Advanced Topics in Computer Vision

丛 书 名：Advances in Computer Vision and Pattern Recognition

版本说明：1

作     者：Martin Weinmann (auth.), Giovanni Maria Farinella, Sebastiano Battiato, Roberto Cipolla (eds.) 

I S B N：(纸本) 9781447155195;9781447155201 

出 版 社：Springer-Verlag London 

出 版 年：2013年

页      数：437页

摘      要：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.