Introductory Techniques for 3-D Computer Vision [Paperback]

Trucco (Author), Alessandro Verri (Author)

Book Description

ISBN-10: 0132611082 | ISBN-13: 978-0132611084 | Publication Date: March 16, 1998

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.

Editorial Reviews

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

• Paperback: 343 pages
• Publisher: Prentice Hall (March 16, 1998)
• Language: English
• ISBN-10: 0132611082
• ISBN-13: 978-0132611084
• Product Dimensions: 9.1 x 7 x 0.8 inches
• Shipping Weight: 1.3 pounds
• Average Customer Review: 4.2 out of 5 stars  See all reviews (12 customer reviews)
• Amazon Best Sellers Rank: #932,801 in Books (See Top 100 in Books)
  • #22 in Books > Computers & Technology > Computer Science > Artificial Intelligence > Computer Vision

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Most Helpful Customer Reviews

12 of 12 people found the following review helpful:

5.0 out of 5 stars Excellent intermediate textbook on Computer Vision, September 16, 2005

By 

calvinnme - See all my reviews
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This review is from: Introductory Techniques for 3-D Computer Vision (Paperback)

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.

6 of 7 people found the following review helpful:

5.0 out of 5 stars The best textbook for computer vision, January 6, 2005

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Hejlsberg "hej" (Seoul, Korea) - See all my reviews

This review is from: Introductory Techniques for 3-D Computer Vision (Paperback)

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 concise, precise, and suitable to be used in classes. Definitions are carefully given. Pseudocode is extremely helpful for practical use. Also some sections about mathematics are appreciated to understand the underlying algorithms. If you want to learn more or do research, then read Forsyth's book after finishing reading this book. Several my collegues think this book is the first choice for new comers in this field.

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

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"anjoela" (bangkok Thailand) - See all my reviews

This review is from: Introductory Techniques for 3-D Computer Vision (Paperback)

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.