Conference Paper

Interactive Volume Illustration Using Intensity Filtering.

DOI: 10.2312/COMPAESTH/COMPAESTH10/051-058 Conference: Computational Aesthetics 2010: Eurographics Workshop on Computational Aesthetics, London, United Kingdom, 2010
Source: DBLP


We propose a simple and interactive technique for volume illustration by using the difference between the original intensity values and a low-pass filtered copy. This difference, known as unsharped mask, provides us with a spatial importance map that captures salient and separability information about regions in the volume. We integrate this map in the visualization pipeline and use it to modulate the color and the opacity assigned by the transfer function to produce different illustrative effects. We also apply stipple rendering modulating the density of the dots with the spatial importance map. The core of our approach is the computation of a 3D Gaussian filter, which is equivalent to three consecutive 1D filters. This separability feature allows us to obtain interactive rates with a CUDA implementation. We show results of our approach for different data sets.

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Available from: Marc Ruiz
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    ABSTRACT: Halos are generally used to enhance depth perception and display spatial relationships in illustrative visualization. In this paper, we present a simple and effective method to create volumetric halo illustration. At the preprocessing stage, we generate, on graphics hardware, a view-independent halo intensity volume, which contains all of the potential halos around the boundaries of features, based on the opacity volume. During halo rendering, the halo intensity volume is used to extract halos only around the contours of structures for the current viewpoint. The performance of our approach is significantly faster than previous halo illustration methods, which perform both halo generation and rendering during direct volume rendering. We further propose depth-dependent halo effects, including depth color fading and depth width fading. These halo effects adaptively modulate the visual properties of halos to provide more perceptual cues for depth interpretation. Experimental results demonstrate the efficiency of our proposed approach and the effectiveness of depth-dependent halos.
    No preview · Article · Apr 2013 · The Visual Computer