Visualization of Large Scale Volumetric Datasets


Book Description

In this thesis, we address the problem of large-scale data visualization from two aspects, dimensionality and resolution. We introduce a novel data structure called Differential Time- Histogram Table (DTHT) for visualization of time-varying (4D) scalar data. The proposed data structure takes advantage of the coherence in time-varying datasets and allows efficient updates of data necessary for rendering during data exploration and visualization while guaranteeing that the scalar field visualized is within a given error tolerance of the scalar field sampled. To address the high-resolution datasets, we propose a hierarchical data structure and introduce a novel hybrid framework to improve the quality of multi-resolution visualization. For more accurate rendering at coarser levels of detail, we reduce aliasing artifacts by approximating data distribution with a Gaussian basis at each level of detail and we reduce blurring by using transparent isosurfaces to capture high-frequency features usually missed in coarse resolution renderings.







Multi-body Dynamics


Book Description

Multi-body dynamics describes the physics of motion of an assembly of constrained or restrained bodies. As such it encompasses the behaviour of nearly every living or inanimate object in the universe. Multi-body dynamics - Monitoring and Simulation Techniques III includes papers from leading academic researchers, professional code developers, and practising engineers, covering recent fundamental advances in the field, as well as applications to a host of problems in industry.They broadly cover the areas: Multi-body methodology Structural dynamics Engine dynamics Vehicle dynamics - ride and handling Machines and mechanisms Multi-body Dynamics is a unique volume, describing the latest developments in the field, supplemented by the latest enhancements in computer simulations, and experimental measurement techniques. Leading industrialists explain the importance attached to these developments in industrial problem solving.




Data Visualization


Book Description

Data visualization is currently a very active and vital area of research, teaching and development. The term unites the established field of scientific visualization and the more recent field of information visualization. The success of data visualization is due to the soundness of the basic idea behind it: the use of computer-generated images to gain insight and knowledge from data and its inherent patterns and relationships. A second premise is the utilization of the broad bandwidth of the human sensory system in steering and interpreting complex processes, and simulations involving data sets from diverse scientific disciplines and large collections of abstract data from many sources. These concepts are extremely important and have a profound and widespread impact on the methodology of computational science and engineering, as well as on management and administration. The interplay between various application areas and their specific problem solving visualization techniques is emphasized in this book. Reflecting the heterogeneous structure of Data Visualization, emphasis was placed on these topics: -Visualization Algorithms and Techniques; -Volume Visualization; -Information Visualization; -Multiresolution Techniques; -Interactive Data Exploration. Data Visualization: The State of the Art presents the state of the art in scientific and information visualization techniques by experts in this field. It can serve as an overview for the inquiring scientist, and as a basic foundation for developers. This edited volume contains chapters dedicated to surveys of specific topics, and a great deal of original work not previously published illustrated by examples from a wealth of applications. The book will also provide basic material for teaching the state of the art techniques in data visualization. Data Visualization: The State of the Art is designed to meet the needs of practitioners and researchers in scientific and information visualization. This book is also suitable as a secondary text for graduate level students in computer science and engineering.







Graphics of Large Datasets


Book Description

This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases, or large in numbers of variables, or large in both. All ideas are illustrated with displays from analyses of real datasets and the importance of interpreting displays effectively is emphasized. Graphics should be drawn to convey information and the book includes many insightful examples. New approaches to graphics are needed to visualize the information in large datasets and most of the innovations described in this book are developments of standard graphics. The book is accessible to readers with some experience of drawing statistical graphics.




Real-time Visualization of Massive Imagery and Volumetric Datasets


Book Description

The visualization of extremely large multi-dimensional datasets requires highly scalable geometric algorithms. We consider an algorithm to be scalable if its complexity remains constant independent of the size of the complete dataset. The complexity of the algorithm should only depend upon the visible volume and display resolution. This thesis develops several algorithms for the display of 2-D and 3-D datasets that achieve scalable performance. We present approaches for visibility culling and level of detail calculation for large datasets in orthogonal and oblique projections. These techniques are extended to support visualizing geophysical data on a sphere with terrain elevation data, as well as volumetric data. The algorithms presented herein are implemented on top of an existing out-of-core image tile caching and paging system known as Kolam, developed at the University of Missouri, Columbia. Discussions of Kolam's architecture are provided, which include image representations, tile request methods, cache structures, and thread interactions. A detailed user interface description is included as well, covering GUI components, navigation modes, API functions, and a third-party extension framework.




Teleradiology


Book Description

Developments in teleradiology are progressing at great speed. As a consequence, there is a need for a broad overview of the field. This first-ever book on teleradiology is presented in such a way that it should make it accessible to anyone, independent of their knowledge of technology. The text is designed to be used by all professionals, including radiologists, surgeons, nurses and allied health professionals, and computer scientists. In a very short time, driven by technical developments, the field of teleradiology has become too extensive to be covered by only a small number of experts. Therefore, Teleradiology has been written with chapter contributions from a host of renowned international authorities in teleradiology (see the Contents and the Contributors). This ensures that the subject matter focusing on recent advances in teleradiology is truly up to date. Our guiding hope during this task was that as editors of multiple chapters we could still write with a single voice and keep the content coherent and simple. We hope that the clarity of this book makes up for any limitations in its comp- hensiveness.




Hierarchical and Geometrical Methods in Scientific Visualization


Book Description

The nature of the physical Universe has been increasingly better understood in recent years, and cosmological concepts have undergone a rapid evolution (see, e.g., [11], [2],or [5]). Although there are alternate theories, it is generally believed that the large-scale relationships and homogeneities that we see can only be explainedby having the universe expand suddenlyin a very early “in?ationary” period. Subsequent evolution of the Universe is described by the Hubble expansion, the observation that the galaxies are ?ying away from each other. We can attribute di?erent rates of this expansion to domination of di?erent cosmological processes, beginning with radiation, evolving to matter domination, and, relatively recently, to vacuum domination (the Cosmological Constant term)[4]. We assume throughout that we will be relying as much as possible on observational data, with simulations used only for limited purposes, e.g., the appearance of the Milky Wayfrom nearbyintergalactic viewpoints. The visualization of large-scale astronomical data sets using?xed, non-interactive animations has a long history. Several books and ?lms exist, ranging from “Cosmic View: The Universe in Forty Jumps” [3] by Kees Boeke to “Powers of 10” [6,13] by Charles and Ray Eames, and the recent Imax ?lm “Cosmic Voyage” [15]. We have added our own contribution [9], “Cosmic Clock,” which is an animation based entirely on the concepts and implementation described in this paper.




Efficient Feature-Driven Visualization of Large-Scale Scientific Data


Book Description

Very large, complex scientific data acquired in many research areas creates critical challenges for scientists to understand, analyze, and organize their data. The objective of this project is to expand the feature extraction and analysis capabilities to develop powerful and accurate visualization tools that can assist domain scientists with their requirements in multiple phases of scientific discovery. We have recently developed several feature-driven visualization methods for extracting different data characteristics of volumetric datasets. Our results verify the hypothesis in the proposal and will be used to develop additional prototype systems.