Foundations of Computer Vision Computational Geometry, Visual Image Structures and Object Shape Detection
This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational ge...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2017, 2017
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| Edition: | 1st ed. 2017 |
| Series: | Intelligent Systems Reference Library
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Basics Leading to Machine Vision
- Working with Pixels
- Visualising Pixel Intensity Distributions
- Linear Filtering
- Edges, Lines, Corners, Gaussian kernel and Voronoï Meshes
- Delaunay Mesh Segmentation
- Video Processing. An Introduction to Real-Time and Offline Video Analysis
- Lowe Keypoints, Maximal Nucleus Clusters, Contours and Shapes
- Postscript. Where Do Shapes fit into the Computer Vision Landscape?