locating features in a face and face recognition.

Face recognition using BPNN. Contains 1.Face recognition using Back propagation neural network (customize code) code using matlab. 2. Face recognition using Back propagation network (builtin) code using matlab.Project closed for now,Adeel Raza Azeemi

1>Face Recognition on real-time based. 2>shirt -color recognition on image based.