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Book 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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Advanced Topics in Computer Vision
• Author: Giovanni Maria Farinella, Sebastiano Battiato, Roberto Cipolla
• Language: English
• Binding: Paperback
• Number of pages: 433
• EAN: 9781447170259
• ISBN: 1447170253
• ID: 13785804
• Publisher: Springer London Ltd
• Weight: 7545 g
• Dimensions: 235 × 155 × 17 mm
• Date of publishing: 23. August 2016

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