Orthogonal Image Moments For Human Centric Visual Pattern Recognition

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Orthogonal Image Moments for Human-Centric Visual Pattern Recognition

S. M. Mahbubur Rahman,Tamanna Howlader,Dimitrios Hatzinakos
Orthogonal Image Moments for Human Centric Visual Pattern Recognition Book PDF

Author : S. M. Mahbubur Rahman,Tamanna Howlader,Dimitrios Hatzinakos
Publisher : Springer Nature
Page : 149 pages
File Size : 55,6 Mb
Release : 2019-10-11
Category : Computers
ISBN : 9789813299450

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Orthogonal Image Moments for Human-Centric Visual Pattern Recognition by S. M. Mahbubur Rahman,Tamanna Howlader,Dimitrios Hatzinakos Pdf

Instead of focusing on the mathematical properties of moments, this book is a compendium of research that demonstrates the effectiveness of orthogonal moment-based features in face recognition, expression recognition, fingerprint recognition and iris recognition. The usefulness of moments and their invariants in pattern recognition is well known. What is less well known is how orthogonal moments may be applied to specific problems in human-centric visual pattern recognition. Unlike previous books, this work highlights the fundamental issues involved in moment-based pattern recognition, from the selection of discriminative features in a high-dimensional setting, to addressing the question of how to classify a large number of patterns based on small training samples. In addition to offering new concepts that illustrate the use of statistical methods in addressing some of these issues, the book presents recent results and provides guidance on implementing the methods. Accordingly, it will be of interest to researchers and graduate students working in the broad areas of computer vision and visual pattern recognition.

Moments and Moment Invariants in Pattern Recognition

Jan Flusser,Barbara Zitova,Tomas Suk
Moments and Moment Invariants in Pattern Recognition Book PDF

Author : Jan Flusser,Barbara Zitova,Tomas Suk
Publisher : John Wiley & Sons
Page : 312 pages
File Size : 46,7 Mb
Release : 2009-11-04
Category : Technology & Engineering
ISBN : 0470684763

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Moments and Moment Invariants in Pattern Recognition by Jan Flusser,Barbara Zitova,Tomas Suk Pdf

Moments as projections of an image’s intensity onto a proper polynomial basis can be applied to many different aspects of image processing. These include invariant pattern recognition, image normalization, image registration, focus/ defocus measurement, and watermarking. This book presents a survey of both recent and traditional image analysis and pattern recognition methods, based on image moments, and offers new concepts of invariants to linear filtering and implicit invariants. In addition to the theory, attention is paid to efficient algorithms for moment computation in a discrete domain, and to computational aspects of orthogonal moments. The authors also illustrate the theory through practical examples, demonstrating moment invariants in real applications across computer vision, remote sensing and medical imaging. Key features: Presents a systematic review of the basic definitions and properties of moments covering geometric moments and complex moments. Considers invariants to traditional transforms – translation, rotation, scaling, and affine transform - from a new point of view, which offers new possibilities of designing optimal sets of invariants. Reviews and extends a recent field of invariants with respect to convolution/blurring. Introduces implicit moment invariants as a tool for recognizing elastically deformed objects. Compares various classes of orthogonal moments (Legendre, Zernike, Fourier-Mellin, Chebyshev, among others) and demonstrates their application to image reconstruction from moments. Offers comprehensive advice on the construction of various invariants illustrated with practical examples. Includes an accompanying website providing efficient numerical algorithms for moment computation and for constructing invariants of various kinds, with about 250 slides suitable for a graduate university course. Moments and Moment Invariants in Pattern Recognition is ideal for researchers and engineers involved in pattern recognition in medical imaging, remote sensing, robotics and computer vision. Post graduate students in image processing and pattern recognition will also find the book of interest.

