Octree-R: An Adaptive Octree for Efficient Ray Tracing

  • Authors:
  • Kyu-Young Whang;Ju-Won Song;Ji-Woong Chang;Ji-Yun Kim;Wan-Sup Cho;Chong-Mok Park;Il-Yeol Song

  • Affiliations:
  • -;-;-;-;-;-;-

  • Venue:
  • IEEE Transactions on Visualization and Computer Graphics
  • Year:
  • 1995

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Abstract

Ray tracing requires many ray-obect intersection tests. A way of reducing the number of ray-object intersection tests is to subdivide the space occupied by objects into many non-overlapping subregions, called voxels, and to construct an octree for the subdivided space. In this paper, 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.