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Computer Vision: Algorithms and Applications (Texts in Computer Science) Hardcover – 19 Oct 2010

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Product details

  • Hardcover: 812 pages
  • Publisher: Springer; 2011 edition (19 Oct. 2010)
  • Language: English
  • ISBN-10: 1848829345
  • ISBN-13: 978-1848829343
  • Product Dimensions: 27.9 x 21.1 x 3.3 cm
  • Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: 402,282 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Product Description


From the reviews:

“This large work by Szeliski (Microsoft Research), an experienced computer vision researcher and instructor, contains hundreds of glossy color photos that illustrate the variety of techniques used to analyze and interpret images. … It is suitable for teaching a senior-level undergraduate course in computer vision or graduate courses covering the more demanding material. Its primary use will be as a general reference to the fundamental techniques and recent research literature for graduate students, faculty/researchers, and professionals. Summing Up: Recommended. Upper-division undergraduates and above.” (C. Tappert, Choice, Vol. 48 (9), May, 2011)

“The aim of this book is to provide a course in computer vision for undergraduate students in computer science or electrical engineering. … The focus is on algorithms and applications. … The mathematics covered is nicely presented … . Each chapter contains exercises and references to additional reading. … The book also contains many references to resources on the Internet.” (Lisbeth Fajstrup, Zentralblatt MATH, Vol. 1219, 2011)

“The main interests of Richard Szeliski’s book is to give a … up-to-date overview of the state of the art. … a valuable resource for teaching computer vision at either the undergraduate or graduate level. … an interesting read for any student or engineer who wants a broad introduction to the field of computer vision. … From a teaching point of view, the book is a valuable resource, offering an extended list of exercises, project proposals, and appealing applications of computer vision techniques.” (Sebastien Lefevre, ACM Computing Reviews, July, 2011)

From the Back Cover

Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the art?

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.

More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques

Topics and features:

  • Structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses
  • Presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects
  • Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory
  • Suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book
  • Supplies supplementary course material for students at the associated website, http://szeliski.org/Book/

Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

Dr. Richard Szeliski has more than 25 years’ experience in computer vision research, most notably at Digital Equipment Corporation and Microsoft Research. This text draws on that experience, as well as on computer vision courses he has taught at the University of Washington and Stanford.

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Most Helpful Customer Reviews

4 of 5 people found the following review helpful By Gonçalo R. da Silva on 25 Jan. 2014
Format: Hardcover
I've been using this book for a course in Image and Vision Processing and it's probably one of the worst books I read in all my university life (5th and final year now). It's a good book if you are already in the field, used to digital signal processing, and want to have a reference to the state of the art. However, this book is in my opinion not intuitive, not clear, and in general the book is not very precise. I consider it insults me because it leaves the details to the "astute reader", sometime details that are crucial to understanding the concepts. Explanations are shallow and superficial, and sudden jumps in complexity are made throughout the book.

In the end this is just a book of references and not a reference book. If you are in initiation, skip this. If you are a PhD, or an astute student, go for it.

[EDIT 29 Oct 2014]: Changed review score. Thank you A. Marshall for remembering I was unfair when reviewing this book. I should have done it after the discussion with Graham Watson. I actually still use the book when in need of CV stuff.
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Format: Hardcover
This is an excellent reference and review of the state of the art in Computer Vision by a leader in the field, with the caveat that in a rapidly advancing field nothing stays state of the art for long. It is not a Tutorial, or an Introduction, but it does not claim to be such.
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Most Helpful Customer Reviews on Amazon.com (beta)

Amazon.com: 22 reviews
34 of 35 people found the following review helpful
Excellent, since you can get it for free 25 Feb. 2012
By Eric Haines - Published on Amazon.com
Format: Hardcover
Here's a key fact: this book is free for download as an unprotected PDF from the author's site. So, go judge for yourself - Google the title, download, and it's yours.

Having helped write a similar book about interactive rendering ("Real-Time Rendering"), I understand the dilemma the author faces with this book: cover all the basics in depth (which other books do fine), or survey all the current literature, or some hybrid approach? Given that there are many books about the foundations of image processing and rendering, it's fine that the author chooses to go a more survey-oriented route, though there is some solid (albeit brief) coverage of the basics in the first few chapters.

What this means is that this is probably not the first book you want to read on the subject, unless you're made of sterner stuff than most. There are other books on the topic, go search them out. If you plan on doing any serious work in this area, this book will save you a huge amount of time understanding important trends and previous work in the field.
26 of 28 people found the following review helpful
Excellent Book on Computer Vision 11 Nov. 2010
By Shanmuga - Published on Amazon.com
Format: Hardcover
I have been reading the drafts of this book posted on Richard Szeliski's website, [...] , for about an year now. This book is written to cover almost all state-of-the-art research areas in computer vision and provides a solid introduction and reference. Unlike other books on vision, this book is about applications. The chapters are arranged keeping in mind the different key research areas which should be learned by a computer vision student. Apart from providing an overview, every chapter has abundant key references which direct the student for in-depth understanding of a particular area. This book is a welcome addition as literary resource for the computer vision community. Even though Szeliski has kept the digital version freely accessible in his site, this book as a hardbound version with color figures is definitely indispensable for every computer vision student and researcher. After Horn's landmark book, this book is here to stay as the premier computer vision book for years to come. I have started recommending this book for all the undergraduate and graduate students in my lab and I am planning to order a hardbound version for my personal bookshelf.

I strongly recommend this book for every computer vision enthusiast and I definitely feel that this book has the best content to interest people working in different areas of computer vision either in industry or academia. This book is surely the best book to learn computer vision at this point of time.
31 of 37 people found the following review helpful
I was really disappointed with this book. 5 Feb. 2012
By ethan - Published on Amazon.com
Format: Hardcover
I am a new to the world of computer vision (but not to CS or math), and I hoped that this book would be a good way to get into the field. Unfortunately, this was not the case.

I only read the first 4 chapters and gave up, so things might be different later on, but the book read like a review article and not a text book. It seems like you get a long list of ideas and techniques, with very little explanations and a lot of referrals to articles where the real information is found. I do like when authors point out where to find all the information they did not have time to put in, but for me at least it felt like there was almost no substance to the book.
9 of 10 people found the following review helpful
Update to date, broad overview. Lacking details in some places. 7 April 2011
By abliviax - Published on Amazon.com
Format: Hardcover Verified Purchase
Good overall -- Broad overview, sometimes fails to explain concepts in as much detail a new student might wish, reads like a literature survey in some places.
2 of 2 people found the following review helpful
Long list of idea without explanation 11 July 2014
By Turtleman - Published on Amazon.com
Format: Hardcover Verified Purchase
I agree that this is more like a literature review, NOT a textbook.
There are lots of ideas with long list of references, but no practical implementation.

Many paragraphs start with the phrase "An alternative approach is ..."
and paragraphs end with the phrase "read [reference] for more detail information".

For each approach, general idea is explained in abstract way, nothing practical.
To get the real information, you must search for the paper that the book is referring to.

Definitely NOT for learning, because the book itself has no material.
NOT for reference, either, because the book extensively uses online references, and
those online webs may or may not exist 10 years later.
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