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Books > Computing & IT > Applications of computing > Image processing

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Foundations of Computer Vision - Computational Geometry, Visual Image Structures and Object Shape Detection (Hardcover, 1st ed. 2017) Loot Price: R4,809
Discovery Miles 48 090
Foundations of Computer Vision - Computational Geometry, Visual Image Structures and Object Shape Detection (Hardcover, 1st ed....

Foundations of Computer Vision - Computational Geometry, Visual Image Structures and Object Shape Detection (Hardcover, 1st ed. 2017)

James F. Peters

Series: Intelligent Systems Reference Library, 124

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Loot Price R4,809 Discovery Miles 48 090 | Repayment Terms: R451 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Intelligent Systems Reference Library, 124
Release date: March 2017
First published: 2017
Authors: James F. Peters
Dimensions: 235 x 155 x 25mm (L x W x T)
Format: Hardcover
Pages: 431
Edition: 1st ed. 2017
ISBN-13: 978-3-319-52481-8
Categories: Books > Science & Mathematics > Physics > General
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
Books > Computing & IT > Applications of computing > Image processing > General
LSN: 3-319-52481-X
Barcode: 9783319524818

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