Non-Rigid Dense Correspondence with Applications for Image Enhancement

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

It demonstrates the usefulness of a 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. It was presented here in the technical paper session at SIGGRAPH '11 in Vancouver. You can find more information (including a PDF of the paper and additional results) at
cs.huji.ac.il/labs/cglab/projects/nrdc/

© 2018, Matt Wallin. All rights reserved.