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Robotic Vision Fundamental Algorithms in MATLAB®

Title
Robotic Vision [electronic resource] : Fundamental Algorithms in MATLAB® / by Peter Corke.
ISBN
9783030791759
Edition
1st ed. 2022.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2022.
Physical Description
1 online resource (XXV, 412 p.) 235 illus., 191 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 27, 2022
Series
Springer Tracts in Advanced Robotics, 142
Springer Tracts in Advanced Robotics, 142
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.
Citation

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