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Geometric Computation for Machine Vision (Oxford Engineering Science Series)
 
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Geometric Computation for Machine Vision (Oxford Engineering Science Series) [Hardcover]

Kenichi Kanatani (Author)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

July 8, 1993 019856385X 978-0198563853
Machine vision is the study of how to build intelligent machines which can understand the environment by vision. This book is unique in that it is entirely devoted to computational problems, topics that most books consider only peripherally. It considers in detail the mathematics--such as projective geometry--underlying all vision problems. Since projective geometry has been developed by mathematicians without regard to machine vision applications, this book attempts to define forms applicable to machine vision problems. The resulting formulation is termed computational projective geometry and is applied to 3-D shape analysis, camera calibration, road scene analysis, 3-D motion analysis, optical flow analysis, and conic image analysis. Special emphasis is put on robustness as it applies to data accuracy and to statistical analysis of computations based on image data. This book will be invaluable to researchers and students involved in machine vision as it applies to robotic, computer, and electrical engineering.

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About the Author

Kenichi Kanatani is at Gunma University.

Product Details

  • Hardcover: 488 pages
  • Publisher: Oxford University Press, USA (July 8, 1993)
  • Language: English
  • ISBN-10: 019856385X
  • ISBN-13: 978-0198563853
  • Product Dimensions: 9.1 x 6.4 x 1.3 inches
  • Shipping Weight: 2 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: #4,631,485 in Books (See Top 100 in Books)

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0 of 1 people found the following review helpful:
5.0 out of 5 stars Very Elegant Book!, July 2, 1999
This review is from: Geometric Computation for Machine Vision (Oxford Engineering Science Series) (Hardcover)
Many books about "Machine Vision" are just a collection of simple technological issues, resulting in almost no use. But this book is totally different in that it extremely focuses on geometrical aspect of Machine Vision, especially Projective Geometry. Very informative. I really like it.
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