DocumentCode :
1925887
Title :
Accelerating SIFT on parallel architectures
Author :
Warn, Seth ; Emeneker, Wesley ; Cothren, Jackson ; Apon, Amy
Author_Institution :
Comput. Sci. & Comput. Eng., Univ. of Arkansas, Fayetteville, AR, USA
fYear :
2009
fDate :
Aug. 31 2009-Sept. 4 2009
Firstpage :
1
Lastpage :
4
Abstract :
SIFT is a widely-used algorithm that extracts features from images; using it to extract information from hundreds of terabytes of aerial and satellite photographs requires parallelization in order to be feasible. We explore accelerating an existing serial SIFT implementation with OpenMP parallelization and GPU execution.
Keywords :
feature extraction; parallel architectures; GPU execution; OpenMP parallelization; SIFT; feature extraction; parallel architectures; scale invariant feature transform; Acceleration; Computer science; Computer vision; Concurrent computing; Data mining; Feature extraction; Histograms; Laplace equations; Parallel architectures; Satellites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing and Workshops, 2009. CLUSTER '09. IEEE International Conference on
Conference_Location :
New Orleans, LA
ISSN :
1552-5244
Print_ISBN :
978-1-4244-5011-4
Electronic_ISBN :
1552-5244
Type :
conf
DOI :
10.1109/CLUSTR.2009.5289155
Filename :
5289155
Link To Document :
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