This short video demonstrates a new efficient method for recovering reliable local sets of dense correspondences between two images with some shared content.

We demonstrate the usefulness of our method using three applications for automatic example-based photograph enhancement: adjusting the tonal characteristics of a source image to match a reference, transferring a known mask to a new image, and kernel estimation for image deblurring.

The project is a collaboration between Hebrew University and Adobe Systems. We will present it in the technical paper session at SIGGRAPH '11 in Vancouver this August. You can find more information (including a PDF of the paper and additional results) at
cs.huji.ac.il/labs/cglab/projects/nrdc/

Enjoy!

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