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Octree-R: an adaptive octree for efficient ray tracing

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7 Author(s)
Kyu-Young Whang ; Dept. of Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea ; Ju-Won Song ; Ji-Woong Chang ; Ji-Yun Kim
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Ray tracing requires many ray-object intersection tests. A way of reducing the number of ray-object intersection tests is to subdivide the space occupied by objects into many nonoverlapping subregions, called voxels, and to construct an octree for the subdivided space. We propose the Octree-R, an octree-variant data structure for efficient ray tracing. The algorithm for constructing the Octree-R first estimates the number of ray-object intersection tests. Then, it partitions the space along the plane that minimizes the estimated number of ray-object intersection tests. We present the results of experiments for verifying the effectiveness of the Octree-R. In the experiment, the Octree-R provides a 4% to 47% performance gain over the conventional octree. The result shows the more skewed the object distribution (as is typical for real data), the more performance gain the Octree-R achieves

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Visualization and Computer Graphics, IEEE Transactions on  (Volume:1 ,  Issue: 4 )