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Foundations of Computer Vision

visionbook.mit.edu · 2,167 words · saved by 3 readers

This book covers foundational topics within computer vision, with an image processing and machine learning perspective. We want to build the reader’s intuition and so we include many visualizations. The audience is undergraduate and graduate students who are entering the field, but we hope experienced practitioners will find the book valuable as well. Our initial goal was to write a large book that provided a good coverage of the field. Unfortunately, the field of computer vision is just too large for that. So, we decided to write a small book instead, limiting each chapter to no more than five pages. Such a goal forced us to really focus on the important concepts necessary to understand each topic. Writing a short book was perfect because we did not have time to write a long book and you did not have time to read it. Unfortunately, we have failed at that goal, too. To appreciate the path we took to write this book, let’s look at some data first. shows the number of pages written as a

Foundations of Computer Vision Authors Antonio Torralba , Phillip Isola , and William Freeman Department of Electrical Engineering and Computer Science --> Massachusetts Institute of Technology --> You can buy the print version of this book here . Published by The MIT Press Cambridge, Massachusetts London, England Disclaimer This website is a draft online version of the book Foundations of Computer Vision . The print version was published by The MIT Press on April 16, 2024. The open access edition of this book was made possible by generous funding and support from MIT Libraries. --> Preface De

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