# Higher Order Dynamic Mode Decomposition and Its Applications

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## Higher Order Dynamic Mode Decomposition and Its Applications

Author | : Jose Manuel Vega,Soledad Le Clainche |

Publsiher | : Academic Press |

Total Pages | : 320 |

Release | : 2020-09-30 |

ISBN 10 | : 0128227664 |

ISBN 13 | : 9780128227664 |

Language | : EN, FR, DE, ES & NL |

**Higher Order Dynamic Mode Decomposition and Its Applications Book Review:**

Higher Order Dynamic Mode Decomposition and Its Applications provides detailed background theory, as well as several fully explained applications from a range of industrial contexts to help readers understand and use this innovative algorithm. Data-driven modelling of complex systems is a rapidly evolving field, which has applications in domains including engineering, medical, biological, and physical sciences, where it is providing ground-breaking insights into complex systems that exhibit rich multi-scale phenomena in both time and space. Starting with an introductory summary of established order reduction techniques like POD, DEIM, Koopman, and DMD, this book proceeds to provide a detailed explanation of higher order DMD, and to explain its advantages over other methods. Technical details of how the HODMD can be applied to a range of industrial problems will help the reader decide how to use the method in the most appropriate way, along with example MATLAB codes and advice on how to analyse and present results. Includes instructions for the implementation of the HODMD, MATLAB codes, and extended discussions of the algorithm Includes descriptions of other order reduction techniques, and compares their strengths and weaknesses Provides examples of applications involving complex flow fields, in contexts including aerospace engineering, geophysical flows, and wind turbine design

## Dynamic Mode Decomposition

Author | : J. Nathan Kutz,Steven L. Brunton,Bingni W. Brunton,Joshua L. Proctor |

Publsiher | : SIAM |

Total Pages | : 234 |

Release | : 2016-11-23 |

ISBN 10 | : 1611974496 |

ISBN 13 | : 9781611974492 |

Language | : EN, FR, DE, ES & NL |

**Dynamic Mode Decomposition Book Review:**

Data-driven dynamical systems is a burgeoning field?it connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-established methods in dynamical systems theory. This is a critically important new direction because the governing equations of many problems under consideration by practitioners in various scientific fields are not typically known. Thus, using data alone to help derive, in an optimal sense, the best dynamical system representation of a given application allows for important new insights. The recently developed dynamic mode decomposition (DMD) is an innovative tool for integrating data with dynamical systems theory. The DMD has deep connections with traditional dynamical systems theory and many recent innovations in compressed sensing and machine learning. Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems, the first book to address the DMD algorithm, presents a pedagogical and comprehensive approach to all aspects of DMD currently developed or under development; blends theoretical development, example codes, and applications to showcase the theory and its many innovations and uses; highlights the numerous innovations around the DMD algorithm and demonstrates its efficacy using example problems from engineering and the physical and biological sciences; and provides extensive MATLAB code, data for intuitive examples of key methods, and graphical presentations.

## 14th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2019

Author | : Francisco Martínez Álvarez,Alicia Troncoso Lora,José António Sáez Muñoz,Héctor Quintián,Emilio Corchado |

Publsiher | : Springer |

Total Pages | : 609 |

Release | : 2019-04-30 |

ISBN 10 | : 3030200558 |

ISBN 13 | : 9783030200558 |

Language | : EN, FR, DE, ES & NL |

**14th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2019 Book Review:**

This book includes 57 papers presented at the SOCO 2019 conference held in the historic city of Seville (Spain), in May 2019. Soft computing represents a set of computational techniques in machine learning, computer science and various engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. The selection of papers was extremely rigorous in order to maintain the high quality of the conference, which featured a number of special sessions, including sessions on: Soft Computing Methods in Manufacturing and Management Systems; Soft Computing Applications in the Field of Industrial and Environmental Enterprises; Optimization, Modeling and Control by Soft Computing Techniques; and Soft Computing in Aerospace, Mechanical and Civil Engineering: New methods and Industrial Applications.

