Computational Imaging and Vision

By: Reinhard Klette (Editor), Ryszard Kozera (Editor), Lyle Noakes (Editor)

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Hardcover | 9 December 2005

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412 Pages

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24.77 x 17.15 x 1.91

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Computer vision and image analysis require interdisciplinary collaboration between mathematics and engineering. This book addresses the area of high-accuracy measurements of length, curvature, motion parameters and other geometrical quantities from acquired image data. It is a common problem that these measurements are incomplete or noisy, such that considerable efforts are necessary to regularise the data, to fill in missing information, and to judge the accuracy and reliability of these results. This monograph brings together contributions from researchers in computer vision, engineering and mathematics who are working in this area.

The book can be read both by specialists and graduate students in computer science, electrical engineering or mathematics who take an interest in data evaluations by approximation or interpolation, in particular data obtained in an image analysis context.

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"This compendium should be treated as a higher-level text with the target audience being computer scientists, electrical engineers, and mathematician, both in the research and industrial settings. Graduate-level students interested in pursuing advanced treatments of the topic can benefit from reading this book as well. ... This text is an important and worthwhile contribution to the computational imaging and vision literature; it is easy to read and rigorous in its mathematical development." (R. Goldberg, ACM Computing Reviews, Vol. 49 (4), April, 2008)

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Non-Fiction Computing & I.T.Databases Graphical & Digital Media Applications Mathematics Geometry Computer Science Artificial Intelligence Computer Vision Calculus & Mathematical Analysis Differential Calculus & Equations Numerical Analysis

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Paperback

Published: 30th November 2010

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The twist representation of free-form objects	p. 3
Uncertain geometry with circles, spheres and conics	p. 23
Algorithms for spatial Pythagorean-hodograph curves	p. 43
Cumulative chords, piecewise-quadratics and piecewise-cubics	p. 59
Spherical splines	p. 77
Graph-spectral methods for surface height recovery from Gauss maps	p. 103
Segmentation of boundaries into convex and concave parts	p. 125
Convex and concave parts of digital curves	p. 145
Polygonalisation and polyhedralisation by optimisation	p. 161
Binary tomography by iterating linear programs	p. 183
Cascade of dual LDA operators for face recognition	p. 199
Precision of geometric moments in picture analysis	p. 221
Shape-from-shading by iterative fast marching for vertical and oblique light sources	p. 237
Shape from shadows	p. 259
A confidence measure for variational optic flow methods	p. 283
Video image sequence analysis : estimating missing data and segmenting multiple motions	p. 283
Robust local approximation of scattered data	p. 317
On robust estimation and smoothing with spatial and tonal kernels	p. 335
Subspace estimation with uncertain and correlated data	p. 353
On the use of dual norms in bounded variation type regularization	p. 373
Table of Contents provided by Blackwell. All Rights Reserved.

Computational Imaging and Vision

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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