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Report Reykjavík University > Tölvunarfræðideild > Reykjavik University Technical Report Computer Science. RUTR-CS >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1946/7496

Title: 
  • Full GPU acceleration of local descriptors using CUDA
Published: 
  • July 2009
Abstract: 
  • Video analysis using local decriptors demands an high-throughput descirptor creation process. The most practical methods to this goal is to use GPUs that come with most resent computers. In this report, we adapt the computation of the Eff2 descriptors, a variant of SIFT, to the GPU. We compare our GPU-Rff2 descriptors to SiftGPU and show that while both GPU-based variants yield similar results, the GPU-Eff2 descriptors require sifnificantly less processing time.

Citation: 
  • RUTR-CS09003
ISSN: 
  • 1670-5777
Accepted: 
  • Feb 1, 2011
URI: 
  • http://hdl.handle.net/1946/7496


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