Who Uses OpenCV?
Most computer scientists and practical programmers are aware of some facet of the role
that computer vision plays. But few people are aware of all the ways in which computer
vision is used. For example, most people are somewhat aware of its use in surveillance,
and many also know that it is increasingly being used for images and video on the Web.
A few have seen some use of computer vision in game interfaces. Yet few people realize
that most aerial and street-map images (such as in Google’s Street View) make heavy use
of camera calibration and image stitching techniques. Some are aware of niche
applications in safety monitoring, unmanned aerial vehicles, or biomedical analysis. But
few are aware how pervasive machine vision has become in manufacturing: virtually
everything that is mass-produced has been automatically inspected at some point using
computer vision.
The BSD [BSD] open source license for OpenCV has been structured such that you can
build a commercial product using all or part of OpenCV. You are under no obligation to
open-source your product or to return improvements to the public domain, though we
hope you will. In part because of these liberal licensing terms, there is a large user
community that includes people from major companies (Google, IBM, Intel, Microsoft,
Nvidia, SONY, and Siemens, to name only a few) and research centers (such as Stanford,
MIT, CMU, Cambridge, Georgia Tech and INRIA). OpenCV is also present on the web
for users at http://opencv.org, a website that hosts documentation, developer information,
and other community resources including links to compiled binaries for various
platforms. For vision developers, code, development notes and links to GitHub are at
http://code.opencv.org. User questions are answered at
http://answers.opencv.org/questions/ but there is still the original Yahoo groups user
forum at http://groups.yahoo.com/group/OpenCV; it has almost 50,000 members.
OpenCV is popular around the world, with large user communities in China, Japan,
Russia, Europe, and Israel. OpenCV has a Facebook page at
https://www.facebook.com/opencvlibrary.
Since its alpha release in January 1999, OpenCV has been used in many applications,
products, and research efforts. These applications include stitching images together in
satellite and web maps, image scan alignment, medical image noise reduction, object
analysis, security and intrusion detection systems, automatic monitoring and safety
systems, manufacturing inspection systems, camera calibration, military applications, and
unmanned aerial, ground, and underwater vehicles. It has even been used in sound and
music recognition, where vision recognition techniques are applied to sound spectrogram
images. OpenCV was a key part of the vision system in the robot from Stanford,
“Stanley”, which won the $2M DARPA Grand Challenge desert robot race [Thrun06],
and continues to play an important part in other many robotics challenges.
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