Foundations of Computer Vision (Adaptive Computation and Machine Leaing)

by: Antonio Torralba (Author),Phillip Isola(Author)

Publisher: MIT Press

Publication Date: 16 April 2024

Language: English

Print Length: 768 pages

ISBN-10: 0262048973

ISBN-13: 9780262048972

Book Description

An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest deep leaing advances.Machine leaing has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed mode treatment, this accessible and up-to-date textbook comprehensively introduces the foundations of computer vision while incorporating the latest deep leaing advances. Taking a holistic approach that goes beyond machine leaing, it addresses fundamental issues in the task of vision and the relationship of machine vision to human perception. Foundations of Computer Vision covers topics not standard in other texts, including transformers, diffusion models, statistical image models, issues of faiess and ethics, and the research process. To emphasize intuitive leaing, concepts are presented in short, lucid chapters alongside extensive illustrations, questions, and examples. Written by leaders in the field and honed by a decade of classroom experience, this engaging and highly teachable book offers an essential next-generation view of computer vision. Up-to-date treatment integrates classic computer vision and deep leaing Accessible approach emphasizes fundamentals and assumes little background knowledgeStudent-friendly presentation features extensive examples and imagesProven in the classroomInstructor resources include slides, solutions, and source code
About the Author

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