Applied Pattern Recognition

by Horst Bunke (Editor), Abraham Kandel (Editor), Mark Last (Editor)

Overview

A sharp increase in the computing power of modern computers, accompanied by a decrease in the data storage costs, has triggered the development of extremely powerful algorithms that can analyze complex patterns in large amounts of data within a very short period of time. Consequently, it has become possible to apply pattern recognition techniques to new tasks characterized by tight real-time requirements (e.g., person identification) and/or high complexity of raw data (e.g., clustering trajectories of mobile objects). The main goal of this book is to cover some of the latest application domains of pattern recognition while presenting novel techniques that have been developed or customized in those domains.

Product Details

ISBN-13:	9783642095542
Publisher:	Springer Berlin Heidelberg
Publication date:	11/23/2010
Series:	Studies in Computational Intelligence , #91
Edition description:	Softcover reprint of hardcover 1st ed. 2008
Pages:	246
Product dimensions:	6.10(w) x 9.25(h) x 0.24(d)

Table of Contents

Face Recognition Applications.- Skin-based Face Detection-Extraction and Recognition of Facial Expressions.- Facial Image Processing.- Face Recognition and Pose Estimation with Parametric Linear Subspaces.- Spatio-Temporal Patterns.- 4D Segmentation of Cardiac Data Using Active Surfaces with Spatiotemporal Shape Priors.- Measuring Similarity Between Trajectories of Mobile Objects.- Graph-Based Methods.- Matching of Hypergraphs — Algorithms, Applications, and Experiments.- Feature-Driven Emergence of Model Graphs for Object Recognition and Categorization.- Special Applications.- A Wavelet-based Statistical Method for Chinese Writer Identification.- Texture Analysis by Accurate Identification of a Generic Markov–Gibbs Model.