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http://dx.doi.org/10.9717/kmms.2015.18.2.158

Fast Ambient Occlusion Volume Rendering using Local Statistics  

Nam, Jinhyun (Dept. of Information Systems Engineering, Hansung University)
Kye, Heewon (Dept. of Information Systems Engineering, Hansung University)
Publication Information
Journal of Korea Multimedia Society / v.18, no.2, 2015 , pp. 158-167 More about this Journal
Abstract
This study presents a new method to improve the speed of high quality volume rendering. We improve the speed of ambient occlusion which is one of the global illumination techniques used in traditional volume visualization. Calculating ambient occlusion takes much time because it determines an illumination value of a sample by integrating opacities of nearby samples. This study proposes an improved method for this by using local statistics such as averages and standard deviations. We calculate local statistics for each volume block, a set of nearby samples, in pre-processing time. In the rendering process, we efficiently determine the illumination value by assuming the density distribution as a normal distribution. As the results, we can generate high quality images that combine ambient occlusion illumination with local illumination in real time.
Keywords
Volume Rendering; Medical Image Visualization; Global Illumination; Ambient Occlusion; Local Statistics;
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Times Cited By KSCI : 1  (Citation Analysis)
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