Description: Advanced Topics in Computer Vision Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Giovanni Maria Farinella, Sebastiano Battiato, Roberto Cipolla Format: Hardback Publisher: Springer London Ltd, United Kingdom Imprint: Springer London Ltd ISBN-13: 9781447155195, 978-1447155195 Synopsis 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.
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Location: Aldershot
End Time: 2024-12-12T09:24:15.000Z
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Book Title: Advanced Topics in Computer Vision
Number of Pages: 433 Pages
Language: English
Publication Name: Advanced Topics in Computer Vision
Publisher: Springer London LTD
Publication Year: 2013
Subject: Computer Science
Item Height: 235 mm
Item Weight: 8734 g
Type: Textbook
Author: Sebastiano Battiato, Roberto Cipolla, Giovanni Maria Farinella
Series: Advances in Computer Vision and Pattern Recognition
Item Width: 155 mm
Format: Hardcover
