Overview
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Undergraduate Topics in Computer Science (UTICS)
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About this book
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.
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Keywords
Table of contents (10 chapters)
Authors and Affiliations
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.
Bibliographic Information
Book Title: Concise Computer Vision
Book Subtitle: An Introduction into Theory and Algorithms
Authors: Reinhard Klette
Series Title: Undergraduate Topics in Computer Science
DOI: https://doi.org/10.1007/978-1-4471-6320-6
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London Ltd., part of Springer Nature 2014
Softcover ISBN: 978-1-4471-6319-0Published: 20 January 2014
eBook ISBN: 978-1-4471-6320-6Published: 04 January 2014
Series ISSN: 1863-7310
Series E-ISSN: 2197-1781
Edition Number: 1
Number of Pages: XVIII, 429
Number of Illustrations: 69 b/w illustrations, 229 illustrations in colour
Topics: Image Processing and Computer Vision, Artificial Intelligence