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Novel Parallel Approach for SIFT Algorithm Implementation
2013
Journal of information and communication convergence engineering
The scale invariant feature transform (SIFT) is an effective algorithm used in object recognition, panorama stitching, and image matching. However, due to its complexity, real-time processing is difficult to achieve with current software approaches. The increasing availability of parallel computers makes parallelizing these tasks an attractive approach. This paper proposes a novel parallel approach for SIFT algorithm implementation using a block filtering technique in a Gaussian convolution
doi:10.6109/jicce.2013.11.4.298
fatcat:o2dvbkyxxjdr3pcnmfwx3dbade