This book brings all the major and frontier topics in the field of document analysis together into a single volume, creating a unique reference source that will be invaluable to a large audience of researchers, lecturers and students working in this field. With chapters written by some of the most distinguished researchers active in this field, this book addresses recent advances in digital document processing research and development.
This book brings all the major and frontier topics in the field of document analysis together into a single volume, creating a unique reference sou...
Throughout much of machine vision's early years the infrared imagery has suffered from return on investment despite its advantages over visual counterparts. Recently, the ?scal momentum has switched in favor of both manufacturers and practitioners of infrared technology as a result of today's rising security and safety challenges and advances in thermographic sensors and their continuous drop in costs. This yielded a great impetus in achieving ever better performance in remote surveillance, object recognition, guidance, noncontact medical measurements, and more. The purpose of this book is to...
Throughout much of machine vision's early years the infrared imagery has suffered from return on investment despite its advantages over visual counter...
This revised and updated second edition now with two new chapters - is the only book to give a comprehensive overview of computer algorithms for image reconstruction. It covers the fundamentals of computerized tomography, including all the computational and mathematical procedures underlying data collection, image reconstruction and image display. Among the new topics covered are: spiral CT, fully 3D positron emission tomography, the linogram mode of backprojection, and state of the art 3D imaging results. It also includes two new chapters on comparative statistical evaluation of the 2D...
This revised and updated second edition now with two new chapters - is the only book to give a comprehensive overview of computer algorithms for im...
With the development of silicon technologies, consumer electronics (CE) devices (such as personal computers, HDTV, mobile phones, digital cameras and game consoles) have become ubiquitous in daily life. These devices can provide multimedia sources for entertainment, communication, and so on. To interact with this equipment, consumers currently rely on devices such as remote controls, keyboards or control panels, which are often inconvenient, ambiguous and non-interactive. The question of how to design user interfaces for CE products that enable natural, intuitive and fun interaction is one...
With the development of silicon technologies, consumer electronics (CE) devices (such as personal computers, HDTV, mobile phones, digital cameras a...
Overview andGoals Pattern recognition has evolved as a mature field of data analysis and its practice involves decision making using a wide variety of machine learning tools. Over the last three decades, substantial advances have been made in the areas of classification, prediction, optimisation and planning algorithms. Inparticular, the advances made in the areas of non-linear classification, statistical pattern recognition, multi-objective optimisation, string matching and uncertainty management are notable. These advances have been triggered by the availability of cheap computing power...
Overview andGoals Pattern recognition has evolved as a mature field of data analysis and its practice involves decision making using a wide variety of...
Rapid development of remote sensing technology in recent years has greatly increased availability of high-resolution satellite image data. However, detailed analysis of such large data sets also requires innovative new techniques in image and signal processing.
This important text/reference presents a comprehensive review of image processing methods, for the analysis of land use in residential areas. Combining a theoretical framework with highly practical applications, making use of both well-known methods and cutting-edge techniques in computer vision, the book describes a system...
Rapid development of remote sensing technology in recent years has greatly increased availability of high-resolution satellite image data. However,...
Object recognition has been an area of extensive research for a long time. During the last decades, a large number of algorithms have been proposed. This is due to the fact that, at a closer look, "object recognition" is an umbrella term for different algorithms designed for a wide variety of applications, where each application has its specific requirements and constraints. This book demonstrates the diversity of applications and highlights some important algorithm classes by presenting representative example algorithms for each class.
This book is written in a tutorial...
Object recognition has been an area of extensive research for a long time. During the last decades, a large number of algorithms have been proposed...
This book describes active illumination techniques in computer vision. We can classify computer vision techniques into two classes: passive and active techniques. Passive techniques observe the scene statically and analyse it as is. Active techniques give the scene some actions and try to facilitate the analysis. In particular, active illumination techniques project specific light, for which the characteristics are known beforehand, to a target scene to enable stable and accurate analysis of the scene.
Traditional passive techniques have a fundamental limitation. The external world...
This book describes active illumination techniques in computer vision. We can classify computer vision techniques into two classes: passive and act...
This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective.
The book covers the fundamentals for each of the main classes of PGMs, including representation, inference and learning principles, and reviews real-world applications for each type of model. These applications are drawn from a broad range of disciplines, highlighting the many uses of Bayesian classifiers, hidden Markov models, Bayesian networks, dynamic and temporal Bayesian networks, Markov random fields, influence diagrams, and Markov decision...
This accessible text/reference provides a general introduction to probabilistic graphical models (PGMs) from an engineering perspective.
This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the topic, which address readers wishing to gain a brief overview of the state-of-the-art. Subsequent chapters, which delve deeper into various research challenges, are oriented...
This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation ...