Foundations of Computer Vision [E-Book] : Computational Geometry, Visual Image Structures and Object Shape Detection / by James F. Peters.
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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Full text |
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Personal Name(s): | Peters, James F., author |
Edition: |
1st edition 2017. |
Imprint: |
Cham :
Springer,
2017
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Physical Description: |
XVII, 431 pages 354 illustrations, 301 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783319524832 |
DOI: |
10.1007/978-3-319-52483-2 |
Series Title: |
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Intelligent Systems Reference Library ;
124 |
Subject (LOC): |
- 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?.