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Computer vision, an interdisciplinary field that marries computer science and artificial intelligence, empowers machines to perceive and interpret the visual world in a manner akin to human vision. By processing and analyzing images and videos, computer vision algorithms unlock a wealth of information, enabling machines to recognize objects, understand scenes, and track motion. This transformative technology has permeated diverse industries, from autonomous vehicles navigating complex urban landscapes to medical imaging systems aiding in precise diagnoses. As computer vision continues to evolve, driven by advancements in deep learning and artificial intelligence, its potential to revolutionize countless aspects of our lives is boundless. Computer vision hinges on several core concepts. Image formation, the process by which light interacts with objects to create visual data, is a foundational aspect. Image processing techniques are employed to enhance image quality and extract relevant information.
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Computer vision, an interdisciplinary field that marries computer science and artificial intelligence, empowers machines to perceive and interpret the visual world in a manner akin to human vision. By processing and analyzing images and videos, computer vision algorithms unlock a wealth of information, enabling machines to recognize objects, understand scenes, and track motion. This transformative technology has permeated diverse industries, from autonomous vehicles navigating complex urban landscapes to medical imaging systems aiding in precise diagnoses. As computer vision continues to evolve, driven by advancements in deep learning and artificial intelligence, its potential to revolutionize countless aspects of our lives is boundless. Computer vision hinges on several core concepts. Image formation, the process by which light interacts with objects to create visual data, is a foundational aspect. Image processing techniques are employed to enhance image quality and extract relevant information.