## Data Driven Science and Engineering

Author | : Steven L. Brunton,J. Nathan Kutz |

Publsiher | : Cambridge University Press |

Total Pages | : 500 |

Release | : 2019-02-28 |

ISBN 10 | : 1108422098 |

ISBN 13 | : 9781108422093 |

Language | : EN, FR, DE, ES & NL |

**Data Driven Science and Engineering Book Review:**

This beginning graduate textbook teaches data science and machine learning methods for modeling, prediction, and control of complex systems.

## IUTAM Symposium on Model Order Reduction of Coupled Systems Stuttgart Germany May 22 25 2018

Author | : Jörg Fehr,Bernard Haasdonk |

Publsiher | : Springer |

Total Pages | : 222 |

Release | : 2019-07-19 |

ISBN 10 | : 3030210138 |

ISBN 13 | : 9783030210137 |

Language | : EN, FR, DE, ES & NL |

**IUTAM Symposium on Model Order Reduction of Coupled Systems Stuttgart Germany May 22 25 2018 Book Review:**

This volume contains the proceedings of the IUTAM Symposium on Model Order Reduction of Coupled System, held in Stuttgart, Germany, May 22–25, 2018. For the understanding and development of complex technical systems, such as the human body or mechatronic systems, an integrated, multiphysics and multidisciplinary view is essential. Many problems can be solved within one physical domain. For the simulation and optimization of the combined system, the different domains are connected with each other. Very often, the combination is only possible by using reduced order models such that the large-scale dynamical system is approximated with a system of much smaller dimension where the most dominant features of the large-scale system are retained as much as possible. The field of model order reduction (MOR) is interdisciplinary. Researchers from Engineering, Mathematics and Computer Science identify, explore and compare the potentials, challenges and limitations of recent and new advances.

## Data Analysis for Direct Numerical Simulations of Turbulent Combustion

Author | : Heinz Pitsch,Antonio Attili |

Publsiher | : Springer Nature |

Total Pages | : 292 |

Release | : 2020-05-28 |

ISBN 10 | : 3030447189 |

ISBN 13 | : 9783030447182 |

Language | : EN, FR, DE, ES & NL |

**Data Analysis for Direct Numerical Simulations of Turbulent Combustion Book Review:**

This book presents methodologies for analysing large data sets produced by the direct numerical simulation (DNS) of turbulence and combustion. It describes the development of models that can be used to analyse large eddy simulations, and highlights both the most common techniques and newly emerging ones. The chapters, written by internationally respected experts, invite readers to consider DNS of turbulence and combustion from a formal, data-driven standpoint, rather than one led by experience and intuition. This perspective allows readers to recognise the shortcomings of existing models, with the ultimate goal of quantifying and reducing model-based uncertainty. In addition, recent advances in machine learning and statistical inferences offer new insights on the interpretation of DNS data. The book will especially benefit graduate-level students and researchers in mechanical and aerospace engineering, e.g. those with an interest in general fluid mechanics, applied mathematics, and the environmental and atmospheric sciences.

## Turbulence Coherent Structures Dynamical Systems and Symmetry

Author | : Philip Holmes |

Publsiher | : Cambridge University Press |

Total Pages | : 386 |

Release | : 2012-02-23 |

ISBN 10 | : 1107008255 |

ISBN 13 | : 9781107008250 |

Language | : EN, FR, DE, ES & NL |

**Turbulence Coherent Structures Dynamical Systems and Symmetry Book Review:**

Describes methods revealing the structures and dynamics of turbulence for engineering, physical science and mathematics researchers working in fluid dynamics.

## 15th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2020

Author | : Álvaro Herrero,Carlos Cambra,Daniel Urda,Javier Sedano,Héctor Quintián,Emilio Corchado |

