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A GPU-Enabled Parallel Genetic Algorithm for Path Planning of Robotic Operators Read chapter Read first chapter

2015 | OriginalPaper | Chapter

3. GPU-Based Real-Time Volume Interaction for Scientific Visualization Education

Authors : Yanlin Luo, Zhongke Wu, Zuying Luo, Yanhong Luo

Published in: GPU Computing and Applications

Publisher: Springer Singapore

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Abstract

In this chapter, we introduce the interaction methods of our self-developed VisEdu as a visual teaching system to teach scientific visualization courses at Beijing Normal University. VisEdu provides real-time visualization and interaction of midsize CT datasets at interactive frame rates via CUDA-based volume rendering. We describe various rendering methods through plane, superquadric, and virtual lenses tools which offer different views of the same dataset. It aids the students to better understand the feature of virtual contents and the core algorithms of the scientific visualization course such as volume rendering, volume interaction, etc.

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previous chapter Real-Time Deformation of Constrained Meshes Using GPU
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Metadata
Title
GPU-Based Real-Time Volume Interaction for Scientific Visualization Education
Authors
Yanlin Luo
Zhongke Wu
Zuying Luo
Yanhong Luo
Copyright Year
2015
Publisher
Springer Singapore
Book
GPU Computing and Applications

Print ISBN: 978-981-287-133-6

Electronic ISBN: 978-981-287-134-3

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-981-287-134-3_3