Computer Vision: Algorithms and Applications (Texts in Computer Science) Second Edition 2022

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.

This book is great. Excellent treatment of computer vision contained within. This is really a great resource. Got it for a computer vision class. I ended up referencing for two other classes. The page quality is excellent and thick and lends itself to showing images on the page without transparency. The book is heavy. Don't drop this book because the binding won't hold up to the shear mass of the pages. Mine fell off my bed. I was nearly in tears. The binding held on... but it ripped up a bit from the hard cover. My fault. Excellent value imo.

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.

Never saw similar reference books to be so high-quality print and yet below $100.

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.

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.

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.

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?