Real Time Shape From Silhouette using Cell B.E.

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.

Web Site: http://ebiquity.umbc.edu/

Tags: multi-core computing, cell processor


	UMBC eBiquity Events / Talks Real Time Shape From Silhouette using Cell B.E. OWL metadata Update record		Real Time Shape From Silhouette using Cell B.E. Tweet 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. Web Site: http://ebiquity.umbc.edu/ Tags: multi-core computing, cell processor ,