Related Products
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About
OpenFaceTracker is a facial recognition program capable to detect one or several faces on a picture or a video, and to identify them via a database. OpenFaceTracker needs OpenCV3.2 and QT4 installed on your machine, you’ve got two options, if you love compiling libraries by hand, please follow build_oft, and installing Opencv and QT using your favorite packaging tool. You can compile OFT as a library or you can compile it as a standalone binary file. You can then open the file and execute the detection and recognition module. You can show help and exit, show the list of all available cameras, you can test the XML DB, read from the OFT config, and check the environment. OpenFaceTrackerLib uses Opencv 3.2. This latter has introduced many new algorithms and features comparing to version 2.4. Some modules have been rewritten, some have been reorganized. Although most of the algorithms from 2.4 are still present, the interfaces can differ.
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About
Extend awareness of the power of 3D reconstruction from images and photogrammetry by developing a C++ framework. Simplify reproducible research with easy-to-read and accurate implementation of state of the art and "classic" algorithms. OpenMVG is designed to be easy to read, learn, modify and use. Thanks to its strict test-driven development and samples, the library allows to build trusted larger systems. OpenMVG provides an end-to-end 3D reconstruction from images framework compounded of libraries, binaries, and pipelines. The libraries provide easy access to features like images manipulation, features description and matching, feature tracking, camera models, multiple-view-geometry, robust-estimation, structure-from-motion algorithms, etc. The binaries solve unit tasks that a pipeline could require scene initialization, feature detection & matching and structure-from-motion reconstruction.
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Platforms Supported
Windows
Supported
Mac
Not Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Developers and enterprises interested in a facial recognition solution to detect one or several faces on a picture or a video
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Audience
Anyone seeking an open multiple view geometry library for 3D computer vision and structure from motion
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationOpenFaceTracker
Founded: 2017
www.openfacetracker.net
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Company InformationopenMVG
github.com/openMVG/openMVG
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Categories |
Categories |
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Integrations
No info available.
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Integrations
No info available.
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