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Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R&D engineers working in this vibrant subject. Key features include: <

Computer vision. --- Information visualization.

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A comprehensive yet quick guide to the best approaches to designing data visualizations, with real examples and illustrative diagrams. Whatever the desired outcome ensure success by following this expert design process. This book is for anyone who has responsibility for, or is interested in trying to find innovative and effective ways to visually analyze and communicate data. There is no skill, no knowledge and no role-based pre-requisites or expectations of anyone reading this book.

Visualización de la información --- Programas de computadora --- Libros electrónicos --- Information visualization. --- Software visualization. --- Information visualization --- Data visualization --- Visualization of information --- Information science --- Visual analytics

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This cookbook is organized in a linear, progressive way allowing it to be read from start to finish, as well as to be used as a useful resource for specific tasks. The HTML5 examples and recipes will have you making dynamic, interactive, and animated charts and graphs in no time. You don't need to have a background in HTML5 or Canvas but you do need to have a basic understanding of how HTML works and know how to code in any language (preferably in JavaScript). In this book we will not explain how to learn to code but how to create projects and how to plan and execute them in the process.

HTML (Document markup language) --- Information visualization. --- Data visualization --- Visualization of information --- Information science --- Visual analytics --- HyperText Markup Language (Document markup language) --- Document markup languages --- Canvas (Computer file)

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Art, or Science? Which of these is the right way to think of the field of visualization? This is not an easy question to answer, even for those who have many years experience in making graphical depictions of data with a view to help people understand it and take action. In this book, Graham Wills bridges the gap between the art and the science of visually representing statistical data. He does not simply give rules and advice, but bases these on general principles and provides a clear path between them.   This book is concerned with the graphical representation of time data and is written to cover a range of different users. A visualization expert designing tools for displaying time will find it valuable, but so also should a financier assembling a report in a spreadsheet, or a medical researcher trying to display gene sequences using a commercial statistical package.

Information visualization. --- Time perception. --- Visual analytics. --- Information visualization --- Visual analytics --- Time perception --- Astronomy & Astrophysics --- Electrical & Computer Engineering --- Mathematics --- Physical Sciences & Mathematics --- Engineering & Applied Sciences --- Practical & Spherical Astronomy --- Mathematical Statistics --- Electrical Engineering --- Time --- Mathematical models. --- Hours (Time) --- Statistics. --- Statistical Theory and Methods. --- Geodetic astronomy --- Nautical astronomy --- Horology --- Mathematical statistics. --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods --- Statistics . --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics

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The data deluge problem is increasing. Every day the results of scientific experiments, monitoring instruments, medical analysis, and social networks add petabytes to the world’s information. Many future experiments will generate data that will be substantially more than has been collected throughout history. How can we effectively translate this into meaningful information, particularly if there is a time critical element to the data? Although Moore’s law results in an ever-decreasing cost of processing, storage, and transmission – so that the data can be stored and transmitted – it does not necessarily follow that the data can be processed effectively. Visual analytics seeks to facilitate analytical reasoning supported by interactive visual interfaces in order to integrate the human into the analysis process. Expanding the Frontiers of Visual Analytics and Visualization contains international contributions by leading researchers from within the field. Dedicated to the memory of Jim Thomas, the book begins with the dynamics of evolving a vision based on some of the principles that Jim and colleagues established and in which Jim’s leadership was evident. This is followed by chapters in the areas of visual analytics, visualization, interaction, modelling, architecture, and virtual reality, before concluding with the key area of technology transfer to industry. Visual analytics and visualization bring together the areas of computer science, information visualization, cognitive and perceptual sciences, interactive design, graphic design, and social sciences.

Information visualization. --- Visual analytics. --- Visual analytics --- Information visualization --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Computer Science --- Electrical Engineering --- Data visualization --- Visualization of information --- Analytics, Visual --- Computer science. --- User interfaces (Computer systems). --- Computer graphics. --- Image processing. --- Computer Science. --- User Interfaces and Human Computer Interaction. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Image Processing and Computer Vision. --- Information science --- Reasoning --- Computer vision. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Informatics --- Science --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Optical equipment