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Handbook Of Pattern Recognition And Computer Vision (6th Edition)

Handbook Of Pattern Recognition And Computer Vision (6th Edition) PDF Author: Chen Chi Hau
Publisher: World Scientific
ISBN: 9811211086
Category : Computers
Languages : en
Pages : 404

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Book Description

Handbook Of Pattern Recognition And Computer Vision (6th Edition)

Handbook Of Pattern Recognition And Computer Vision (6th Edition) PDF Author: Chen Chi Hau
Publisher: World Scientific
ISBN: 9811211086
Category : Computers
Languages : en
Pages : 404

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Book Description


Computational Intelligence and Image Processing in Medical Applications

Computational Intelligence and Image Processing in Medical Applications PDF Author: C H Chen
Publisher: World Scientific
ISBN: 9811257469
Category :
Languages : en
Pages : 336

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Book Description


Guide to 3D Vision Computation

Guide to 3D Vision Computation PDF Author: Kenichi Kanatani
Publisher: Springer
ISBN: 3319484931
Category : Computers
Languages : en
Pages : 321

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Book Description
This classroom-tested and easy-to-understand textbook/reference describes the state of the art in 3D reconstruction from multiple images, taking into consideration all aspects of programming and implementation. Unlike other computer vision textbooks, this guide takes a unique approach in which the initial focus is on practical application and the procedures necessary to actually build a computer vision system. The theoretical background is then briefly explained afterwards, highlighting how one can quickly and simply obtain the desired result without knowing the derivation of the mathematical detail. Features: reviews the fundamental algorithms underlying computer vision; describes the latest techniques for 3D reconstruction from multiple images; summarizes the mathematical theory behind statistical error analysis for general geometric estimation problems; presents derivations at the end of each chapter, with solutions supplied at the end of the book; provides additional material at an associated website.

Handbook Of Pattern Recognition And Computer Vision (5th Edition)

Handbook Of Pattern Recognition And Computer Vision (5th Edition) PDF Author: Chi Hau Chen
Publisher: World Scientific
ISBN: 9814656542
Category : Computers
Languages : en
Pages : 584

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Book Description
Pattern recognition, image processing and computer vision are closely linked areas which have seen enormous progress in the last fifty years. Their applications in our daily life, commerce and industry are growing even more rapidly than theoretical advances. Hence, the need for a new handbook in pattern recognition and computer vision every five or six years as envisioned in 1990 is fully justified and valid.The book consists of three parts: (1) Pattern recognition methods and applications; (2) Computer vision and image processing; and (3) Systems, architecture and technology. This book is intended to capture the major developments in pattern recognition and computer vision though it is impossible to cover all topics.The chapters are written by experts from many countries, fully reflecting the strong international research interests in the areas. This fifth edition will complement the previous four editions of the book.

Optical Character Recognition Systems for Different Languages with Soft Computing

Optical Character Recognition Systems for Different Languages with Soft Computing PDF Author: Arindam Chaudhuri
Publisher: Springer
ISBN: 3319502522
Category : Technology & Engineering
Languages : en
Pages : 248

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Book Description
The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genetic algorithms, are tested using real texts written in different languages, such as English, French, German, Latin, Hindi and Gujrati, which have been extracted by publicly available datasets. The simulation studies, which are reported in details here, show that soft-computing based modeling of OCR systems performs consistently better than traditional models. Mainly intended as state-of-the-art survey for postgraduates and researchers in pattern recognition, optical character recognition and soft computing, this book will be useful for professionals in computer vision and image processing alike, dealing with different issues related to optical character recognition.

Handbook of Pattern Recognition and Computer Vision

Handbook of Pattern Recognition and Computer Vision PDF Author: C. H. Chen
Publisher: World Scientific Publishing Company Incorporated
ISBN: 9789814656528
Category : Computers
Languages : en
Pages : 565

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Book Description
"For graduate students pursuing PhDs and professionals doing research and development in the pattern recognition and computer vision field, this is a book you shouldn't miss. Overall, this book has a rich set of techniques with a wide range of applications for pattern recognition and computer vision. This book will be useful to electrical engineering and computer science graduate students and researchers working in the field of machine vision." Computing Reviews Pattern recognition, image processing and computer vision are closely linked areas which have seen enormous progress in the last fifty years. Their applications in our daily life, commerce and industry are growing even more rapidly than theoretical advances. Hence, the need for a new handbook in pattern recognition and computer vision every five or six years as envisioned in 1990 is fully justified and valid. The book consists of three parts: (1) Pattern recognition methods and applications; (2) Computer vision and image processing; and (3) Systems, architecture and technology. This book is intended to capture the major developments in pattern recognition and computer vision though it is impossible to cover all topics. The chapters are written by experts from many countries, fully reflecting the strong international research interests in the areas. This fifth edition will complement the previous four editions of the book.

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing PDF Author: Hyung-Sup Jung
Publisher: MDPI
ISBN: 303921215X
Category : Technology & Engineering
Languages : en
Pages : 438

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Book Description
As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.

Handbook of Remote Biometrics

Handbook of Remote Biometrics PDF Author: Massimo Tistarelli
Publisher: Springer Science & Business Media
ISBN: 1848823851
Category : Computers
Languages : en
Pages : 381

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Book Description
The development of technologies for the identi?cation of individuals has driven the interest and curiosity of many people. Spearheaded and inspired by the Bertillon coding system for the classi?cation of humans based on physical measurements, scientists and engineers have been trying to invent new devices and classi?cation systems to capture the human identity from its body measurements. One of the main limitations of the precursors of today’s biometrics, which is still present in the vast majority of the existing biometric systems, has been the need to keep the device in close contact with the subject to capture the biometric measurements. This clearly limits the applicability and convenience of biometric systems. This book presents an important step in addressing this limitation by describing a number of methodologies to capture meaningful biometric information from a distance. Most materials covered in this book have been presented at the International Summer School on Biometrics which is held every year in Alghero, Italy and which has become a ?agship activity of the IAPR Technical Committee on Biometrics (IAPR TC4). The last four chapters of the book are derived from some of the best p- sentations by the participating students of the school. The educational value of this book is also highlighted by the number of proposed exercises and questions which will help the reader to better understand the proposed topics.

Document Analysis and Recognition with Wavelet and Fractal Theories

Document Analysis and Recognition with Wavelet and Fractal Theories PDF Author: Yuan Yan Tang
Publisher: World Scientific
ISBN: 9814401005
Category : Computers
Languages : en
Pages : 356

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Book Description
Basic Concepts of Document Analysis and Understanding; Basic Concepts of Fractal Dimension; Basic Concepts of Wavelet Theory; Document Analysis by Fractal Dimension; Text Extraction by Wavelet Decomposition; Rotation Invariant by Fractal Theory with Central Projection Transform (CPT); Wavelet-Based and Fractal-Based Methods for Script Identification; Writer Identification Using Hidden Markov Model in Wavelet Domain (WD-HMM).

Multiple View Geometry in Computer Vision

Multiple View Geometry in Computer Vision PDF Author: Richard Hartley
Publisher: Cambridge University Press
ISBN: 1139449141
Category : Computers
Languages : en
Pages :

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Book Description
A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.