Advanced Topics in Computer Vision

Giovanni Maria Farinella (Curatore)

Sebastiano Battiato (Curatore)

Springer London Ltd, 2013

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.

• Curatore: Giovanni Maria Farinella, Sebastiano Battiato
• Editore: Springer London Ltd
• Collana: Advances in Computer Vision and Pattern Recognition
• Anno: 2013
• Rilegatura: Hardback
• Pagine: 433 p.
• Dimensioni: 235 x 155 mm
• EAN: 9781447155195

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