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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Bibliographic Details
Main Author Peters, James F. (Author)
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer, 2017.
SeriesIntelligent systems reference library ; v. 124.
Subjects
Computer vision.
elektronické knihy
electronic books
Online AccessFull text
ISBN9783319524832
9783319524818
ISSN1868-4394 ;
Physical Description1 online resource (xvii, 431 pages) : illustrations (some color)

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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?.

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