Publsiher | : Springer Nature |

Total Pages | : 876 |

Release | : 2020-08-28 |

ISBN 10 | : 303057802X |

ISBN 13 | : 9783030578022 |

Language | : EN, FR, DE, ES & NL |

**15th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2020 Book Review:**

This book contains accepted papers presented at SOCO 2020 conference held in the beautiful and historic city of Burgos (Spain), in September 2020. Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a through peer-review process, the SOCO 2020 International Program Committee selected 83 papers which are published in these conference proceedings and represents an acceptance rate of 35%. Due to the COVID-19 outbreak, the SOCO 2020 edition was blended, combining on-site and on-line participation. In this relevant edition a special emphasis was put on the organization of special sessions. Eleven special session were organized related to relevant topics such as: Soft Computing Applications in Precision Agriculture, Manufacturing and Management Systems, Management of Industrial and Environmental Enterprises, Logistics and Transportation Systems, Robotics and Autonomous Vehicles, Computer Vision, Laser-Based Sensing and Measurement and other topics such as Forecasting Industrial Time Series, IoT, Big Data and Cyber Physical Systems, Non-linear Dynamical Systems and Fluid Dynamics, Modeling and Control systems The selection of papers was extremely rigorous in order to maintain the high quality of SOCO conference editions and we would like to thank the members of the Program Committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference and the SOCO conference would not exist without their help.

## Hilbert Huang Transform and Its Applications

Author | : Norden E Huang,Samuel S P Shen |

Publsiher | : World Scientific |

Total Pages | : 400 |

Release | : 2014-04-22 |

ISBN 10 | : 981450825X |

ISBN 13 | : 9789814508254 |

Language | : EN, FR, DE, ES & NL |

**Hilbert Huang Transform and Its Applications Book Review:**

This book is written for scientists and engineers who use HHT (Hilbert–Huang Transform) to analyze data from nonlinear and non-stationary processes. It can be treated as a HHT user manual and a source of reference for HHT applications. The book contains the basic principle and method of HHT and various application examples, ranging from the correction of satellite orbit drifting to detection of failure of highway bridges. The thirteen chapters of the first edition are based on the presentations made at a mini-symposium at the Society for Industrial and Applied Mathematics in 2003. Some outstanding mathematical research problems regarding HHT development are discussed in the first three chapters. The three new chapters of the second edition reflect the latest HHT development, including ensemble empirical mode decomposition (EEMD) and modified EMD. The book also provides a platform for researchers to develop the HHT method further and to identify more applications. Contents:Introduction to the Hilbert–Huang Transform and Its Related Mathematical ProblemsEnsemble Empirical Mode Decomposition and Its Multi-Dimensional ExtensionsMultivariate Extensions of Empirical Mode DecompositionB-Spline Based Empirical Mode DecompositionEMD Equivalent Filter Banks, From Interpretation to ApplicationsHHT Sifting and FilteringStatistical Significance Test of Intrinsic Mode FunctionsThe Time-Dependent Intrinsic CorrelationThe Application of Hilbert–Huang Transforms to Meteorological DatasetsEmpirical Mode Decomposition and Climate VariabilityEMD Correction of Orbital Drift Artifacts in Satellite Data StreamHHT Analysis of the Nonlinear and Non-Stationary Annual Cycle of Daily Surface Air Temperature DataHilbert Spectra of Nonlinear Ocean WavesEMD and Instantaneous Phase Detection of Structural DamageHTT-Based Bridge Structural Health-Monitoring MethodApplications of HHT in Image Analysis Readership: Applied mathematicians, climate scientists, highway engineers, medical scientists, geologists, civil engineers, mechanical engineers, electrical engineers, economics and graduate students in science or engineering. Keywords:HilbertâHuang Transform;Empirical Mode Decomposition;Intrinsic Mode Function;Hilbert Spectral Analysis;Time-Frequency AnalysisKey Features:A tool book for analyzing nonlinear and non-stationary dataA source book for HHT development and applicationsThe most complete reference for HHT method and applications

## ScaLAPACK Users Guide

Author | : L. S. Blackford,J. Choi,A. Cleary,E. D'Azevedo,J. Demmel,I. Dhillon,J. Dongarra,S. Hammarling,G. Henry,A. Petitet,K. Stanley,D. Walker,R. C. Whaley |

Publsiher | : SIAM |

Total Pages | : 325 |

Release | : 1997 |

ISBN 10 | : 9780898719642 |

ISBN 13 | : 089871964X |

Language | : EN, FR, DE, ES & NL |

**ScaLAPACK Users Guide Book Review:**

ScaLAPACK is an acronym for Scalable Linear Algebra Package or Scalable LAPACK. It is a library of high-performance linear algebra routines for distributed memory message-passing MIMD computers and networks of workstations supporting parallel virtual machine (PVM) and/or message passing interface (MPI). It is a continuation of the LAPACK project, which designed and produced analogous software for workstations, vector supercomputers, and shared memory parallel computers. Both libraries contain routines for solving systems of linear equations, least squares problems, and eigenvalue problems. The goals of both projects are efficiency, scalability, reliability, portability, flexibility, and ease of use.

