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Nvidia 3D Vision is a technology developed by Nvidia, [1] [2] a multinational corporation specializing in developing graphics processing units and chipset technologies for workstations, personal computers, and mobile devices. This technology allows games, movies, and pictures to be displayed in stereoscopic 3D. [3] [4] [5]
General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).
Pixel Visual Core (PVC), which is a fully programmable Image, Vision and AI processor for mobile devices; Microsoft HoloLens, which includes an accelerator referred to as a holographic processing unit (complementary to its CPU and GPU), aimed at interpreting camera inputs, to accelerate environment tracking and vision for augmented reality ...
The NVIDIA 3D Vision gaming kit introduced in 2008 made this technology available for mainstream consumers and PC gamers. [ 1 ] The kit is specially designed for 120 Hz LCD monitors , but is also compatible with CRT monitors (some of which may work at 1024×768×120 Hz and even higher refresh rates ), DLP-projectors, 3LCD projectors and others.
The Khronos Group, Inc. is an open, non-profit, member-driven consortium of 170 organizations developing, publishing and maintaining royalty-free interoperability standards for 3D graphics, virtual reality, augmented reality, parallel computation, vision acceleration and machine learning.
Vulkan targets high-performance real-time 3D-graphics applications, such as video games and interactive media, and highly parallelized computing.Vulkan is intended to offer higher performance and more efficient CPU and GPU usage compared to the older OpenGL and Direct3D 11 APIs.
Like CIFAR-10, above, but 100 classes of objects are given. Classes labelled, training set splits created. 60,000 Images Classification 2009 [18] [36] A. Krizhevsky et al. CINIC-10 Dataset A unified contribution of CIFAR-10 and Imagenet with 10 classes, and 3 splits. Larger than CIFAR-10. Classes labelled, training, validation, test set splits ...
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.
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