Moments and Moment Invariants in Pattern Recognition

Jan Flusser,Barbara Zitova,Tomas Suk
Moments and Moment Invariants in Pattern Recognition Book PDF

Author : Jan Flusser,Barbara Zitova,Tomas Suk
Publisher : Wiley
Page : 312 pages
File Size : 52,8 Mb
Release : 2009-12-14
Category : Technology & Engineering
ISBN : 0470699876

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Moments and Moment Invariants in Pattern Recognition by Jan Flusser,Barbara Zitova,Tomas Suk Pdf

Moments as projections of an image’s intensity onto a proper polynomial basis can be applied to many different aspects of image processing. These include invariant pattern recognition, image normalization, image registration, focus/ defocus measurement, and watermarking. This book presents a survey of both recent and traditional image analysis and pattern recognition methods, based on image moments, and offers new concepts of invariants to linear filtering and implicit invariants. In addition to the theory, attention is paid to efficient algorithms for moment computation in a discrete domain, and to computational aspects of orthogonal moments. The authors also illustrate the theory through practical examples, demonstrating moment invariants in real applications across computer vision, remote sensing and medical imaging. Key features: Presents a systematic review of the basic definitions and properties of moments covering geometric moments and complex moments. Considers invariants to traditional transforms – translation, rotation, scaling, and affine transform - from a new point of view, which offers new possibilities of designing optimal sets of invariants. Reviews and extends a recent field of invariants with respect to convolution/blurring. Introduces implicit moment invariants as a tool for recognizing elastically deformed objects. Compares various classes of orthogonal moments (Legendre, Zernike, Fourier-Mellin, Chebyshev, among others) and demonstrates their application to image reconstruction from moments. Offers comprehensive advice on the construction of various invariants illustrated with practical examples. Includes an accompanying website providing efficient numerical algorithms for moment computation and for constructing invariants of various kinds, with about 250 slides suitable for a graduate university course. Moments and Moment Invariants in Pattern Recognition is ideal for researchers and engineers involved in pattern recognition in medical imaging, remote sensing, robotics and computer vision. Post graduate students in image processing and pattern recognition will also find the book of interest.

Human-Centric Machine Vision

Fabio Solari,Manuela Chessa,Silvio P. Sabatini
Human Centric Machine Vision Book PDF

Author : Fabio Solari,Manuela Chessa,Silvio P. Sabatini
Publisher : BoD – Books on Demand
Page : 192 pages
File Size : 48,6 Mb
Release : 2012-05-02
Category : Computers
ISBN : 9789535105633

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Human-Centric Machine Vision by Fabio Solari,Manuela Chessa,Silvio P. Sabatini Pdf

Recently, the algorithms for the processing of the visual information have greatly evolved, providing efficient and effective solutions to cope with the variability and the complexity of real-world environments. These achievements yield to the development of Machine Vision systems that overcome the typical industrial applications, where the environments are controlled and the tasks are very specific, towards the use of innovative solutions to face with everyday needs of people. The Human-Centric Machine Vision can help to solve the problems raised by the needs of our society, e.g. security and safety, health care, medical imaging, and human machine interface. In such applications it is necessary to handle changing, unpredictable and complex situations, and to take care of the presence of humans.

Human Centric Visual Analysis with Deep Learning

Liang Lin,Dongyu Zhang,Ping Luo,Wangmeng Zuo
Human Centric Visual Analysis with Deep Learning Book PDF

Author : Liang Lin,Dongyu Zhang,Ping Luo,Wangmeng Zuo
Publisher : Springer Nature
Page : 156 pages
File Size : 51,8 Mb
Release : 2019-11-13
Category : Computers
ISBN : 9789811323874

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Human Centric Visual Analysis with Deep Learning by Liang Lin,Dongyu Zhang,Ping Luo,Wangmeng Zuo Pdf

This book introduces the applications of deep learning in various human centric visual analysis tasks, including classical ones like face detection and alignment and some newly rising tasks like fashion clothing parsing. Starting from an overview of current research in human centric visual analysis, the book then presents a tutorial of basic concepts and techniques of deep learning. In addition, the book systematically investigates the main human centric analysis tasks of different levels, ranging from detection and segmentation to parsing and higher-level understanding. At last, it presents the state-of-the-art solutions based on deep learning for every task, as well as providing sufficient references and extensive discussions. Specifically, this book addresses four important research topics, including 1) localizing persons in images, such as face and pedestrian detection; 2) parsing persons in details, such as human pose and clothing parsing, 3) identifying and verifying persons, such as face and human identification, and 4) high-level human centric tasks, such as person attributes and human activity understanding. This book can serve as reading material and reference text for academic professors / students or industrial engineers working in the field of vision surveillance, biometrics, and human-computer interaction, where human centric visual analysis are indispensable in analysing human identity, pose, attributes, and behaviours for further understanding.

