Foundations of Computer Vision

Computational Geometry, Visual Image Structures and Object Shape Detection

Autor: James F. Peters

Język:

Oprawa: Miękka

Wydawca: Springer International Publishing AG

Dostępność: Dostępna u dostawcy

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This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful inf...

Informacje o książce

Autor

James F. Peters

Język

Angielski

Oprawa

Książka - Miękka

Data wydania

2018

strony

431

EAN

9783319849126

Enbook ID

20119327

Wydawca

Springer International Publishing AG

Waga

688

Wymiary

155 x 235 x 25

Pełny opis

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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Foundations of Computer Vision

Computational Geometry, Visual Image Structures and Object Shape Detection

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