As a massively parallel processor, the GPU is well-suited for performing 'per-pixel' operations in image processing
and computer vision. New developments in hardware, software, and algorithm mappings now allow entire vision
algorithms to be performed exclusively on GPU. In this paper we present the GPU mapping of a natural image
feature processing pipeline used in an image stitching application. We examine how to utilize hardware features
on the GPU for efficient processing to demonstrate how GPU programming now goes beyond per-pixel mappings,
and is providing speedups in image feature processing, and matching.
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