https://szeliski.org/Book/

        Computer Vision: Algorithms and Applications, 2nd ed.

        (c) 2022 Richard Szeliski, The University of Washington

[Szeliski2n] [He-MaskRCN] [Kids-ferry] [Agarwala-R]
             [Zitnick-SG] [PhotoTouri] [ITM-Stroke]

Welcome to the website (https://szeliski.org/Book) for the second
edition of my computer vision textbook, which is now available for
purchase at Amazon, Springer, and other booksellers.

To download an electronic version of the book, please fill in your
information on this page. You are welcome to download the PDF website
for personal use, but not to repost it on any other website; please
post a link to this URL instead.

Note that while the content of this electronic version and the
hardcopy versions are the same, the page layout is different, since
the electronic version is optimized for online reading. The PDF
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you were, use the Previous View (Alt-Left-Arrow) command in Acrobat.

The current download count is  179960  (since 1/23/2022).

This book is largely based on the computer vision courses that I have
co-taught at the University of Washington (2020, 2008, 2005, 2001)
with Steve Seitz and Harpreet Sawhney and at Stanford (2003) with
David Fleet.

If you're curious about the process that went into writing my book, I
did an interview with Computer Vision News (March 2022).

First edition

You can still download the first edition or potentially purchase it
online. The first edition is also available in Chinese and Japanese
(translated by Prof. Toru Tamaki).

Slide sets and lectures

There are no official slide sets to go with the book, but please feel
free to look at the University of Washington CSE 576 (Graduate
Computer Vision) (2020 and 2008 versions) slides that Steve Seitz and
I have put together.

Additional good sources for related courses (sorted roughly by most
recent first) include:

  * Noah Snavely's CS5670 - Introduction to Computer Vision class at
    Cornell Tech (Spring 2025)
  * Bill Freeman, Antonio Torralba, and Phillip Isola's 6.8300/
    6.8301: Advances in Computer Vision class at MIT (Spring 2023)
  * Matthew O'Toole's 16-385 Computer Vision class at CMU (Fall 2024)
  * Alyosha Efros' CS194-26/294-26: Intro to Computer Vision and
    Computational Photography class at Berkeley (Fall 2024)
  * Ioannis Gkioulekas's 15-463, 15-663, 15-862 Computational
    Photography class at CMU (Fall 2024)
  * James Tompkin's CSCI 1430 Computer Vision class at Brown (Spring
    2025)
  * Yasutaka Furukawa's CMPT 412 and 762 - Computer Vision class at
    Simon Fraser University (Fall 2023)
  * James Hays' CS 4476-A / 6476-A Computer Vision class at Georgia
    Tech (Fall 2022)
  * Justin Johnson's EECS 498.008 / 598.008: Deep Learning for
    Computer Vision class at the University of Michigan (Winter
    2022), which is an outstanding introduction to deep learning and
    visual recognition
  * Yann LeCun and Alfredo Canziani's DS-GA 1008: Deep Learning class
    at NYU (Spring 2021)
  * Luiz Velho's Fundamentals and Trends in Vision and Image
    Processing class at IMPA (Spring 2021)
  * UC Berkeley's CS294-158-SP20: Deep Unsupervised Learning class
    (Spring 2020)
  * Scott Wehrwein's CSCI 497P/597P - Introduction to Computer Vision
    class at Western Washington University (Spring 2020)
  * Andrew Owens' EECS 504: Foundations of Computer Vision class at
    the University of Michigan (Winter 2020)

If you would like your course listed here, please contact me.

Errata

If you have any comments or feedback on the book, please send me
e-mail. Once I have accumulated enough suggestions, I will post an
updated draft with the corrections/suggestions as PDF comments. Last
updated 8/11/2025