UMBC ebiquity

Real Time Shape From Silhouette using Cell B.E.

Speaker: David Chapman

Start: Tuesday, September 30, 2008, 10:30AM

End: Tuesday, September 30, 2008, 12:00PM

Location: ITE 325b

Abstract: The Shape From Silhouette (SFS) algorithm is a well known approach to 3D shape detection from 2D camera images. It is also a performance bottleneck in markerless motion capture technology for use in move production. We have accelerated SFS using Cell B.E., a heterogeneous multicore chip with 200 GFLOPS peek performance. However peek performance requires highly vectorizable algorithms. We parallelize SFS in a novel way. Our approach demonstrates bitwise SIMD parallelism, sequential RAM access, and power of 2 data alignment. Our implementation on Cell B.E. demonstrates near real time performance at high voxel resolutions.

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Tags: multi-core computing, cell processor