Computer Vision: algorithms and applications Computer Vision: Algorithm and Application translation work order

Document directory

• 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 (2008,200 5, 2001)
And Stanford (2003) with Steve Seitz anddavid fleet.

You are welcome to download the PDF from this Web site for personal use,NotTo 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 shoshould 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 18,201 0

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

Author:Zhu benfuAddress: Guilin University of electronic science and technology, intelligent science and technologyE-Mial: Zhubenfulovepoem@163.comQq896922782
Technical Exchange Group:Image Processing Analysis and Machine Vision(Group Number:109128646This group is mainly responsible for image processing and analysis of theoretical research and engineering practices related to communication and machine vision. Project Cooperation Group:Borman smart technology hi-tech(Group Number:173234390) Obligation 1: Technical dating, project cooperation, and casual chatting in family life !......
Obligation 2: regularly announce potential project solutions and ideas for everyone to use software and hardware research for high-speed signal collection and processing, intelligent information processing, computer vision, intelligent robot, and Human-Computer Interaction

Translation Plan: The book contains 979 pages. I decided to translate the book on 10 pages every day and strive to complete the translation within five months. The translation results will be shared here in the form of a blog, due to my general qualifications, the translation is mainly for the purpose of learning. please correct me for any mistakes in translation. You are also welcome to join me, in cooperation with me, you can join the image processing and Machine Vision Technology Discussion Group to learn, exchange, and discuss.