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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]).
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 . LBPLibrary is a collection of eleven Local Binary Patterns (LBP) algorithms developed for background subtraction problem.
The process of Canny edge detection algorithm can be broken down to five different steps: Apply Gaussian filter to smooth the image in order to remove the noise; Find the intensity gradients of the image
Objects detected with OpenCV's Deep Neural Network module by using a YOLOv3 model trained on COCO dataset capable to detect objects of 80 common classes. You Only Look Once (YOLO) is a series of real-time object detection systems based on convolutional neural networks.
Automatic face detection with OpenCV. Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. [1] Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene.
OpenGL (Open Graphics Library [4]) is a cross-language, cross-platform application programming interface (API) for rendering 2D and 3D vector graphics.The API is typically used to interact with a graphics processing unit (GPU), to achieve hardware-accelerated rendering.
An earthquake centered off the coast of New England Monday morning was felt for hundreds of miles, including in the Boston area and parts of Pennsylvania.
The generalized Hough transform (GHT), introduced by Dana H. Ballard in 1981, is the modification of the Hough transform using the principle of template matching. [1] The Hough transform was initially developed to detect analytically defined shapes (e.g., line, circle, ellipse etc.).