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Concise Computer Vision

An Introduction into Theory and Algorithms

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Publisher:

Springer

Pages: 429
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Recommend to library

AVAILABLE FORMATS

Paperback - 9781447163190

20 January 2014

$59.99

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Ebook - 9781447163206

04 January 2014

$44.99

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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:...

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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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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

1: Image Data
2: Image Processing
3: Image Analysis
4: Dense Motion Analysis
5: Image Segmentation
6: Cameras, Coordinates and Calibration
7: 3D Shape Reconstruction
8: Stereo Matching
9: Feature Detection and Tracking
10: Object Detection.

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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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