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Description
OpenFaceTracker is a facial recognition application designed to recognize one or more faces in images or videos by using a database for identification. To run OpenFaceTracker, your system must have OpenCV 3.2 and QT4 installed; you can either compile the libraries manually by following build_oft or install OpenCV and QT through your preferred package manager. You have the option to compile OpenFaceTracker either as a library or as a standalone executable. Once compiled, you can open the resulting file to utilize the detection and recognition features, display help and exit options, list all available cameras, test the XML database, read the configuration settings, and verify environmental parameters. OpenFaceTrackerLib is built on OpenCV 3.2, which has brought numerous new algorithms and enhancements compared to version 2.4, with several modules being restructured and rewritten. While most algorithms from version 2.4 remain available, the interfaces may vary, necessitating users to familiarize themselves with the changes. Ultimately, OpenFaceTracker offers a versatile solution for facial recognition tasks across various platforms.
Description
Enhance the understanding of 3D reconstruction capabilities from images and photogrammetry by creating a C++ framework. Facilitate reproducible research through an easily comprehensible and precise implementation of both contemporary and traditional algorithms. OpenMVG is crafted to be user-friendly, allowing for straightforward reading, learning, modification, and application. With its rigorous test-driven development and comprehensive samples, the library empowers users to construct reliable larger systems. OpenMVG encompasses a complete framework for 3D reconstruction from images, comprising various libraries, executables, and processing pipelines. The libraries grant seamless access to functionalities such as image manipulation, feature description and matching, camera models, feature tracking, robust estimation, and multiple-view geometry. The executables address specific tasks required by a pipeline, including scene initialization, feature detection, matching, and the reconstruction process known as structure-from-motion. Furthermore, this versatility makes OpenMVG a valuable tool for both beginners and seasoned researchers in the field.
API Access
Has API
Yes
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
OpenFaceTracker
Founded
2017
Website
www.openfacetracker.net
Vendor Details
Company Name
openMVG
Website
github.com/openMVG/openMVG