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Machine perception : ウィキペディア英語版
Machine perception
Machine perception is the capability of a computer system to interpret data in a manner that is similar to the way humans use their senses to relate to the world around them.〔〔 The basic method that the computers take in and respond to their environment is through the attached hardware. Until recently input was limited to a keyboard, or a mouse, but advances in technology, both in hardware and software, have allowed computers to take in sensory input in a way similar to humans.〔〔
Machine perception allows the computer to use this sensory input, as well as conventional computational means of gathering information to gather information with greater accuracy and to present it in a way that is more comfortable for the user.〔 These include computer vision, machine hearing, and machine touch.
==Machine Vision==

Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. Computer vision has many applications already in use today such as facial recognition, geographical modeling, and even aesthetic judgment.〔

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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