ReduceM: Interactive and Memory Efficient Ray Tracing of Large Models
Christian Lauterbach, Sung-eui Yoon, Ming Tang, Dinesh Manocha
In Computer Graphics Forum, 27(4), 2008.
Abstract: We present a novel representation and algorithm, ReduceM, for memory efficient ray tracing of large scenes. ReduceM exploits the connectivity between triangles in a mesh and decomposes the model into triangle strips. We also describe a new stripification algorithm, Strip-RT, that can generate long strips with high spatial coherence. Our approach uses a two-level traversal algorithm for ray-primitive intersection. In practice, ReduceM can significantly reduce the storage overhead and ray trace massive models with hundreds of millions of triangles at interactive rates on desktop PCs with 4-8GB of main memory.
Article URL: http://dx.doi.org/10.1111/j.1467-8659.2008.01270.x
BibTeX format:
@article{Lauterbach:2008:RIA,
  author = {Christian Lauterbach and Sung-eui Yoon and Ming Tang and Dinesh Manocha},
  title = {ReduceM: Interactive and Memory Efficient Ray Tracing of Large Models},
  journal = {Computer Graphics Forum},
  volume = {27},
  number = {4},
  pages = {1313--1321},
  year = {2008},
}
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