Concise Computer Vision :An Introduction into Theory and Algorithms - Undergraduate Topics in Computer Science
Concise Computer Vision :An Introduction into Theory and Algorithms - Undergraduate Topics in Computer Science
paperback
Published:
20 January, 2014
paperback
Published:
20 January, 2014
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Description
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.
More Details
| Type | Book |
|---|---|
| ISBN13 | 9781447163190 |
| ISBN10 | 1447163192 |
| Number Of Pages | 429 |
| Item Weight | 1000 g |
| Publisher / Reseller | Springer London Ltd |
| Format | paperback |
| Edition | 2014 ed. |
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Author's Bio
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.