GPU-Based Interactive Visualization Techniques by Daniel Weiskopf
High performance is demonstrated as a process of devising algorithms for the fast graphics processing units (GPUs) of modern graphics hardware. Coverage includes parallelization on cluster computers with several GPUs, adaptive rendering methods, and non-photorealistic rendering techniques for visualization.-
In Situ Visualization for Computational Science
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Hierarchical and Geometrical Methods in Scientific Visualization
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Multimedia Tools for Communicating Mathematics
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Computational Line Geometry
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Geometric Methods in Bio-Medical Image Processing
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Computational Diffusion MRI and Brain Connectivity
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Visualization in Medicine and Life Sciences
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New Developments in the Visualization and Processing of Tensor Fields
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Triangulations and Applications
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Topological Methods in Data Analysis and Visualization III
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Visualization and Processing of Tensor Fields
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Shape Analysis and Structuring
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Advances in Multiresolution for Geometric Modelling
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Image Processing Based on Partial Differential Equations
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Geometric Modeling for Scientific Visualization
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Mathematics and Art
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Computational Diffusion MRI
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Visualization in Medicine and Life Sciences II
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Imaging, Vision and Learning Based on Optimization and PDEs
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Topological Methods in Data Analysis and Visualization
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Topology-Based Methods in Visualization II
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Visualization in Medicine and Life Sciences III
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Topological Methods in Data Analysis and Visualization VI
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Topological and Statistical Methods for Complex Data
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Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data
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Modeling, Analysis, and Visualization of Anisotropy
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Perspectives in Shape Analysis
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Topological Methods in Data Analysis and Visualization IV
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Bezier and B-Spline Techniques
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Topological Data Analysis for Scientific Visualization
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Eye Tracking and Visualization
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Scientific Visualization: The Visual Extraction of Knowledge from Data
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VizSEC 2007
Weiskopf, Daniel: - Daniel Weiskopf is an Associate Professor of Philosophy and an associate faculty member in the Neuroscience Institute at Georgia State University. He has published numerous articles and chapters on concepts and mental representation, the structure of higher cognition, embodied and extended cognition, mechanistic and functional explanation, and modelling practices in the mind/brain sciences.
| SKU | Unavailable |
| ISBN 13 | 9783540332626 |
| ISBN 10 | 3540332626 |
| Title | GPU-Based Interactive Visualization Techniques |
| Author | Daniel Weiskopf |
| Series | Mathematics And Visualization |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer |
| Year published | 2006-10-26 |
| Number of pages | 312 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |