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 paral-lelization in order to be feasible. We explore accelerating an existing serial SIFT implementation with OpenMP parallelization and GPU execution.
['Seth Warn', 'Wesley Emeneker', 'Jackson Cothren', 'Amy W. Apon']
Accelerating SIFT on parallel architectures