User-guided white balance for mixed lighting conditions
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Video matting using multi-frame nonlocal matting laplacian
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
A sparse control model for image and video editing
ACM Transactions on Graphics (TOG)
Using texture to complement color in image matting
Image and Vision Computing
Special Section on CAD/Graphics 2013: Confidence-driven image co-matting
Computers and Graphics
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This work attempts to considerably reduce the amount of user effort in the natural image matting problem. The key observation is that the nonlocal principle, introduced to denoise images, can be successfully applied to the alpha matte to obtain sparsity in matte representation, and therefore dramatically reduce the number of pixels a user needs to manually label. We show how to avoid making the user provide redundant and unnecessary input, develop a method for clustering the image pixels for the user to label, and a method to perform high-quality matte extraction. We show that this algorithm is therefore faster, easier, and higher quality than state of the art methods.