Accelerating SIFT on parallel architectures
Computer Science and Computer Engineering, University of Arkansas, 504 JBHT, University of Arkansas, Fayetteville AR, 72701, USA
IEEE International Conference on Cluster Computing and Workshops, 2009. CLUSTER ’09
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.
January 15, 2011 by hgpu
