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2008

ReduceM: Interactive and Memory Efficient Ray Tracing of Large Models

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ReduceM: Interactive and Memory Efficient Ray Tracing of Large Models
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.
Christian Lauterbach, Sung-Eui Yoon, Ming Tang, Di
Added 09 Dec 2010
Updated 09 Dec 2010
Type Journal
Year 2008
Where CGF
Authors Christian Lauterbach, Sung-Eui Yoon, Ming Tang, Dinesh Manocha
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