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Robotic vision = fundamental algorit...

Corke, Peter.

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Robotic vision = fundamental algorithms in MATLAB /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Robotic vision/ by Peter Corke.
Reminder of title:	fundamental algorithms in MATLAB /
Author:	Corke, Peter.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xxv, 412 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Robot vision. -
Online resource:	https://doi.org/10.1007/978-3-030-79175-9
ISBN:	9783030791759

Robotic vision = fundamental algorithms in MATLAB /
Corke, Peter.

Robotic visionfundamental algorithms in MATLAB /[electronic resource] :by Peter Corke. - Cham :Springer International Publishing :2022. - xxv, 412 p. :ill. (some col.), digital ;24 cm. - Springer tracts in advanced robotics,v. 1421610-742X ;. - Springer tracts in advanced robotics ;v. 142..

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.

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.

ISBN: 9783030791759

Standard No.: 10.1007/978-3-030-79175-9doiSubjects--Uniform Titles:

MATLAB.
Subjects--Topical Terms:

674122
Robot vision.

LC Class. No.: TJ211.3 / .C67 2022

Dewey Class. No.: 629.892637

Robotic vision = fundamental algorithms in MATLAB /
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490 1 $a Springer tracts in advanced robotics, $x 1610-742X ; $v v. 142
505 0 $a 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.
520 $a 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.
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