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Axis Camera Opencv
- A chamber or round building
- A camera is a device that records/stores images. These images may be still photographs or moving images such as videos or movies. The term camera comes from the camera obscura (Latin for "dark chamber"), an early mechanism for projecting images. The modern camera evolved from the camera obscura.
- television camera: television equipment consisting of a lens system that focuses an image on a photosensitive mosaic that is scanned by an electron beam
- equipment for taking photographs (usually consisting of a lightproof box with a lens at one end and light-sensitive film at the other)
- OpenCV is a computer vision library originally developed by Intel. It is free for use under the open source BSD license. The library is cross-platform. It focuses mainly on real-time image processing.
- OpenCVS is a BSD-licensed implementation of the popular Unix version control software called Concurrent Versions System. OpenCVS is developed as a part of the OpenBSD project by Jean-Francois Brousseau, Joris Vink, Xavier Santolaria, Niall O'Higgins and others.
- An imaginary line about which a body rotates
- An imaginary straight line passing through the center of a symmetrical solid, and about which a plane figure can be conceived as rotating to generate the solid
- An imaginary line that divides something into equal or roughly equal halves, esp. in the direction of its greatest length
- the main stem or central part about which plant organs or plant parts such as branches are arranged
- a straight line through a body or figure that satisfies certain conditions
- in World War II the alliance of Germany and Italy in 1936 which later included Japan and other nations; "the Axis opposed the Allies in World War II"
Learning OpenCV: Computer Vision with the OpenCV Library
"This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."
-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology
Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable computers to "see" and make decisions based on that data.
Computer vision is everywhere-in security systems, manufacturing inspection systems, medical image analysis, Unmanned Aerial Vehicles, and more. It stitches Google maps and Google Earth together, checks the pixels on LCD screens, and makes sure the stitches in your shirt are sewn properly. OpenCV provides an easy-to-use computer vision framework and a comprehensive library with more than 500 functions that can run vision code in real time.
Learning OpenCV will teach any developer or hobbyist to use the framework quickly with the help of hands-on exercises in each chapter. This book includes:
A thorough introduction to OpenCV
Getting input from cameras
Segmenting images and shape matching
Pattern recognition, including face detection
Tracking and motion in 2 and 3 dimensions
3D reconstruction from stereo vision
Machine learning algorithms
Getting machines to see is a challenging but entertaining goal. Whether you want to build simple or sophisticated vision applications, Learning OpenCV is the book you need to get started.
OpenCV Gui Error Handler
OpenCV GUI Error Handler
[ x ]
Incorrect size of input array (Non-positive cols or rows)
in function cvInitMatHeader, C:UserVPopencvcxcoresrccxarray.cpp(182)
Press "Abort" to terminate application.
Press "Retry" to debug (if the app is running under deber).
Press "Ignore" to contune (this is not safe).
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This video is the output of my JavaCV experimentation. Excuse the poor video quality.
JavaCV provides wrappers to commonly used libraries by researchers in the field of computer vision such as OpenCV.
axis camera opencv
This is a cookbook that shows results obtained on real images with detailed explanations and the relevant screenshots. The recipes contain code accompanied with suitable explanations that will facilitate your learning. If you are a novice C++ programmer who wants to learn how to use the OpenCV library to build computer vision applications, then this cookbook is appropriate for you. It is also suitable for professional software developers wishing to be introduced to the concepts of computer vision programming. It can be used as a companion book in university-level computer vision courses. It constitutes an excellent reference for graduate students and researchers in image processing and computer vision. The book provides a good combination of basic to advanced recipes. Basic knowledge of C++ is required.
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