Advanced Topics in Computer Vision

Ebook Details


Giovanni Maria Farinella, Sebastiano Battiato, Roberto Cipolla

Year 2013
Pages 433
Publisher Springer
Language en
ISBN 9781447155195
File Size 15.64 MB
File Format PDF
Download Counter 1,167
Google Book Link

Ebook 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.