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Foundations Computer Vision Computational by Peters James (11 results)
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US$ 127.24
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US$ 128.03
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Foundations of Computer Vision: Computational Geometry, Visual Image Structures and Object Shape Detection (Intelligent Systems Reference Library, 124)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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US$ 136.55
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Foundations of Computer Vision : Computational Geometry, Visual Image Structures and Object Shape Detection
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3319849123 ISBN 13: 9783319849126
Language: English
US$ 138.84
Convert currencyUS$ 35.95 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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
Published by Springer International Publishing, 2017
ISBN 10: 331952481X ISBN 13: 9783319524818
Language: English
US$ 138.84
Convert currencyUS$ 36.87 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Condition: New. pp. 431.
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US$ 197.56
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Add to basketHardcover. Condition: Brand New. 452 pages. 9.25x6.10x1.18 inches. In Stock.
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US$ 207.01
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US$ 172.70
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Add to basketCondition: New. Print on Demand pp. 431.
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US$ 188.54
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Add to basketCondition: New. PRINT ON DEMAND pp. 431.
