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Product Description
Review
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)
Product Description
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.
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Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
4.5 out of 5 stars (8 customer reviews)
19 of 20 people found the following review helpful
5.0 out of 5 stars
Excellent Book on Computer Vision, Nov 11 2010
By Shanmuganathan Raman "Shanmuga" - Published on Amazon.com
This review is from: Computer Vision: Algorithms and Applications (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.
7 of 8 people found the following review helpful
4.0 out of 5 stars
Update to date, broad overview. Lacking details in some places., April 6 2011
By abliviax "abliviax" - Published on Amazon.com
Amazon Verified Purchase(What's this?)
This review is from: Computer Vision: Algorithms and Applications (Hardcover)
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
4.0 out of 5 stars
Comprehensive textbook., April 14 2012
By David Tsai - Published on Amazon.com
Amazon Verified Purchase(What's this?)
This review is from: Computer Vision: Algorithms and Applications (Hardcover)
This is a comprehensive computer vision book and is definitely a good textbook. I used it to prepare my PhD qualifying exam and it went well. One negative comment is that the book focuses too much on the geometry stuff (nearly half of the book). However the computer vision community is developing as more machine-learning oriented.
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