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books
| book details |
Advanced Topics in Computer Vision
Edited by Giovanni Maria Farinella, Edited by Sebastiano Battiato, Edited by Roberto Cipolla
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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 |
Publisher | Springer London Ltd
Published date | 23 Aug 2016
Language |
Format | Paperback / softback
Pages | 433
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-4471-7025-9
Readership Age |
BISAC | computers / computer vision
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