Computer Vision: Algorithms and Applications (Texts in Computer Science)

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Book title: Computer Vision: Algorithms and Applications (Texts in Computer Science)

Computer Vision: Algorithms and Applications (Texts in Computer Science) Technical details/features and 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 chall

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One thought on “Computer Vision: Algorithms and Applications (Texts in Computer Science)

  1. 8 of 9 people found the following review helpful:
    5.0 out of 5 stars
    Excellent Book on Computer Vision, November 11, 2010
    By 
    Shanmuganathan R “Shanmuga” (IIT Bombay, Mumbai, India) –

    This review is from: Computer Vision: Algorithms and Applications (Texts in Computer Science) (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.

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