Showing 5 open source projects for "opencv-mingw"

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  • 1
    ArUco

    ArUco

    Augmented reality library based on OpenCV

    ArUco is a minimal library for Augmented Reality applications based exclusively on OpenCV. Relies on b/w markers with codes that are detected by calling a single function. Trivial integration of your augmented reality applications with OpenGL and OGRE. See documentation at https://drive.google.com/file/d/1OiavRVYVJ-WH88sQg1LUsh8CuJZUQyrX/view?usp=sharing
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    Downloads: 252 This Week
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  • 2
    HMD testbed - augmented reality test

    HMD testbed - augmented reality test

    test head mounted display for Augmented Reality applications

    ...Uva Giuseppe Monno, Augmented Reality Text Style Readability with See-Through Head-Mounted Displays In Industrial Context, Presence, Vol. 22, No. 2, Spring 2013, 000–000 doi:10.1162/PRES_a_00146 Developer: Michele Fiorentino Required Libs Needed: QT 4.8, OPENCV Free software
    Downloads: 0 This Week
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  • 3
    QVision: Computer Vision Library for Qt

    QVision: Computer Vision Library for Qt

    Computer vision and image processing library for Qt.

    ...The library also provides classes for several data types usually required by computer vision and image processing applications such as vectors, matrices, quaternions and images. Thanks to a large number of wrapper functions these objects can be used with highly efficient functionality from third party libraries such as OpenCV, GNU Scientific Library, Computational Geometry Algorithms Library, Intel's Math Kernel Library and Integrated Performance Primitives, the Octave library, etc...
    Downloads: 1 This Week
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  • 4
    OpenCV-AR
    OpenCV-AR is a software library used for Augmented Reality development. It is targeted on Linux, though it is also able to work on Windows platform. It is an alternative to ARToolKit for Augmented Reality application development.
    Downloads: 0 This Week
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  • 5
    A new academic framework for augmented reality based on QVision and OpenCV. The project includes augmented reality detectors based on black&white patterns and natural features.
    Downloads: 0 This Week
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