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Concise Computer Vision (2nd Edition)

An Introduction into Theory and Algorithms

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Springer

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Recommend to library

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Paperback - 9781447174141

13 June 2019

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Ebook - 9781447174165

13 June 2019

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This textbook provides a concise and accessible general introduction to the essential topics in computer vision, complete with classroom-tested programming exercises and review questions supplied at the end of each chapter....

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This textbook provides a concise and accessible general introduction to the essential topics in computer vision, complete with classroom-tested programming exercises and review questions supplied at the end of each chapter. This enhanced and updated new edition also includes two new chapters on uncertainties and on learning.

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Presents an accessible general introduction to the essential topics in computer vision

Provides classroom-tested programming exercises and review questions at the end of each chapter

Includes supporting information on historical context, suggestions for further reading and hints on mathematical subjects under discussion

Enhanced and updated new edition, containing new content on uncertainties and on learning

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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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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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