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Introductory Techniques for 3-D Computer Vision
 
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Introductory Techniques for 3-D Computer Vision (Paperback)

~ Trucco (Author), Alessandro Verri (Author)
4.2 out of 5 stars  See all reviews (12 customer reviews)


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Editorial Reviews

Product Description

Senior/Graduate level courses on computer vision, robot vision and image processing in electrical and computer engineering, mathematics, and computer science departments, and an essential reference for researchers and scientists in the field of computer vision. An applied introduction to modern computer vision, focusing on a set of computational techniques for 3-D imaging. Covers a wide range of fundamental problems encountered within computer vision and provides detailed algorithmic and theoretical solutions for each. Each chapter concentrates on a specific problem and solves it by building on previous results.


From the Back Cover

An applied introduction to modern computer vision, focusing on a set of computational techniques for 3-D imaging, this book covers a wide range of fundamental problems encountered within computer vision and provides detailed algorithmic and theoretical solutions for each. Each chapter concentrates on a specific problem and solves it by building on previous results.

FEATURES:

  • Provides a guide to well-tested theory and algorithms including solutions of problems encountered in modern computer vision.
  • Contains many practical hints highlighted in the book.
  • Develops two parallel tracks in the presentation, showing how fundamental problems are solved using both intensity and range images, the most popular types of images used today.
  • Each chapter contains notes on the literature, review questions, numerical exercises, and projects.
  • Provides an Internet list for accessing links to test images, demos, archives and additional learning material.

Product Details


More About the Author

Emanuele Trucco
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Customer Reviews

12 Reviews
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4 star:
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Average Customer Review
4.2 out of 5 stars (12 customer reviews)
 
 
 
 
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10 of 10 people found the following review helpful:
5.0 out of 5 stars Excellent intermediate textbook on Computer Vision, September 16, 2005
By calvinnme "Texan refugee" (Fredericksburg, Va) - See all my reviews
(TOP 10 REVIEWER)      
If you already understand image processing and the basics of computer vision, this book is a very good at concisely presenting more advanced algorithms to the reader. Also, because this book is so well organized, you can read it from beginning to end. Rest assured if you are looking at an algorithm on page 84, you will not need to skip ahead to later sections in the book to understand it. From the beginning, algorithms are named and presented in numbered steps for clarity of presentation. The book starts out with introductory material such as basic optics and the geometry of camera models. It continues with image denoising, as well as two full chapters devoted to image features and their detection. Finally, the more basic material concludes with a chapter on the mathematics of camera calibration. One aspect of vision that is often neglected in other computer vision books that is treated well here is that of motion. For those working in video processing, this might make this book a good selection. Also, the book gives one of the best discussions of eigenspaces that I have seen in print in chapter ten of the book, where the subject is recognition of 3D objects. I was able to code up the eigenfaces face recognition algorithm based almost entirely on the information found in chapter ten of this book. If you need an introduction to computer vision before tackling the more advanced material in this text, try Shapiro's book "Computer Vision" ISBN 0130307963. A good knowledge of linear algebra is necessary prior to understanding the algorithms in this book such as is found in Schaum's outline of Matrix Operations. Given the specific subject matter of this book, it would probably be an excellent choice for an engineer or scientist that is interested in computer vision as it relates to robotics.
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3 of 3 people found the following review helpful:
5.0 out of 5 stars Extra-ordinary book on Computer Vision!, April 29, 2006
By Shanmuganathan R "Shanmuga" (IIT Bombay, Mumbai, India) - See all my reviews
I didn't know or hear about this book till one fine morning when I went to our IIT library looking for some good book on computer vision to supplement the knowledge imparted by Horn's book. I found this book and it contained most of the concepts covered thus far in my lectures. Still I was not convinced about the credibility of this book. Somehow, I started grazing through this book in leisure hours.

To my surprise, I found that it was simply an amazing book written so skillfully on computer vision from the basics. The Math fundae in the appendix were the ones I read first. They were very concise and helped me to grasp the concepts quickly. The chapters were also based on recent literature and very much coherent and self-explanatory.

This book has the potential to become a master-piece in computer vision. One unique feature of this book is the clear explanation of Math concepts in each chapter. For it to become more user-friendly, some real application oriented problems should be added.

But, on the whole, this book is an excellent book to be read along with Horn's book to fully understand the basics of computer vision. I strongly recommend this book to any novice to computer vision with little understanding of image processing concepts.
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3 of 3 people found the following review helpful:
5.0 out of 5 stars Such a great book for novice in computer vision !!!, March 7, 2001
By "anjoela" (bangkok Thailand) - See all my reviews
It's a pretty good reference for the one who want to start in computer vision ,espectially in stereo graphic field. With its comprehensive explanation and well oganization,it should be the first book in your computer vision bookshelf.
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Most Recent Customer Reviews

2.0 out of 5 stars More of a reference book
I was a bit disappointed by this book. It is written more like a reference book than something you can read through to learn the material. Read more
Published on August 23, 2007 by Thomas Polk

4.0 out of 5 stars Some nice intuitions
In my humble opinion, mathematics is best explained through intuitions which motivate the rigor. That is, a general, high level, overall understanding of a particular problem and... Read more
Published on December 22, 2005 by O. Ahmad

3.0 out of 5 stars Not for the beginner
Book uses a very analytical approach. Concepts are very poorly explained and derviations are not explained. Read more
Published on March 21, 2005 by J Rock

5.0 out of 5 stars The best textbook for computer vision
This is the best textbook for computer vision I've ever met. Compared with Forsyth and Ponce's heavy book titled with "computer vision: a modern approach", this book is very... Read more
Published on January 6, 2005 by Hejlsberg

2.0 out of 5 stars My head almost exploded!
I originally purchased this book for a graduate-level computer vision course. I found the book more obfuscating than helpful. Read more
Published on September 10, 2004 by Dan

5.0 out of 5 stars A very good introductory book to computer vision
Every comer to the field of computer vision should read this book. It has the right mix of theory and practical examples for beginners. Read more
Published on April 17, 2003 by Gamal Seedahmed

5.0 out of 5 stars One of the best books on the topic
This is a very precise and well organized books. Every chapter is well justified and moreover each chapter contains relevant algorithms and psuedocode to address the problems... Read more
Published on August 25, 2001 by Esfandiar Bandari

5.0 out of 5 stars An instant classic
Every newcomer to the field of computer vision should own this book. With a well organized blend of theory and algorithms, this text clearly and (as important) succinctly... Read more
Published on May 26, 2001 by MZ Brown

5.0 out of 5 stars It is much more than an excellent book
It is an interesting book that can be read with easiness recommended for all the courses of artificial vision, its brings important algorithms, annotations and interesting... Read more
Published on May 31, 2000 by Carlos Ignacio Torres Londoņo

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