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Foundations of Computer Vision, Hardcover by Torralba, Antonio; Isola, Philli...

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eBay item number:365555559643
Last updated on Aug 18, 2025 04:53:26 SGTView all revisionsView all revisions

Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Book Title
Foundations of Computer Vision
ISBN
9780262048972

About this product

Product Identifiers

Publisher
MIT Press
ISBN-10
0262048973
ISBN-13
9780262048972
eBay Product ID (ePID)
12060716261

Product Key Features

Number of Pages
840 Pages
Publication Name
Foundations of Computer Vision
Language
English
Subject
Engineering (General), Intelligence (Ai) & Semantics, Computer Vision & Pattern Recognition
Publication Year
2024
Type
Textbook
Subject Area
Computers, Technology & Engineering
Author
Phillip Isola, Antonio Torralba, William T. Freeman
Series
Adaptive Computation and Machine Learning Ser.
Format
Hardcover

Dimensions

Item Height
1.4 in
Item Weight
52.4 Oz
Item Length
9.3 in
Item Width
8.3 in

Additional Product Features

Intended Audience
Trade
LCCN
2023-024588
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.37
Synopsis
Foundations of Computer Vision comprehensively introduces the foundations of the field while incorporating the latest deep learning advances, it takes a holistic approach that goes beyond machine learning and addresses fundamental issues in the task of vision and the relationship of machine vision to human perception. Written by leaders in the field and honed by a decade of classroom experience, this authoritative and highly teachable book offers an essential next-generation view of computer vision. Integrates classic computer vision and deep learning, Emphasizes fundamentals and assumes little background knowledge, Includes coverage of transformers, diffusion models, statistical image models, issues of fairness and ethics, and the research process, Features extensive examples and instructor resources, 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
LC Classification Number
TA1634.T66 2024

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