Multispectral Image Processing and Pattern Recognition

Jun Shen,Patrick Shen-pei Wang,Tianxu Zhang
Multispectral Image Processing and Pattern Recognition Book PDF

Author : Jun Shen,Patrick Shen-pei Wang,Tianxu Zhang
Publisher : World Scientific
Page : 144 pages
File Size : 49,5 Mb
Release : 2001
Category : Computers
ISBN : 9812797599

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Multispectral Image Processing and Pattern Recognition by Jun Shen,Patrick Shen-pei Wang,Tianxu Zhang Pdf

A study of multispectral image processing and pattern recognition. It covers: geometric and orthogonal moments; minimum description length method for facet matching; an integrated vision system for ALV navigation; fuzzy Bayesian networks; and more.

Moment Functions in Image Analysis

R. Mukundan,K. R. Ramakrishnan
Moment Functions in Image Analysis Book PDF

Author : R. Mukundan,K. R. Ramakrishnan
Publisher : World Scientific
Page : 170 pages
File Size : 51,7 Mb
Release : 1998
Category : Computers
ISBN : 9810235240

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Moment Functions in Image Analysis by R. Mukundan,K. R. Ramakrishnan Pdf

This book is a comprehensive treatise on the theory and applications of moment functions in image analysis. Moment functions are widely used in various realms of computer vision and image processing. Numerous algorithms and techniques have been developed using image moments, in the areas of pattern recognition object identification, three-dimensional object pose estimation, robot sensing, image coding and reconstruction. This book provides a compilation of the theoretical aspects related to different types of moment functions, and their applications in the above areas. The book is organized into two parts. The first part discusses the fundamental concepts behind important moments such as geometric moments, complex moments, Legendre moments, Zernike moments, and moment tensors. Most of the commonly used properties of moment functions and the mathematical framework for the derivation of basic theorems and results are discussed in detail. This includes the derivation of moment invariants, implementation aspects of moments, transform properties, and fast methods for computing the moment functions for both binary and gray-level images. The second part presents the key application areas of moments such as pattern recognition, object identification, image-based pose estimation, edge detection, clustering, segmentation, coding and reconstruction. Important algorithms in each of these areas are discussed. A comprehensive list of bibliographical references on image moments is also included.

Pattern Recognition

Peng-Yeng Yin
Pattern Recognition Book PDF

Author : Peng-Yeng Yin
Publisher : BoD – Books on Demand
Page : 640 pages
File Size : 44,8 Mb
Release : 2008-11-01
Category : Computers
ISBN : 9789537619244

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Pattern Recognition by Peng-Yeng Yin Pdf

A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between technologies of effective visual features and the human-brain cognition process. Effective visual features are made possible through the rapid developments in appropriate sensor equipments, novel filter designs, and viable information processing architectures. While the understanding of human-brain cognition process broadens the way in which the computer can perform pattern recognition tasks. The present book is intended to collect representative researches around the globe focusing on low-level vision, filter design, features and image descriptors, data mining and analysis, and biologically inspired algorithms. The 27 chapters coved in this book disclose recent advances and new ideas in promoting the techniques, technology and applications of pattern recognition.

Proceedings of the 2nd International Conference on Electronic Engineering and Renewable Energy Systems

Bekkay Hajji,Adel Mellit,Giuseppe Marco Tina,Abdelhamid Rabhi,Jerome Launay,Salah Eddine Naimi
Proceedings of the 2nd International Conference on Electronic Engineering and Renewable Energy Systems Book PDF

Author : Bekkay Hajji,Adel Mellit,Giuseppe Marco Tina,Abdelhamid Rabhi,Jerome Launay,Salah Eddine Naimi
Publisher : Springer Nature
Page : 858 pages
File Size : 50,6 Mb
Release : 2020-08-14
Category : Technology & Engineering
ISBN : 9789811562594

