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An Introduction to 3D Computer Vision Techniques and Algorithms [Hardcover]

Boguslaw Cyganek , J. Paul Siebert
5.0 out of 5 stars  See all reviews (2 customer reviews)

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Book Description

February 9, 2009 047001704X 978-0470017043 1
Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views of a scene. However using algorithms, it is possible to take a collection of stereo-pair images of a scene and then automatically produce a photo-realistic, geometrically accurate digital 3D model.

This book provides a comprehensive introduction to the methods, theories and algorithms of 3D computer vision. Almost every theoretical issue is underpinned with practical implementation or a working algorithm using pseudo-code and complete code written in C++ and MatLab®. There is the additional clarification of an accompanying website with downloadable software, case studies and exercises. Organised in three parts, Cyganek and Siebert give a brief history of vision research, and subsequently:  

  • present basic low-level image processing operations for image matching, including a separate chapter on image matching algorithms;
  • explain scale-space vision, as well as space reconstruction and multiview integration;
  • demonstrate a variety of practical applications for 3D surface imaging and analysis;
  • provide concise appendices on topics such as the basics of projective geometry and tensor calculus for image processing, distortion and noise in images plus image warping procedures.

An Introduction to 3D Computer Vision Algorithms and Techniques is a valuable reference for practitioners and programmers working in 3D computer vision, image processing and analysis as well as computer visualisation. It would also be of interest to advanced students and researchers in the fields of engineering, computer science, clinical photography, robotics, graphics and mathematics.


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An Introduction to 3D Computer Vision Techniques and Algorithms + Learning OpenCV: Computer Vision with the OpenCV Library + Computer Vision: Algorithms and Applications (Texts in Computer Science)
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Editorial Reviews

Review

“This text is a valuable reference for practitioners and programmers working in 3D computer vision, image processing and analysis as well as computer visualisation. It would also be of interest to advanced students and researchers in the fields of engineering, computer science, clinical photography, robotics, graphics and mathematics.”  (Zentralblatt MATH, 2012)




From the Back Cover

Computer vision encompasses the construction of integrated vision systems and the application of vision to problems of real-world importance. The process of creating 3D models is still rather difficult, requiring mechanical measurement of the camera positions or manual alignment of partial 3D views of a scene. However using algorithms, it is possible to take a collection of stereo-pair images of a scene and then automatically produce a photo-realistic, geometrically accurate digital 3D model.

This book provides a comprehensive introduction to the methods, theories and algorithms of 3D computer vision. Almost every theoretical issue is underpinned with practical implementation or a working algorithm using pseudo-code and complete code written in C++ and MatLab®. There is the additional clarification of an accompanying website with downloadable software. Organised in three parts, Cyganek and Siebert give a brief history of vision research, and subsequently:

  • present basic low-level image processing operations for image matching, including a separate chapter on image matching algorithms
  • explain scale-space vision, as well as space reconstruction and multiview integration
  • demonstrate a variety of practical applications for 3D surface imaging and analysis
  • provide concise appendices on topics such as the basics of projective geometry and tensor calculus for image processing, distortion and noise in images plus image warping procedures

An Introduction to 3D Computer Vision Techniques and Algorithms is a valuable reference for practitioners and programmers working in 3D computer vision, image processing and analysis as well as computer visualisation. It would also be of interest to advanced students and researchers in the fields of engineering, computer science, clinical photography, robotics, graphics and mathematics.


Product Details

  • Hardcover: 504 pages
  • Publisher: Wiley; 1 edition (February 9, 2009)
  • Language: English
  • ISBN-10: 047001704X
  • ISBN-13: 978-0470017043
  • Product Dimensions: 9.8 x 6.7 x 1.2 inches
  • Shipping Weight: 2.2 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #1,034,424 in Books (See Top 100 in Books)

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7 of 7 people found the following review helpful
5.0 out of 5 stars Quite complete and easy to understand May 15, 2009
Format:Hardcover
Although Hartley's book offers a deeper perspective on stereo 3D reconstruction, it is also aimed at an audience with a higher knowledge on this area, both mathematically and conceptually.
This book on the other hand offers a more simplistic solution but it also offers a good review on disparity and point correspondence estimation, which on Hartley's book is barely covered.
As each of theese books offfers a slightly different point of view on the matter, I suggest having both as good references on the subject.
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0 of 8 people found the following review helpful
5.0 out of 5 stars I feel like Penny June 23, 2013
By vicjo
Format:Hardcover|Verified Purchase
I felt like Penny Penny Penny when buying this book for my son. Could not get one thing out of it: good thing wasn't for me. My son loves the book and uses it with his teaching and classes he takes. I on the other hand am more of See Dick run, See Jane Run ha ha.
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