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2. OpenCV - Wikipedia

   en.wikipedia.org/wiki/OpenCV

   OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly for real-time computer vision. [2] Originally developed by Intel, it was later supported by Willow Garage, then Itseez (which was later acquired by Intel [3]). The library is cross-platform and licensed as free and open-source software under Apache License ...

3. List of programming languages for artificial intelligence

   en.wikipedia.org/wiki/List_of_programming...

   Python is a high-level, general-purpose programming language that is popular in artificial intelligence. [1] It has a simple, flexible and easily readable syntax. [2] Its popularity results in a vast ecosystem of libraries, including for deep learning, such as PyTorch, TensorFlow, Keras, Google JAX.

4. Local binary patterns - Wikipedia

   en.wikipedia.org/wiki/Local_binary_patterns

   Python mahotas, an open source computer vision package which includes an implementation of LBPs. OpenCV's Cascade Classifiers support LBPs as of version 2. VLFeat, an open source computer vision library in C (with bindings to multiple languages including MATLAB) has an implementation.

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. Triangulation (computer vision) - Wikipedia

   en.wikipedia.org/.../Triangulation_(computer_vision)

   In computer vision, triangulation refers to the process of determining a point in 3D space given its projections onto two, or more, images. In order to solve this problem it is necessary to know the parameters of the camera projection function from 3D to 2D for the cameras involved, in the simplest case represented by the camera matrices .

7. Feature (computer vision) - Wikipedia

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

   When a computer vision system or computer vision algorithm is designed the choice of feature representation can be a critical issue. In some cases, a higher level of detail in the description of a feature may be necessary for solving the problem, but this comes at the cost of having to deal with more data and more demanding processing.

8. Perspective-n-Point - Wikipedia

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

   Efficient PnP (EPnP) is a method developed by Lepetit, et al. in their 2008 International Journal of Computer Vision paper [9] that solves the general problem of PnP for n ≥ 4. This method is based on the notion that each of the n points (which are called reference points) can be expressed as a weighted sum of four virtual control points ...

9. Active contour model - Wikipedia

   en.wikipedia.org/wiki/Active_contour_model

   The snakes model is popular in computer vision, and snakes are widely used in applications like object tracking, shape recognition, segmentation, edge detection and stereo matching. A snake is an energy minimizing, deformable spline influenced by constraint and image forces that pull it towards object contours and internal forces that resist ...