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Proceedings of the 2nd International Conference on Electronic Engineering and Renewable Energy Systems by Bekkay Hajji,Adel Mellit,Giuseppe Marco Tina,Abdelhamid Rabhi,Jerome Launay,Salah Eddine Naimi Pdf

This book includes papers presented at the Second International Conference on Electronic Engineering and Renewable Energy (ICEERE 2020), which focus on the application of artificial intelligence techniques, emerging technology and the Internet of things in electrical and renewable energy systems, including hybrid systems, micro-grids, networking, smart health applications, smart grid, mechatronics and electric vehicles. It particularly focuses on new renewable energy technologies for agricultural and rural areas to promote the development of the Euro-Mediterranean region. Given its scope, the book is of interest to graduate students, researchers and practicing engineers working in the fields of electronic engineering and renewable energy.

Advances in Reasoning-Based Image Processing Intelligent Systems

Roumen Kountchev,Kazumi Nakamatsu
Advances in Reasoning Based Image Processing Intelligent Systems Book PDF

Author : Roumen Kountchev,Kazumi Nakamatsu
Publisher : Springer Science & Business Media
Page : 460 pages
File Size : 50,6 Mb
Release : 2012-01-13
Category : Technology & Engineering
ISBN : 9783642246937

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Advances in Reasoning-Based Image Processing Intelligent Systems by Roumen Kountchev,Kazumi Nakamatsu Pdf

The book puts special stress on the contemporary techniques for reasoning-based image processing and analysis: learning based image representation and advanced video coding; intelligent image processing and analysis in medical vision systems; similarity learning models for image reconstruction; visual perception for mobile robot motion control, simulation of human brain activity in the analysis of video sequences; shape-based invariant features extraction; essential of paraconsistent neural networks, creativity and intelligent representation in computational systems. The book comprises 14 chapters. Each chapter is a small monograph, representing resent investigations of authors in the area. The topics of the chapters cover wide scientific and application areas and complement each-other very well. The chapters’ content is based on fundamental theoretical presentations, followed by experimental results and comparison with similar techniques. The size of the chapters is well-ballanced which permits a thorough presentation of the investigated problems. The authors are from universities and R&D institutions all over the world; some of the chapters are prepared by international teams. The book will be of use for university and PhD students, researchers and software developers working in the area of digital image and video processing and analysis.

Handbook of Pattern Recognition & Computer Vision

Chi-hau Chen,Louis-Fran‡ois Pau
Handbook of Pattern Recognition Computer Vision Book PDF

Author : Chi-hau Chen,Louis-Fran‡ois Pau
Publisher : World Scientific
Page : 1045 pages
File Size : 42,9 Mb
Release : 1999
Category : Computers
ISBN : 9789810230715

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Handbook of Pattern Recognition & Computer Vision by Chi-hau Chen,Louis-Fran‡ois Pau Pdf

Annotation. Presents the latest research findings in theory, techniques, algorithms, and major applications of pattern recognition and computer vision, as well as new hardware and architecture aspects. Contains sections on basic methods in pattern recognition and computer vision, nine recognition applications, inspection and robotic applications, and architectures and technology. Some areas discussed include cluster analysis, 3D vision of dynamic objects, speech recognition, computer vision in food handling, and video content analysis and retrieval. This second edition is extensively revised to describe progress in the field since 1993. Chen is affiliated with the electrical and computer engineering department at the University of Massachusetts-Dartmouth. Annotation copyrighted by Book News, Inc., Portland, OR.

Handbook of Pattern Recognition and Computer Vision

C. H. Chen,L. F. Pau,P. S. Wang
Handbook of Pattern Recognition and Computer Vision Book PDF

Author : C. H. Chen,L. F. Pau,P. S. Wang
Publisher : World Scientific
Page : 1000 pages
File Size : 43,7 Mb
Release : 1993-08
Category : Computers
ISBN : 9810222769

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Handbook of Pattern Recognition and Computer Vision by C. H. Chen,L. F. Pau,P. S. Wang Pdf

"The book provides an up-to-date and authoritative treatment of pattern recognition and computer vision, with chapters written by leaders in the field. On the basic methods in pattern recognition and computer vision, topics range from statistical pattern recognition to array grammars to projective geometry to skeletonization, and shape and texture measures."--BOOK JACKET.

