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

Peters, James F. (Author)

ISBN 10: 331952481X / ISBN 13: 9783319524818

Published by Springer, 2017

About this Item

452 pages. 9.25x6.10x1.18 inches. In Stock. Seller Inventory # x-331952481X

Bibliographic Details

Title: Foundations of Computer Vision: ...

Publisher: Springer

Publication Date: 2017

Binding: Hardcover

Condition: Brand New

About this title

Synopsis:

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 geometry, topology and algorithms) in solving CV problems, shape tracking in image object recognition and detecting the repetition of shapes in single images and video frames. Computational geometry provides a visualization of topological structures such as neighborhoods of points embedded in images, while image topology supplies us with structures useful in the analysis and classification of image regions. Algorithms provide a practical, step-by-step means of viewing image structures.

The implementations of CV methods in Matlab  and Mathematica, classification of chapter problems with the symbols (easily solved) and (challenging) and its extensive glossary of key words, examples and connections with the fabric of CV make the book an invaluable resource for advanced undergraduate and first year graduate students in Engineering, Computer Science or Applied Mathematics.

It offers insights into the design of CV experiments, inclusion of image processing methods in CV projects, as well as the reconstruction and interpretation of recorded natural scenes.