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Concise Computer Vision: An Introduction into Theory and Algorithms. 2014 ed.
・ISBN 978-1-4471-6319-0 paper EUR 44.99
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お気に入り
★★★
| 著者・編者 | Klette, Reinhard, |
|---|---|
| シリーズ | (Undergraduate Topics in Computer Science) |
| 出版社 | (Springer London Ltd, UK) |
| 出版年月 | 2014 |
| ページ数 | 429 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-18716＞ |
解説
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.