## Stability and Transition in Shear Flows

Author | : Peter J. Schmid,Dan S. Henningson |

Publsiher | : Springer Science & Business Media |

Total Pages | : 558 |

Release | : 2012-12-06 |

ISBN 10 | : 1461301858 |

ISBN 13 | : 9781461301851 |

Language | : EN, FR, DE, ES & NL |

**Stability and Transition in Shear Flows Book Review:**

A detailed look at some of the more modern issues of hydrodynamic stability, including transient growth, eigenvalue spectra, secondary instability. It presents analytical results and numerical simulations, linear and selected nonlinear stability methods. By including classical results as well as recent developments in the field of hydrodynamic stability and transition, the book can be used as a textbook for an introductory, graduate-level course in stability theory or for a special-topics fluids course. It is equally of value as a reference for researchers in the field of hydrodynamic stability theory or with an interest in recent developments in fluid dynamics. Stability theory has seen a rapid development over the past decade, this book includes such new developments as direct numerical simulations of transition to turbulence and linear analysis based on the initial-value problem.

## Shallow Flows

Author | : Gerhard H. Jirka,Wim S.J. Uijttewaal |

Publsiher | : Taylor & Francis |

Total Pages | : 684 |

Release | : 2004-09-15 |

ISBN 10 | : 1135288429 |

ISBN 13 | : 9781135288426 |

Language | : EN, FR, DE, ES & NL |

**Shallow Flows Book Review:**

This text presents the key findings of the International Symposium held in Delft in 2003, which explored the process of shallow flows. Shallow flows are found in lowland rivers, lakes, estuaries, bays, coastal areas and in density-stratified atmospheres, and may be observed in puddles, as in oceans. They impact on the life and work of a wide variety of readers, who are here provided with a clear overview of the subject. Shallow flows are intrinsically turbulent. On one hand, there are strongly three-dimensional, small-scale turbulent motions and on the other hand, large-scale quasi-two-dimensional turbulence. This book explains and examines these differences and their effects with sections on transport processes in shallow flows; shallow jets, wakes and mixing layers; stratified and rotating flows in ocean and atmosphere; river and channel flows; and numerical modelling and turbulence closure techniques. The reader is provided with the pick of current studies and a fresh approach to the subject, with expert examination of a fascinating and crucial phenomenon of our world's water systems.

## The Koopman Operator in Systems and Control

Author | : Alexandre Mauroy,Igor Mezić,Yoshihiko Susuki |

Publsiher | : Springer Nature |

Total Pages | : 556 |

Release | : 2020-02-22 |

ISBN 10 | : 3030357139 |

ISBN 13 | : 9783030357139 |

Language | : EN, FR, DE, ES & NL |

**The Koopman Operator in Systems and Control Book Review:**

This book provides a broad overview of state-of-the-art research at the intersection of the Koopman operator theory and control theory. It also reviews novel theoretical results obtained and efficient numerical methods developed within the framework of Koopman operator theory. The contributions discuss the latest findings and techniques in several areas of control theory, including model predictive control, optimal control, observer design, systems identification and structural analysis of controlled systems, addressing both theoretical and numerical aspects and presenting open research directions, as well as detailed numerical schemes and data-driven methods. Each contribution addresses a specific problem. After a brief introduction of the Koopman operator framework, including basic notions and definitions, the book explores numerical methods, such as the dynamic mode decomposition (DMD) algorithm and Arnoldi-based methods, which are used to represent the operator in a finite-dimensional basis and to compute its spectral properties from data. The main body of the book is divided into three parts: theoretical results and numerical techniques for observer design, synthesis analysis, stability analysis, parameter estimation, and identification; data-driven techniques based on DMD, which extract the spectral properties of the Koopman operator from data for the structural analysis of controlled systems; and Koopman operator techniques with specific applications in systems and control, which range from heat transfer analysis to robot control. A useful reference resource on the Koopman operator theory for control theorists and practitioners, the book is also of interest to graduate students, researchers, and engineers looking for an introduction to a novel and comprehensive approach to systems and control, from pure theory to data-driven methods.

