Computer Vision: Algorithms and Applications 電腦視覺：演算法與應用 翻譯工作 序

文章目錄

• Errata
• Slide sets

Computer Vision: Algorithms and Applications 2010 Richard Szeliski, Microsoft ResearchWelcome to the Web site (http://szeliski.org/Book) for my computer vision textbook, which you can now purchase at a variety of locations, including Springer (SpringerLink, DOI),Amazon,
and Barnes & Noble.

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

You are welcome to download the PDF from this Web site for personal use, but not to repost it on any other Web site. Please post a link to this URL (http://szeliski.org/Book) instead. An electronic
version of this manuscript will continue to be available even after the book is published. Note, however, that while the content of the electronic and hardcopy versions are the same, the page layout (pagination) is different, since the electronic version is
optimized for online reading.

The PDFs should be enabled for commenting directly in your viewer. Also, hyper-links to sections, equations, and references are enabled. To get back to where you were, use Alt-Left-Arrow in Acrobat.

If you have any comments or feedback on the book, please send me e-mail.

This Web site will also eventually contain supplementary materials for the textbook, such as figures and images from the book, slides sets, pointers to software, and a bibliography.

Latest draft

September 3, 2010

August 18, 2010

Errata

See here for a list of errors that people have noticed and reported.

Slide sets

There are not yet any slide sets to go with the book.  Please feel free to look at the University of Washington CSE 576 (Graduate Computer Vision) slides that Steve Seitz and I have put
together.

Additional good sources for related slides include:

• Trevor Darrell's CS 280 Computer Vision class at Berkeley
• Antonio Torralba's 6.869 Advances in Computer Vision class at MIT
• Michael Black's CS 143 Introduction to Computer Vision class at Brown
• Kristen Grauman's CS 378 Computer Vision class at UT Austin
• Alyosha Efros' 15-463 Computational Photography and 16-721 Learning-Based Methods in Vision classes at Carnegie Mellon

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