Handbook Of Pattern Recognition And Computer Vision (2nd Edition)

Chi Hau Chen,Louis-francois Pau,Patrick S P Wang
Handbook Of Pattern Recognition And Computer Vision 2nd Edition Book PDF

Author : Chi Hau Chen,Louis-francois Pau,Patrick S P Wang
Publisher : World Scientific
Page : 1045 pages
File Size : 45,5 Mb
Release : 1999-03-12
Category : Computers
ISBN : 9789814497640

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Handbook Of Pattern Recognition And Computer Vision (2nd Edition) by Chi Hau Chen,Louis-francois Pau,Patrick S P Wang Pdf

The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.

Supervised and Unsupervised Pattern Recognition

Evangelia Miche Tzanakou
Supervised and Unsupervised Pattern Recognition Book PDF

Author : Evangelia Miche Tzanakou
Publisher : CRC Press
Page : 441 pages
File Size : 54,5 Mb
Release : 2017-12-19
Category : Technology & Engineering
ISBN : 9781351835558

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Supervised and Unsupervised Pattern Recognition by Evangelia Miche Tzanakou Pdf

There are many books on neural networks, some of which cover computational intelligence, but none that incorporate both feature extraction and computational intelligence, as Supervised and Unsupervised Pattern Recognition does. This volume describes the application of a novel, unsupervised pattern recognition scheme to the classification of various types of waveforms and images. This substantial collection of recent research begins with an introduction to Neural Networks, classifiers, and feature extraction methods. It then addresses unsupervised and fuzzy neural networks and their applications to handwritten character recognition and recognition of normal and abnormal visual evoked potentials. The third section deals with advanced neural network architectures-including modular design-and their applications to medicine and three-dimensional NN architecture simulating brain functions. The final section discusses general applications and simulations, such as the establishment of a brain-computer link, speaker identification, and face recognition. In the quickly changing field of computational intelligence, every discovery is significant. Supervised and Unsupervised Pattern Recognition gives you access to many notable findings in one convenient volume.

Dictionary of Computer Vision and Image Processing

Robert B. Fisher,Toby P. Breckon,Kenneth Dawson-Howe,Andrew Fitzgibbon,Craig Robertson,Emanuele Trucco,Christopher K. I. Williams
Dictionary of Computer Vision and Image Processing Book PDF

Author : Robert B. Fisher,Toby P. Breckon,Kenneth Dawson-Howe,Andrew Fitzgibbon,Craig Robertson,Emanuele Trucco,Christopher K. I. Williams
Publisher : John Wiley & Sons
Page : 442 pages
File Size : 47,8 Mb
Release : 2013-11-08
Category : Computers
ISBN : 9781118706817

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Dictionary of Computer Vision and Image Processing by Robert B. Fisher,Toby P. Breckon,Kenneth Dawson-Howe,Andrew Fitzgibbon,Craig Robertson,Emanuele Trucco,Christopher K. I. Williams Pdf

Written by leading researchers, the 2nd Edition of the Dictionary of Computer Vision & Image Processing is a comprehensive and reliable resource which now provides explanations of over 3500 of the most commonly used terms across image processing, computer vision and related fields including machine vision. It offers clear and concise definitions with short examples or mathematical precision where necessary for clarity that ultimately makes it a very usable reference for new entrants to these fields at senior undergraduate and graduate level, through to early career researchers to help build up knowledge of key concepts. As the book is a useful source for recent terminology and concepts, experienced professionals will also find it a valuable resource for keeping up to date with the latest advances. New features of the 2nd Edition: Contains more than 1000 new terms, notably an increased focus on image processing and machine vision terms; Includes the addition of reference links across the majority of terms pointing readers to further information about the concept under discussion so that they can continue to expand their understanding; Now available as an eBook with enhanced content: approximately 50 videos to further illustrate specific terms; active cross-linking between terms so that readers can easily navigate from one related term to another and build up a full picture of the topic in question; and hyperlinked references to fully embed the text in the current literature.