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Advanced Topics in Computer Vision

Edited by Giovanni Maria Farinella, Edited by Sebastiano Battiato, Edited by Roberto Cipolla

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normal price: R 4 256.95

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| book description |

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.

| product details |



Normally shipped | Available from overseas. Usually dispatched in 14 days
Publisher | Springer London Ltd
Published date | 7 Oct 2013
Language |
Format | Hardback
Pages | 433
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-4471-5519-5
Readership Age |
BISAC | computers / computer vision


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