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Foundations of Computer Vision

Computational Geometry, Visual Image Structures and Object Shape Detection

Language EnglishEnglish
Book Paperback
Book Foundations of Computer Vision James F. Peters
Libristo code: 20119327
Publishers Springer International Publishing AG, July 2018
This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful inf... Full description
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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.

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About the book

Full name Foundations of Computer Vision
Language English
Binding Book - Paperback
Date of issue 2018
Number of pages 431
EAN 9783319849126
Libristo code 20119327
Weight 688
Dimensions 155 x 235 x 25
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