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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
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Foundations of Computer Vision - Computational Geometry, Visual Image Structures and Object Shape Detection (Hardcover, 1st ed. 2017)
Series: Intelligent Systems Reference Library, 124
Expected to ship within 10 - 15 working days
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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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