Line integral convolution

Line integral convolution (LIC) is a visualization technique that involves smearing white noise according to particle flow, as demonstrated in Figure 8.8(d) and described by Cabral and Leedom in 1993. It is commonly used in vector data visualization and can be extended in software rendering technologies, as noted by Zhang et al. in 2017.From: Visualization Analysis and Design [2014], An interactive 4D spatio-temporal visualization system for hydrometeorological data in natural disasters [2020]

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Published in Tamara Munzner, Visualization Analysis and Design, 2014

Tamara Munzner

The texture flow idioms also rely on particle tracing, but with dense coverage across the entire field rather than from a carefully selected set of seed points. They are most commonly used for 2D fields or fields on 2D surfaces. Figure 8.8(d) shows an example of the Line Integral Convolution (LIC) idiom, where white noise is smeared according to particle flow [Cabral and Leedom 93].

An interactive 4D spatio-temporal visualization system for hydrometeorological data in natural disasters

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Published in International Journal of Digital Earth, 2020

Xuequan Zhang, Mingda Zhang, Liangcun Jiang, Peng Yue

The system integrates ten commonly used field models and allows them to be combined freely to build a comprehensive scenario. However, more rendering technologies can be extended in the software, such as Line Integral Convolution (LIC) (Zhang et al. 2017), which is widely used in vector data visualization. Meanwhile, the field models can be further improved in both visual performance and rendering efficiency. For example, in the volume rendering model, the boundary of the slicing plane is a circle. How to eliminate the boundary interference to the visualization effect is a problem that needs to be further studied. So far, the rendering models are accelerated by the multi-thread and GPU programming technology. The latest parallel computing technologies, such as MPI, Spark, and CUDA (Reyes-Ortiz, Oneto, and Anguita 2015), can be adopted to further improve the rendering efficiency.

Line integral convolution

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An interactive 4D spatio-temporal visualization system for hydrometeorological data in natural disasters