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Название: Computational Imaging
Автор: Ayush Bhandari, Achuta Kadambi, Ramesh Raskar
Издательство: The MIT Press
Год: 2022
Страниц: 488
Язык: английский
Формат: epub
Размер: 113.8 MB
Computational imaging involves the joint design of imaging hardware and computer algorithms to create novel imaging systems with unprecedented capabilities. In contrast to traditional imaging, computational imaging is distinguished by a heavy use of mathematical algorithms. This text offers a comprehensive and up-to-date introduction to this rapidly growing field, a convergence of vision, graphics, signal processing, and optics. It can be used as an instructional resource for computer imaging courses and as a reference for professionals. It covers the fundamentals of the field, current research and applications, and light transport techniques. There are six major classes of Machine Learning: (1) clustering, (2) classification, (3) regression, (4) Deep Learning, (5) dimensionality reduction, and (6) reinforcement learning. Our discussions are confined to classes 1 through 4.
Автор: Ayush Bhandari, Achuta Kadambi, Ramesh Raskar
Издательство: The MIT Press
Год: 2022
Страниц: 488
Язык: английский
Формат: epub
Размер: 113.8 MB
Computational imaging involves the joint design of imaging hardware and computer algorithms to create novel imaging systems with unprecedented capabilities. In contrast to traditional imaging, computational imaging is distinguished by a heavy use of mathematical algorithms. This text offers a comprehensive and up-to-date introduction to this rapidly growing field, a convergence of vision, graphics, signal processing, and optics. It can be used as an instructional resource for computer imaging courses and as a reference for professionals. It covers the fundamentals of the field, current research and applications, and light transport techniques. There are six major classes of Machine Learning: (1) clustering, (2) classification, (3) regression, (4) Deep Learning, (5) dimensionality reduction, and (6) reinforcement learning. Our discussions are confined to classes 1 through 4.