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  2. Harris corner detector - Wikipedia

    en.wikipedia.org/wiki/Harris_corner_detector

    The Harris corner detector is a corner detection operator that is commonly used in computer vision algorithms to extract corners and infer features of an image. It was first introduced by Chris Harris and Mike Stephens in 1988 upon the improvement of Moravec's corner detector. [1]

  3. OpenCV - Wikipedia

    en.wikipedia.org/wiki/OpenCV

    The first alpha version of OpenCV was released to the public at the IEEE Conference on Computer Vision and Pattern Recognition in 2000, and five betas were released between 2001 and 2005. The first 1.0 version was released in 2006. A version 1.1 "pre-release" was released in October 2008. The second major release of the OpenCV was in October 2009.

  4. Homography (computer vision) - Wikipedia

    en.wikipedia.org/wiki/Homography_(computer_vision)

    homest is a GPL C/C++ library for robust, non-linear (based on the Levenberg–Marquardt algorithm) homography estimation from matched point pairs (Manolis Lourakis). OpenCV is a complete (open and free) computer vision software library that has many routines related to homography estimation (cvFindHomography) and re-projection ...

  5. Computer vision - Wikipedia

    en.wikipedia.org/wiki/Computer_vision

    Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos.From the perspective of engineering, it seeks to automate tasks that the human visual system can do.

  6. Flat-field correction - Wikipedia

    en.wikipedia.org/wiki/Flat-field_correction

    This picture is darker at the edges. This variation is called vignetting, and can be corrected by selectively brightening the perimeter of the image.. Flat-field correction (FFC) is a digital imaging technique to mitigate the image detector pixel-to-pixel sensitivity and distortions in the optical path.

  7. Perspective-n-Point - Wikipedia

    en.wikipedia.org/wiki/Perspective-n-Point

    However, with just three point correspondences, P3P yields up to four real, geometrically feasible solutions. For low noise levels a fourth correspondence can be used to remove ambiguity. The setup for the problem is as follows. Let P be the center of projection for the camera, A, B, and C be 3D world points with corresponding images points u ...

  8. Video4Linux - Wikipedia

    en.wikipedia.org/wiki/Video4Linux

    Video4Linux (V4L for short) is a collection of device drivers and an API for supporting realtime video capture on Linux systems. [1] It supports many USB webcams, TV tuners, and related devices, standardizing their output, so programmers can easily add video support to their applications.

  9. Microsoft Visual C++ - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Visual_C++

    Microsoft Visual C++ (MSVC) is a compiler for the C, C++, C++/CLI and C++/CX programming languages by Microsoft. MSVC is proprietary software ; it was originally a standalone product but later became a part of Visual Studio and made available in both trialware and freeware forms.