Ellipse Fitting for Computer Vision by Kenichi Kanatani - ISBN: 9783031006876
Paperback
Unlock 3D vision: Master ellipse fitting, the cornerstone of computer vision.

Ellipse Fitting for Computer Vision

Implementation and Applications

$89.10

  • Paperback

    128 pages

  • Release Date

    22 April 2016

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Summary

Because circular objects are projected to ellipses in images, ellipse fitting is a first step for 3-D analysis of circular objects in computer vision applications. For this reason, the study of ellipse fitting began as soon as computers came into use for image analysis in the 1970s, but it is only recently that optimal computation techniques based on the statistical properties of noise were established. These include renormalization (1993), which was then improved as FNS (2000) and HEIV (2000…

Book Details

ISBN-13:9783031006876
ISBN-10:3031006879
Author:Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
Publisher:Springer International Publishing AG
Imprint:Springer International Publishing AG
Format:Paperback
Number of Pages:128
Release Date:22 April 2016
Weight:286g
Dimensions:191mm x 235mm
Series:Synthesis Lectures on Computer Vision
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Ellipse Fitting for Computer Vision by Kenichi Kanatani - ISBN: 9783031006876
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About The Author

Kenichi Kanatani

Kenichi Kanatani received his B.E., M.S., and Ph.D. in applied mathematics from the University of Tokyo in 1972, 1974, and 1979, respectively. After serving as Professor of computer science at Gunma University, Gunma, Japan, and Okayama University, Okayama, Japan, he retired in 2013 and is now Professor Emeritus of Okayama University. He was a visiting researcher at the University of Maryland, U.S., (1985-1986, 1988-1989, 1992), the University of Copenhagen, Denmark (1988), the University of Oxford, U.K. (1991), INRIA at Rhone Alpes, France (1988), ETH, Switzerland (2013), University of Paris-Est, France (2014), and Linkoping University, Sweden (2015). He is the author of K. Kanatani, Group-Theoretical Methods in Image Understanding (Springer, 1990), K. Kanatani, Geometric Computation for Machine Vision (Oxford University Press, 1993), K. Kanatani, Statistical Optimization for Geometric Computation: Theory and Practice (Elsevier, 1996; reprinted Dover, 2005), and K. Kanatani, Understanding Geometric Algebra: Hamilton, Grassmann, and Clifford for Computer Vision and Graphics (AK Peters/CRC Press 2015). He received many awards including the best paper awards from IPSJ (1987), IEICE (2005), and PSIVT (2009). He is a Fellow of IEICE and IEEE.

Yasuyuki Sugaya received his B.E., M.S., and Ph.D. in computer science from the University of Tsukuba, Ibaraki, Japan, in 1996, 1998, and 2001, respectively. After serving as Assistant Professor of computer science at Okayama University, Okayama, Japan, he is currently Associate Professor of computer science and engineering at Toyohashi University of Technology, Toyohashi, Aichi, Japan. His research interests include image processing and computer vision. He received the IEICE best paper award in 2005.

Yasushi Kanazawa received his B.E. and M.S. degree in information engineering from Toyohashi University of Technology in 1985 and 1987, respectively, and his Ph.D in information and computer science from Osaka University in 1997. After engaging in research and development of image processing systems at Fuji Electric Co., Tokyo, Japan, and serving as Lecturer of Information and Computer Engineering at Gunma College of Technology, Gunma, Japan, he is currently Associate Professor of computer science and engineering at Toyohashi University of Technology, Aichi, Japan. His research interests include image processing and computer vision.

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