## Background Modeling and Foreground Detection for Video Surveillance

Author | : Thierry Bouwmans,Fatih Porikli,Benjamin Höferlin,Antoine Vacavant |

Publsiher | : CRC Press |

Total Pages | : 631 |

Release | : 2014-07-25 |

ISBN 10 | : 1482205378 |

ISBN 13 | : 9781482205374 |

Language | : EN, FR, DE, ES & NL |

**Background Modeling and Foreground Detection for Video Surveillance Book Review:**

Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging environments. This requires effective methods for dealing with dynamic backgrounds and illumination changes as well as algorithms that must meet real-time and low memory requirements. Incorporating both established and new ideas, Background Modeling and Foreground Detection for Video Surveillance provides a complete overview of the concepts, algorithms, and applications related to background modeling and foreground detection. Leaders in the field address a wide range of challenges, including camera jitter and background subtraction. The book presents the top methods and algorithms for detecting moving objects in video surveillance. It covers statistical models, clustering models, neural networks, and fuzzy models. It also addresses sensors, hardware, and implementation issues and discusses the resources and datasets required for evaluating and comparing background subtraction algorithms. The datasets and codes used in the text, along with links to software demonstrations, are available on the book’s website. A one-stop resource on up-to-date models, algorithms, implementations, and benchmarking techniques, this book helps researchers and industry developers understand how to apply background models and foreground detection methods to video surveillance and related areas, such as optical motion capture, multimedia applications, teleconferencing, video editing, and human–computer interfaces. It can also be used in graduate courses on computer vision, image processing, real-time architecture, machine learning, or data mining.

## Numerical Linear Algebra

Author | : Lloyd N. Trefethen,David Bau, III |

Publsiher | : SIAM |

Total Pages | : 361 |

Release | : 1997-01-01 |

ISBN 10 | : 9780898719574 |

ISBN 13 | : 0898719577 |

Language | : EN, FR, DE, ES & NL |

**Numerical Linear Algebra Book Review:**

A concise, insightful, and elegant introduction to the field of numerical linear algebra. Designed for use as a stand-alone textbook in a one-semester, graduate-level course in the topic, it has already been class-tested by MIT and Cornell graduate students from all fields of mathematics, engineering, and the physical sciences. The authors' clear, inviting style and evident love of the field, along with their eloquent presentation of the most fundamental ideas in numerical linear algebra, make it popular with teachers and students alike.

