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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]).
In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more.This is accomplished by doing a convolution between the kernel and an image.
Computer Vision Online Archived 2011-11-30 at the Wayback Machine – news, source code, datasets and job offers related to computer vision CVonline – Bob Fisher's Compendium of Computer Vision. British Machine Vision Association – supporting computer vision research within the UK via the BMVC and MIUA conferences , Annals of the BMVA (open ...
Computer and handheld screens Designation Usage W (px) H Aspect ratio Total pixels Storage Display Pixel 0.26K1 Microvision: 16: ×: 16 1∶1: 1∶1: 1∶1: 256
YCbCr is sometimes abbreviated to YCC.Typically the terms Y′CbCr, YCbCr, YPbPr and YUV are used interchangeably, leading to some confusion. The main difference is that YPbPr is used with analog images and YCbCr with digital images, leading to different scaling values for U max and V max (in YCbCr both are ) when converting to/from YUV.
Computer Vision Annotation Tool (CVAT) is an open source, web-based image and video annotation tool used for labeling data for computer vision algorithms. Originally developed by Intel, CVAT is designed for use by a professional data annotation team, with a user interface optimized for computer vision annotation tasks.
Gary Bradski is an American scientist, engineer, entrepreneur, and author. He co-founded Industrial Perception, a company that developed perception applications for industrial robotic application (since acquired by Google in 2012 [2]) and has worked on the OpenCV Computer Vision library, as well as published a book on that library.
Image of Lena Forsén used in many image processing experiments. (Click on the image to access the actual 512×512px standard test version.) Lenna (or Lena) is a standard test image used in the field of digital image processing, starting in 1973. [1]