Visualization Of Fields And Applications In Engineering
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Visualization of Fields and Applications in Engineering
Driven by advances in computer technology, engineering analysis has developed rapidly and extensively in recent times; Visualization of Fields and Applications in Engineering presents the basic techniques for tensor field visualization and mapping of engineering data. Focusing on the fundamental aspects of post processing databases and applications outputs, the author explores existing theories and their integration in tensor field visualization and analysis. The subject covers fundamental theories through to integrated, multi-disciplinary technologies with practical applications in engineering, computer /general sciences. Visualization of Fields and Applications in Engineering is suitable for academic use and to serve as a source of reference. It will appeal to those who work in the engineering and science professions or in pursuit of academic training/ research. Offers a unique engineering approach to basic techniques for tensor field visualization and mapping Collates together material currently disseminated throughout the literature into one accessible point of reference Presents examples with applications beyond and across many disciplines.
Exploring 3D Data Visualizations: A Comprehensive Guide
Author: Pasquale De Marco
language: en
Publisher: Pasquale De Marco
Release Date: 2025-04-30
In a world teeming with data, the ability to visualize and interpret complex information is a superpower. 3D data visualization emerges as a transformative force, allowing us to explore, analyze, and communicate data in ways never before possible. This comprehensive guide unlocks the secrets of 3D data visualization, empowering you with the skills and knowledge to create visually stunning and informative representations of your data. Embark on a journey through its chapters, where you'll delve into the art of choosing the right visualization for your data, master the intricacies of 3D graphics programming with the VTK library, and discover advanced techniques to elevate your visualizations to new heights. From the fundamental principles of color mapping and contour lines to the intricacies of volume rendering and particle tracing, this book equips you with the tools to transform raw data into compelling visual narratives. Explore the power of 3D surfaces and meshes, learn how to interact with and customize visualizations for maximum impact, and delve into best practices and design principles to create effective and engaging visual representations. With a wealth of real-world examples and case studies spanning diverse fields such as medical imaging, engineering, scientific research, and financial data analysis, this book showcases the transformative power of 3D data visualization in various industries. Whether you're a data scientist, a researcher, a student, or simply someone fascinated by the art of visualizing information, this book is your gateway to unlocking the full potential of 3D data visualization. Gain deeper insights into the world around you and communicate your findings with clarity and impact. Let this book be your compass as you navigate the captivating world of 3D data visualization, transforming data into knowledge and empowering yourself to make informed decisions, solve complex problems, and communicate with clarity and conviction. If you like this book, write a review on google books!
Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data
Arising from the fourth Dagstuhl conference entitled Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data (2011), this book offers a broad and vivid view of current work in this emerging field. Topics covered range from applications of the analysis of tensor fields to research on their mathematical and analytical properties. Part I, Tensor Data Visualization, surveys techniques for visualization of tensors and tensor fields in engineering, discusses the current state of the art and challenges, and examines tensor invariants and glyph design, including an overview of common glyphs. The second Part, Representation and Processing of Higher-order Descriptors, describes a matrix representation of local phase, outlines mathematical morphological operations techniques, extended for use in vector images, and generalizes erosion to the space of diffusion weighted MRI. Part III, Higher Order Tensors and Riemannian-Finsler Geometry, offers powerful mathematical language to model and analyze large and complex diffusion data such as High Angular Resolution Diffusion Imaging (HARDI) and Diffusion Kurtosis Imaging (DKI). A Part entitled Tensor Signal Processing presents new methods for processing tensor-valued data, including a novel perspective on performing voxel-wise morphometry of diffusion tensor data using kernel-based approach, explores the free-water diffusion model, and reviews proposed approaches for computing fabric tensors, emphasizing trabecular bone research. The last Part, Applications of Tensor Processing, discusses metric and curvature tensors, two of the most studied tensors in geometry processing. Also covered is a technique for diagnostic prediction of first-episode schizophrenia patients based on brain diffusion MRI data. The last chapter presents an interactive system integrating the visual analysis of diffusion MRI tractography with data from electroencephalography.