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    Computer vision is a field of artificial intelligence (AI) that enables computers to interpret and understand visual information from the world, such as images and videos. It involves developing algorithms and techniques to extract meaningful information from visual inputs and make decisions based on that information1.

    How Computer Vision Works

    Computer vision relies on machine learning and neural networks to analyze visual data. The process involves several steps:

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    Computer vision - Wikipedia

    Computer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the form of decisions. "Understanding" in this context signifies the transformation … 展开

    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 展开

    Typical tasks 图像

    Solid-state physics
    Solid-state physics is another field that is closely related to computer vision. Most computer vision systems rely on image sensors, which detect electromagnetic radiation, which is typically in the form of either visible 展开

    Each of the application areas described above employ a range of computer vision tasks; more or less well-defined measurement problems or processing problems, which can be … 展开

    There are many kinds of computer vision systems; however, all of them contain these basic elements: a power source, at least one image acquisition device (camera, ccd, etc.), a processor, and control and communication cables or some kind of wireless … 展开

    Hardware 图像
    Related fields 图像
    Applications 图像

    In the late 1960s, computer vision began at universities that were pioneering artificial intelligence. It was meant to mimic the human visual system as a stepping stone to endowing robots … 展开

    Applications range from tasks such as industrial machine vision systems which, say, inspect bottles speeding by on a production line, to … 展开

    The organization of a computer vision system is highly application-dependent. Some systems are stand-alone applications that solve a specific measurement or detection problem, while others constitute a sub-system of a larger design which, for … 展开

    CC-BY-SA 许可证中的维基百科文本
  3. Computer Vision Tutorial - GeeksforGeeks

  4. What is Computer Vision? - IBM

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  6. What is Computer Vision in 2025? A Beginners Guide

    2023年12月6日 · Learn what is computer vision, its history, how it works, and its key features. Explore the tasks and applications of computer vision in various industries and the future outlook of this subfield of AI.

  7. 计算机视觉 – Computer Vision | CV - easyAI

    2022年8月15日 · 计算机视觉是人工智能领域的一个重要分支,它的目的是:看懂图片里的内容。本文介绍了计算机视觉的原理、挑战、8个任务和4个生活中常见的应用场景,以及相关的技术和案例。

  8. 什么是计算机视觉?| IBM

  9. CV计算机视觉(computer vision)概述--个人理解 - CSDN博客

  10. 计算机视觉 - 维基百科,自由的百科全书

    计算机视觉(Computer vision)是一门研究如何使机器“看”的科学,更进一步的说,就是指用摄影机和计算机代替人眼对目标进行识别、跟踪和测量等机器视觉,并进一步做图像处理,用计算机处理成为更适合人眼观察或传送给仪器检测的图 …

  11. 计算机视觉(开发赋予计算机视觉能力的技术)_百度百科

  12. 人工智能导论(8)——计算机视觉(Computer Vision)

    计算机视觉(Computer Vision,CV)是研究如何让计算机能够像人类那样“看”的技术。 机器视觉是面向应用的计算机视觉系统的设计与实现技术。 机器视觉更偏重于产品生产、自动化等行业和工程应用