Scientific Visualization : Uncertainty, Multifield, Biomedical, and Scalable Visualization / edited by Charles D. Hansen, Min Chen, Christopher R. Johnson, Arie E. Kaufman, Hans Hagen.

Format:

Book

Contributor:

Hansen, Charles D., Editor.

Chen, Min., Editor.

Johnson, Christopher R., Editor.

Kaufman, Arie E., Editor.

Hagen, Hans., Editor.

Series:

Mathematics and Visualization, 1612-3786

Language:

English

Subjects (All):

Mathematics.

Visualization.

Optical data processing.

Computer graphics.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Computer Graphics.

Local Subjects:

Visualization.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Computer Graphics.

Physical Description:

1 online resource (397 p.)

Edition:

1st ed. 2014.

Place of Publication:

London : Springer London : Imprint: Springer, 2014.

Language Note:

English

Summary:

Based on the seminar that took place in Dagstuhl, Germany in June 2011, this contributed volume studies the four important topics within the scientific visualization field: uncertainty visualization, multifield visualization, biomedical visualization and scalable visualization. • Uncertainty visualization deals with uncertain data from simulations or sampled data, uncertainty due to the mathematical processes operating on the data, and uncertainty in the visual representation, • Multifield visualization addresses the need to depict multiple data at individual locations and the combination of multiple datasets, • Biomedical is a vast field with select subtopics addressed from scanning methodologies to structural applications to biological applications, • Scalability in scientific visualization is critical as data grows and computational devices range from hand-held mobile devices to exascale computational platforms. Scientific Visualization will be useful to practitioners of scientific visualization, students interested in both overview and advanced topics, and those interested in knowing more about the visualization process.

Contents:

Overview and State-of-the-Art of Uncertainty Visualization

Uncertainty Visualization and Color Vision Deficiency

Analysis of Uncertain Scalar Data with Hixels

On the (Un)Suitability of Strict Feature Definitions for Uncertain Data

The Haunted Swamps of Heuristics: Uncertainty in Problem Solving

Visualizing Uncertainty in Predictive Models

Incorporating Uncertainty in Intrusion Detection to Enhance Decision Making

Fuzzy Fibers: Uncertainty in dMRI Tractography

Mathematical Foundations of Uncertain Field Visualization

Definition of a Multifield

Categorization

Fusion of Visual Channels

Glyph-Based Multifield Visualization

Derived Fields

Interactive Visual Exploration and Analysis

Visual Exploration of Multivariate Volume Data Based on Clustering

Feature-Based Visualization of Multifields

Feature Analysis in Multifields

Future Challenges and Unsolved Problems in Multi-Field Visualization

Overview of Visualization in Biology and Medicine

Visualization in Connectomics

Visualization in Biology and Medicine

From Individual to Population: Challenges in Medical Visualization

The Ultrasound Visualization Pipeline

Visual Exploration of Simulated and Measured Blood Flow

Large-Scale Integration-Based Vector Field Visualization

Large Scale Data Analysis

Cross-Scale, Multi-Scale, and Multi-Source Data Visualization and Analysis Issues and Opportunities

Scalable Devices

Scalable Representation

Distributed Post-Processing and Rendering for Large-Scale Scientific Simulations.

Notes:

Description based upon print version of record.

Includes bibliographical references at the end of each chapters and index.

ISBN:

1-4471-6497-0

OCLC:

891380782