Concise Computer Vision: An Introduction into Theory and Algorithms (Undergraduate Topics in Computer Science)
Klette, Reinhard
ISBN 10: 1447163192 ISBN 13: 9781447163190
Published by Springer, 2014
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About this Item
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Most items will be dispatched the same or the next working day. A copy that has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Seller Inventory # wbs4756174970
Synopsis:
Addressing the need for a concise and accessible introduction to the complex field of computer vision, this text reinforces its presentation of the essential topics with class-tested exercises. The coverage includes an historical overview of the technology.
About the Author: Dr. Reinhard Klette, FRSNZ, is a Professor at the Tamaki Innovation Campus of The University of Auckland, New Zealand. His numerous other publications include the Springer title Euclidean Shortest Paths: Exact or Approximate Algorithms.
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Bibliographic Details
Title: Concise Computer Vision: An Introduction ...
Publisher: Springer
Publication Date: 2014
Binding: Soft cover
Condition: Very Good
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Concise Computer Vision : An Introduction into Theory and Algorithms
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ISBN 10: 1447163192
ISBN 13: 9781447163190
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Concise Computer Vision: An Introduction into Theory and Algorithms (Undergraduate Topics in Computer Science)
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Concise Computer Vision
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ISBN 10: 1447163192
ISBN 13: 9781447163190
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents an accessible general introduction to the essential topics in computer visionProvides classroom-tested programming exercises and review questions at the end of each chapterIncludes supporting information on historical context, sugg. Seller Inventory # 4185621
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Concise Computer Vision | An Introduction into Theory and Algorithms
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Taschenbuch. Condition: Neu. Concise Computer Vision | An Introduction into Theory and Algorithms | Reinhard Klette | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2014 | Springer | EAN 9781447163190 | Verantwortliche Person für die EU: Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, productsafety[at]springernature[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 126838981
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Concise Computer Vision
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Springer London, Springer London Jan 2014, 2014
ISBN 10: 1447163192
ISBN 13: 9781447163190
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Taschenbuch. Condition: Neu. Neuware -This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Features: provides an introduction to the basic notation and mathematical concepts for describing an image and the key concepts for mapping an image into an image; explains the topologic and geometric basics for analysing image regions and distributions of image values and discusses identifying patterns in an image; introduces optic flow for representing dense motion and various topics in sparse motion analysis; describes special approaches for image binarization and segmentation of still images or video frames; examines the basic components of a computer vision system; reviews different techniques for vision-based 3D shape reconstruction; includes a discussion of stereo matchers and the phase-congruency model for image features; presents an introduction into classification and learning. 448 pp. Englisch. Seller Inventory # 9781447163190
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Concise Computer Vision
Published by
Springer London Jan 2014, 2014
ISBN 10: 1447163192
ISBN 13: 9781447163190
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Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook provides an accessible general introduction to the essential topics in computer vision. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Features: provides an introduction to the basic notation and mathematical concepts for describing an image and the key concepts for mapping an image into an image; explains the topologic and geometric basics for analysing image regions and distributions of image values and discusses identifying patterns in an image; introduces optic flow for representing dense motion and various topics in sparse motion analysis; describes special approaches for image binarization and segmentation of still images or video frames; examines the basic components of a computer vision system; reviews different techniques for vision-based 3D shape reconstruction; includes a discussion of stereo matchers and the phase-congruency model for image features; presents an introduction into classification and learning. 448 pp. Englisch. Seller Inventory # 9781447163190