Robotic vision : fundamental algorithms in MATLAB® / Peter Corke.
2022
TJ211.3
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Can lend chapters, not whole ebooks
Details
Title
Robotic vision : fundamental algorithms in MATLAB® / Peter Corke.
ISBN
9783030791759 (electronic bk.)
3030791750 (electronic bk.)
9783030791742 (print)
3030791750 (electronic bk.)
9783030791742 (print)
Published
Cham, Switzerland : Springer, [2022]
Language
English
Description
1 online resource (xxv, 412 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-79175-9 doi
Call Number
TJ211.3
Dewey Decimal Classification
629.8/92637
Summary
This textbook provides a tutorial introduction to classical Computer Vision. It is written in a light but informative narrative style, and includes many figures and MATLAB examples. The book takes the reader through the fundamentals of light and color, image processing, feature extraction, image formation and camera modelling, and multi-view geometry. Advanced topics include non-perspective cameras, light-field cameras, calibration, stereo vision and bundle adjustment. The Machine Vision Toolbox for MATLAB is free and open software that enables the reader to easily bring the algorithmic concepts into practice and work with real, non-trivial, problems. For the beginning student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used. The code can also be the starting point for new work, for researchers or students, by writing programs based on Toolbox functions, or modifying the Toolbox code itself.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 19, 2021).
Series
Springer tracts in advanced robotics ; v. 142. 1610-742X
Available in Other Form
Print version: 9783030791742
Print version: 9783030791766
Print version: 9783030791773
Print version: 9783030791766
Print version: 9783030791773
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Online Access
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Table of Contents
Introduction
Part I: Foundations- Representing Position and Orientation
Part II: Computer Vision
Light and Color
Images and Image Processing
Image Feature Extraction
Part III: The Geometry of Vision
Image Formation
Using Multiple Images
Index.
Part I: Foundations- Representing Position and Orientation
Part II: Computer Vision
Light and Color
Images and Image Processing
Image Feature Extraction
Part III: The Geometry of Vision
Image Formation
Using Multiple Images
Index.