Computer Vision: Algorithms and Applications (Texts in Computer Science)
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Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos.
More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles.
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 coursesIncorporates totally new material on deep learning and applications such as mobile computational photography, autonomous navigation, and augmented realityPresents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects
Includes 1,500 new citations and 200 new figures that cover the tremendous developments from the last decade
Provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, estimation theory, datasets, and software
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.
Publisher : Springer; Second Edition 2022 (January 5, 2022)
Language : English
Hardcover : 947 pages
ISBN-10 : 3030343715
ISBN-13 : 978-3030343712
Item Weight : 2.31 pounds
Dimensions : 8.5 x 1.5 x 11 inches
13 reviews for Computer Vision: Algorithms and Applications (Texts in Computer Science)
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Jerryo –
Hardcover Exceptional Print Quality
Never saw similar reference books to be so high-quality print and yet below $100.
Kindle Customer –
My review
This book is the benefit for explanation of whole computer vision.so this book has a lot of example.but a chapter cover some different book shortly.
Angela Morgan –
Just buy it!
The print quality is exceptional – I really wasn’t expecting that. The topics look great. The notation is typical and should facilitate easy understanding of the concepts.
geoffrey barrows –
Comprehensive reference book for those already familiar with computer vision; NOT a textbook
This is a good book, and I would say an essential one to include in your library if you are a computer vision practitioner. But only if you think of it as a giant “survey paper” covering all of computer vision. It is NOT suitable as a textbook for those learning computer vision- much of the math is glossed over quickly, and for many fundamental algorithms you are referred to other papers and textbooks. This includes fundamental algorithms such as RANSAC, a fundamentally important one in computer vision, which is given an incomplete top-level summary (not enough to clarify what it is or enable one to attempt implementing it) and then referenced by several papers.It does have an extensive appendix section referencing numerous software packages and sample data sets that one can use to help learn the field. This is valuable.In short, this would be a good 3rd or 4th book to add to your CV library, but not your first! For this I rated it four stars above. If you are already a seasoned CV practitioner and want to round out your library, this book would be a 5-star investment.
David A. Eichinger –
Obfuscated
This was a soup salad of new terminology. Geoffrey Barrows’ review was on the money. It is more of a survey of current knowledge and not an instructional book on computer vision. I don’t know why this book was assigned to our course. As I read though, I write down things I need to look up. It’s a lot. The explanations are quite sparse. I would avoid this book if you’re looking for a top-down explanation of computer vision material. If you already know this stuff, then this might work for you.
DB –
Bad sticker placement
Book came with a sticker on the front and when removed left a sticky spot. It’s one thing if it’s in the corner on the back but being on the front is gross.The content of the book itself is fine. Just the seller made a mistake.
Sunny Au Yeung –
Printing for red color words are not aligned and blurred
I found that in this book all characters in red are blurred, seemingly not well aligned in offset printing. I think this should not happen for Springer. Could I just return the book to the supplier and exchange for one with better quality, or just return the item with refund?
GiladR –
good general book. Not detailed enough.. Hugh cites on text
It is a general good book explain computer vision. No examples are given with detailed computations or detailed algorithms. There are the cites to the sources and the books for this. The cites are sometimes occupying more than two lines of text and are annoying (better use a number for referal in the index etc).When I buy a book, I want it to cover the material and not refer me to other books for almost everything.
Eduardo Hiroshi Nakamura –
Visão geral da Visão Computacional
Amazon Customer –
Thanks
BISWAJIT ROY –
The book I ordered was supposed to be an imported one. But the delivered one is hard bound Indian printed as far as the paper quality shows unlike international acid free quality paper. The printing quality is quite inferior and seems to be done in inkjet printer not printing press. Not satisfactory as the price paid for the original international version but received non international version locally printed book having hazzy images.
Titya –
The size of paper is almost A4, with this hard cover and color picture in the book. The paper is glossy
Jan N. –
In terms of content, Szeliski’s book is the definitive reference work on computer vision. The new edition covers the relevant innovations.One flaw of the book is the thin paper. As a result, the text of the next two pages, the back page and the page after that, shines through. I found this quite distracting when reading.