Advanced Topics in Computer Vision
Format: Hardcover
ISBN13: 9781447155195
Hardcover|9781447155195
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Overview
This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification; describes how the four-color theorem can be used for solving MRF problems; introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule; discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video.
| ISBN-13 | 9781447155195 |
|---|---|
| ISBN-10 | 144715519X |
| Weight | 19.26 Pounds |
| Dimensions | 6.30 x 1.00 x 9.20 In |
| List Price | $109.99 |
| Edition | 1st Edition |
| Format | Hardcover |
|---|---|
| Language | English |
| Pages | xiv, 433 pages |
| Publisher | Springer |
| Published On | 2013-10-07 |
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Alibris
Sparks, NV, USA
Print on demand Sewn binding. Cloth over boards. 433 p. Contains: Illustrations, black & white, Ill...
Free delivery by: 01 Apr 2026