Damascene is an reexamination of the gPb image contour detector. By reevaluating components of the gPb algorithm in a parallel context, and creating an eigensolver specially suited to Normalized Cuts image segmentation, we have made high-quality image contour detection more efficient. Damascene is a parallel implementation of these ideas using CUDA. On an Nvidia GTX280, we can perform image contour detection 130x faster than the original serial CPU gPb detector, while still providing the same accuracy on the contour benchmark of the Berkeley Segmentation Dataset. For more details, please reference our ICCV 2009 paper.

Try Damascene on your own images here: http://telperion.eecs.berkeley.edu
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