Pattern Recognition

by Applied Research Press

For more than 40 years, pattern recognition approaches are continuingly improving and have been used in an increasing number of areas with great success. This book discloses recent advances and new ideas in approaches and applications for pattern recognition. The 20 chapters selected in this book cover the major topics in pattern recognition. These chapters propose state-of-the-art approaches and cutting-edge research results. The book is ideal for classroom use, for student projects and for reference. I could not thank enough to the contributions of the authors. This book would not have been possible without their support. Chapters include: Calibration of a Structured Light System Using Planar Objects, Background Modelling with Associated Confidence, New Trends in Motion Segmentation, Volume Decomposition and Hierarchical Skeletonization for Shape Analysis, Structure and Motion from Image Sequences Based on Multi-Scale Bayesian Network, A Robust Iterative Multiframe SRR Based on Hampel Stochastic Estimation with Hampel-Tikhonov Regularization, Novelty Detection: an Approach to Foreground Detection in Videos, Application of the Wrapper Framework for Robust Image Segmentation For Object Detection and Recognition, Projective Registration with Manifold Optimization, Learning Pattern Classification Tasks with Imbalanced Data Sets, Image Kernel for Recognition, Statistical Inference on Markov Random Fields: Parameter Estimation, Asymptotic Evaluation and Contextual Classification of NMR Multispectral Images, BIVSEE - A Biologically Inspired Vision System for Enclosed Environments, Multidirectional Binary Pattern for Face Recognition, Bayesian Video Face Detection with Applications in Broadcasting, 3D Human Posture Estimation Using HOG Features of Monocular Images, Frequency Shifting for Emotional Speaker Recognition, Pattern Recognition in Medical Image Diagnosis, Neural Network Based Classification of Myocardial Infarction: A Comparative Study of Wavelet and Fourier Transforms, and A Cellular Automaton Framework for Image Processing on GPU.

378 pages, Paperback

First published November 1, 2014