Sources of error in the graphical analysis of CFD results
Journal of Scientific Computing
Spot noise texture synthesis for data visualization
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Processing of computed vector fields for visualization
Journal of Computational Physics
Imaging vector fields using line integral convolution
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Fast and resolution independent line integral convolution
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Fast line integral convolution for arbitrary surfaces in 3D
Visualization and mathematics
IEEE Computer Graphics and Applications
A tool for visualizing the topology of three-dimensional vector fields
VIS '91 Proceedings of the 2nd conference on Visualization '91
Visualizing flow over curvilinear grid surfaces using line integral convolution
VIS '94 Proceedings of the conference on Visualization '94
| Hi-index | 0.00 |
Particle tracking methods have been developed to visualize a vector-field. The methods are efficient to show a large-scale and a small-scale structure in the flow field clearly. However, initial positions of the particles sometimes affect a visualized pattern. In addition, when a particle lies on another one, it becomes difficult to display the particle and to recognize the pattern. In this paper, we consider an enhancement of particle tracking methods against those problems. First, we attempt to reduce the dependence of pattern on the initial position and consider how to display a particle occupies another particle position. Essence of our solution is composed of homogenizing nascent-particles and a certain manipulation in a pixel/voxel space. This solution is similar to that of line integral convolution method (LIC). Secondly, accuracy of the visualization process is discussed. Then, we make clear some pitfalls of LIC. Finally, a new technique to overcome drawbacks of conventional particle tracking methods and LIC is described. Several flow fields in two-dimensions and near surfaces are visualized for demonstration of our proposed method.