Foundations of Computer Vision /
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 learning advances. Machine learning has revolutionized computer vision, but the methods of today have deep roots in the histor...
| Main Authors: | , , , |
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| Format: | software, multimedia |
| Language: | eng |
| Published: |
Cambridge, Massachusetts : The MIT Press,
2024
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| Subjects: | |
| Online Access: | https://www.kobo.com |
| _version_ | 1817845755270922240 |
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| author | Torralba, Antonio, author 655233 Isola, Phillip, author 655234 Freeman, William T., author 655235 The MIT Press (Online service) 655237 |
| author_facet | Torralba, Antonio, author 655233 Isola, Phillip, author 655234 Freeman, William T., author 655235 The MIT Press (Online service) 655237 |
| author_sort | Torralba, Antonio, author 655233 |
| collection | OCEAN |
| 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 learning advances. Machine learning has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed modern treatment, this accessible and up-to-date textbook comprehensively introduces the foundations of computer vision while incorporating the latest deep learning advances. Taking a holistic approach that goes beyond machine learning, 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 fairness and ethics, and the research process. To emphasize intuitive learning, 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 learning; Accessible approach emphasizes fundamentals and assumes little background knowledge; Student-friendly presentation features extensive examples and images; Proven in the classroom; Instructor resources include slides, solutions, and source code. |
| first_indexed | 2024-09-23T23:43:26Z |
| format | software, multimedia |
| id | KOHA-OAI-TEST:611440 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-12-08T04:40:07Z |
| publishDate | 2024 |
| publisher | Cambridge, Massachusetts : The MIT Press, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6114402024-11-12T04:34:53ZFoundations of Computer Vision / Torralba, Antonio, author 655233 Isola, Phillip, author 655234 Freeman, William T., author 655235 The MIT Press (Online service) 655237 software, multimedia Electronic books 631902 Cambridge, Massachusetts : The MIT Press,2024©2024engAn accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest deep learning advances. Machine learning has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed modern treatment, this accessible and up-to-date textbook comprehensively introduces the foundations of computer vision while incorporating the latest deep learning advances. Taking a holistic approach that goes beyond machine learning, 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 fairness and ethics, and the research process. To emphasize intuitive learning, 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 learning; Accessible approach emphasizes fundamentals and assumes little background knowledge; Student-friendly presentation features extensive examples and images; Proven in the classroom; Instructor resources include slides, solutions, and source code.Includes bibliographical references and index.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 learning advances. Machine learning has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed modern treatment, this accessible and up-to-date textbook comprehensively introduces the foundations of computer vision while incorporating the latest deep learning advances. Taking a holistic approach that goes beyond machine learning, 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 fairness and ethics, and the research process. To emphasize intuitive learning, 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 learning; Accessible approach emphasizes fundamentals and assumes little background knowledge; Student-friendly presentation features extensive examples and images; Proven in the classroom; Instructor resources include slides, solutions, and source code.Computer visionhttps://www.kobo.comURN:ISBN:9780262378666 |
| spellingShingle | Computer vision Torralba, Antonio, author 655233 Isola, Phillip, author 655234 Freeman, William T., author 655235 The MIT Press (Online service) 655237 Foundations of Computer Vision / |
| title | Foundations of Computer Vision / |
| title_full | Foundations of Computer Vision / |
| title_fullStr | Foundations of Computer Vision / |
| title_full_unstemmed | Foundations of Computer Vision / |
| title_short | Foundations of Computer Vision / |
| title_sort | foundations of computer vision |
| topic | Computer vision |
| url | https://www.kobo.com |
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