Springer Registration and Recognition in Images and Videos: 532 (Studies in Computational Intelligence, 532)

Product Description This book contains a selection of articles covering key talks and tutorials held during the International Computer Vision Summer School - ICVSS. It details both theoretical and practical aspects of real computer vision problems. Review From the reviews:“This book provides an in-depth overview of the recent advances in computer vision, with a particular focus on images and videos. … this is a very good book and I would recommend it to anyone interested in learning more about the current state-of-the-art computer vision methodologies. … the book will be of interest to the wider computer vision community.” (Charalambos Poullis, Computing Reviews, May, 2014) From the Back Cover Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Summer School - ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art  research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry, and cover both theoretical and practical aspects of real Computer Vision problems.  The school is organized every year by University of Cambridge (Computer Vision and Robotics Group) and University of Catania (Image Processing Lab). Different topics are covered each year.This edited volume contains a selection of articles covering some of the talks and tutorials held during the last editions of the school. The chapters provide an in-depth overview of challenging areas with key references to the existing literature.