Calibration and Orientation of Cameras in Computer Vision (Springer Series in Information Sciences) [Hardcover]

Armin Gruen (Editor), Thomas S. Huang (Editor)

Book Description

Publication Date: June 27, 2001 | ISBN-10: 3540652833 | ISBN-13: 978-3540652830 | Edition: 1

This book brings together concepts and approaches from the fields of photogrammetry and computer vision. In particular, it examines techniques relating to quantitative image analysis, such as orientation, camera modelling, system calibration, self-calibration and error handling. The chapters have been contributed by experts in the relevant fields, and there are examples from automated inspection systems and other real-world cases. The book provides study material for students, researchers, developers and practitioners.

Editorial Reviews

Review

From the reviews:

"All you need to know about camera calibration and orientation for close range work is in this book. … It certainly is a book for post-graduate students and for those academics supervising them. … the editors must be congratulated for bringing together at one point in time most … facets of camera calibration and orientation. The list of references at the end of each chapter will be extremely useful for future researchers and … this book should adorn the shelves of university libraries." (J. G. Fryer, The Photogrammetric Record, Issue 17, 2002)

From the Back Cover

This book brings together concepts and approaches from the fields of photogrammetry and computer vision. In particular, it examines techniques relating to quantitative image analysis, such as orientation, camera modelling, system calibration, self-calibration and error handling. The chapters have been contributed by experts in the relevant fields, and there are examples from automated inspection systems and other real-world cases. The book provides study material for students, researchers, developers and practitioners.

Product Details

• Hardcover: 247 pages
• Publisher: Springer; 1 edition (June 27, 2001)
• Language: English
• ISBN-10: 3540652833
• ISBN-13: 978-3540652830
• Product Dimensions: 9.4 x 6.3 x 0.8 inches
• Shipping Weight: 1 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #2,441,050 in Books (See Top 100 in Books)
  • #41 in Books > Computers & Technology > Computer Science > Artificial Intelligence > Computer Vision

Customer Reviews

Most Helpful Customer Reviews

7 of 7 people found the following review helpful:

5.0 out of 5 stars The two sides of Camera Calibration, August 7, 2003

By 

Gamal Seedahmed (Richland, WA United States) - See all my reviews

This review is from: Calibration and Orientation of Cameras in Computer Vision (Springer Series in Information Sciences) (Hardcover)

This book presents two approaches for camera calibration. The first approach explains the photogrammetric principles of camera calibration. The second one explains the computer vision point of view. Photogrammetry by its very nature aims at rigorous modeling from images. Therefore, the physical and the geometric aspects of camera calibration are treated in great depth. In addition, the random component associated with the observed information is treated in a correct statistical sense. The collinearity model is central to most of the photogrammetric calibration algorithms. On the other hand, computer vision algorithms, in general, mainly concentrate on producing quick and fast algorithms to comply with the nature of their applications. Linear models are the driving force behind most of these algorithms. There is a great synergy between the two approaches if it exploited with a deep understanding. Well-known researchers in photogrammetry and computer vision author this book. I recommend this book.