English
资源说明：Series: Advances in Computer Vision and Pattern Recognition
Hardcover: 433 pages
Publisher: Springer; 2013 edition (September 24, 2013)
Language: English
ISBN-10: 144715519X
ISBN-13: 978-1447155195
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.
本源码包内暂不包含可直接显示的源代码文件，请下载源码包。