## Degrees of Freedom

Author | : Alan D M Rayner |

Publsiher | : World Scientific |

Total Pages | : 328 |

Release | : 1997-01-03 |

ISBN 10 | : 1783263245 |

ISBN 13 | : 9781783263240 |

Language | : EN, FR, DE, ES & NL |

**Degrees of Freedom Book Review:**

Drawing especially on insights emerging from studies of the cellular networks formed by fungi, this book describes the fundamental indeterminacy that enables life forms to thrive in and create inconstant circumstances. It explains how indeterminacy arises from counteraction between associative and dissociative processes at the reactive interfaces between living systems and their surroundings. It stresses the relevance of these processes to understanding the dynamic contexts within which living systems of all kinds — including human societies-explore for, use up, conserve and recycle sources of energy. By focusing on dynamic boundaries, the book counterbalances the discretist view that living systems are assembled entirely from building-block-like units — individuals and genes — that can be freely sifted, as opposed to channeled, by natural selection. It also shows how the versatility that enables life forms to proliferate in rich environments, whilst minimizing losses in restrictive environments, depends on capacities for error and co-operation within a fluid, non-hierarchical power structure. Understanding this point yields a more compassionate, less competitive and less self-centred outlook on life's successes and failures. Contents:Defining Dynamic BoundariesScaling Hierarchies: Individuals and Collectives from Molecules to CommunitiesDeterminacy and IndeterminacyDifferentiation and IntegrationVersatility and DegeneracyBalance and CircumstanceMe and You, Us and Them: Merger, Takeover and RejectionCompassion in Place of Strife: The Future of Human Relationships? Readership: Biology students, teachers and general readers. Keywords:Living Systems;Complex Systems;Indeterminacy;Dynamic Systems;Evolutionary Processes;Boundaries;Contextual Dynamics;Non-Linearity;Biodiversity;Ecology;Environmental Relationships;Holistic Science;Pattern-FormationReviews:“Slowly, a new genre of writing is emerging that recognises both partnership and competition as crucial to understanding evolution … Degrees of Freedom is a fascinating new addition to this debate … Rayner has elegantly shown that, in much of the microbial world at least, DNA takes a back seat to environmental context. He wants to apply these same principles to the behaviour of more familiar communities such as ant colonies and plant roots and even, more contentiously, to ourselves. Already his ideas, which have been dubbed –eco-Darwinism—, have intrigued evolutionists. Now this accessible book brings his challenging perspective into the public areas.”New Scientist “Dr Rayner explains with virtuosity the extraordinary properties of the fungi of the woodland floor and relates this to a range of other phenomena, such as how humans learn.”SGM Quarterly “For such a concise book … well-referenced and indexed, it is extraordinarily wide in scope.”The Ecologist “Highly recommended for biologists of all disciplines.”Choice

## Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers

Author | : Stephen Boyd,Neal Parikh,Eric Chu |

Publsiher | : Now Publishers Inc |

Total Pages | : 140 |

Release | : 2011 |

ISBN 10 | : 160198460X |

ISBN 13 | : 9781601984609 |

Language | : EN, FR, DE, ES & NL |

**Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers Book Review:**

Surveys the theory and history of the alternating direction method of multipliers, and discusses its applications to a wide variety of statistical and machine learning problems of recent interest, including the lasso, sparse logistic regression, basis pursuit, covariance selection, support vector machines, and many others.

## Stochastic Tools in Turbulence

Author | : John L. Lumey |

Publsiher | : Elsevier |

Total Pages | : 208 |

Release | : 2012-12-02 |

ISBN 10 | : 0323162258 |

ISBN 13 | : 9780323162258 |

Language | : EN, FR, DE, ES & NL |

**Stochastic Tools in Turbulence Book Review:**

Stochastic Tools in Turbulence discusses the available mathematical tools to describe stochastic vector fields to solve problems related to these fields. The book deals with the needs of turbulence in relation to stochastic vector fields, particularly, on three-dimensional aspects, linear problems, and stochastic model building. The text describes probability distributions and densities, including Lebesgue integration, conditional probabilities, conditional expectations, statistical independence, lack of correlation. The book also explains the significance of the moments, the properties of the characteristic function, and the Gaussian distribution from a more physical point of view. In considering fields, one must account for single-valued functions of one or more parameters, or collections of single-valued functions of one or more parameters such as time or space coordinates. The text also discusses multidimensional vector fields of finite energy, the characteristic eddies for a homogenous vector field, as well as, the distribution of solutions of an algebraic equation. Engineers, algebra students, and professors of statistics and advanced mathematics will find the book highly useful.

## Advanced Classical Electrodynamics

Author | : Ulrich D Jentschura |

Publsiher | : World Scientific Publishing Company |

Total Pages | : 372 |

Release | : 2017-05-09 |

ISBN 10 | : 9813222875 |

ISBN 13 | : 9789813222878 |

Language | : EN, FR, DE, ES & NL |

**Advanced Classical Electrodynamics Book Review:**

This textbook introduces advanced classical electrodynamics using modern mathematical techniques, with an emphasis on physical concepts. Connections to field theory and general relativity are highlighted while the book still serves as the basis for a one- or two-semester course on electrodynamics within the graduate curriculum. Request Inspection Copy

## Computer Vision

Author | : Richard Szeliski |

Publsiher | : Springer Science & Business Media |

Total Pages | : 812 |

Release | : 2010-09-30 |

ISBN 10 | : 9781848829350 |

ISBN 13 | : 1848829353 |

Language | : EN, FR, DE, ES & NL |

**Computer Vision Book Review:**

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of “recipes,” this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques. Topics and features: structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website, http://szeliski.org/Book/. Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.