Foundations of Computer Vision Computational Geometry, Visual Image Structures and Object Shape Detection /

• Main Author: Peters, James F. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Series: Intelligent Systems Reference Library, 124
• Subjects: Engineering.; Artificial intelligence.; Image processing.; Computational intelligence.; Computational Intelligence.; Image Processing and Computer Vision.; Artificial Intelligence (incl. Robotics).; Applications of Graph Theory and Complex Networks.

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...

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?.