Adaptive Resolution Dynamic Visualization Method of Interactive 3D Flow Field Based on GPU

Abstract

The invention belongs to the field of scientific computing visualization, and in particular relates to a GPU-based interactive three-dimensional flow field adaptive resolution dynamic visualization method. The invention proposes a GPU-based interactive three-dimensional flow field adaptive resolution dynamic visualization method. This method uniformly places seed points in the view frustum, and moves some seed points scattered outside the data range to within the data range according to the near plane and far plane textures of the pre-rendered data volume. Generate a probability density sphere and render it into a probability density volume to ensure uniform distribution of particles in motion. Finally, GPU-accelerated rendering technology is used to generate streamlines, and then Tessellation subdivision surface technology is used to expand the streamlines into pipelines to realize adaptive resolution dynamic visualization of 3D flow fields.

Description

technical field [0001] The invention belongs to the field of scientific computing visualization, and in particular relates to a GPU-based interactive three-dimensional flow field adaptive resolution dynamic visualization method. Background technique [0002] Flow field visualization is an important branch in the field of scientific visualization. With the improvement of computer computing capabilities, especially the improvement of GPU parallel processing capabilities and the abundance of observation data and model data, dynamic visualization of three-dimensional ocean flow fields has become possible. The 3D visualization of the flow field is of great significance to the study of the generation, development and extinction of ocean currents. Therefore, the visualization of 3D flow field has received more and more attention. However, the inherent characteristics of 3D flow field, such as large amount of data, many variables, and changes over time, pose a great challenge to our...

AI Technical Summary

Problems solved by technology

The icon method generally uses vector arrows. The direction of the arrow indicates the flow field velocity direction, and the velocity is mapped to the color space. The icon method has serious occlusion problems, and it is difficult to achieve real-time interaction; the texture method uses texture images to express the flow field Features, which are characterized by being able to express more details of the flow field such as: vortex, source point, saddle point, but the texture method still cannot solve the occlusion problem, and cannot express the internal structure of the three-dimensional flow field, so this method is more suitable for expressing two-dimensional flow The streamline placement method based on feature extraction focuses on expressing a certain feature of the flow field, such as flow field topological information such as vortex rather than expressing all flow field information, and this method requires a lot of preprocessing before visualization, so Not suitable for real-time interactive 3D flow field visualization

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