Shared Sampling for Real‐Time Alpha Matting

By Eduardo Simoes Lopes Gastal, M. M. O. Neto. Computer graphics forum (Print), 2010

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KNN Matting (2013, neutral): “, use of randomized patchmatch in [9], ray shooting in [6], PSF estimation in [19]), resulting in more parameter setting or requiring more careful markups/ trimaps.”
Real-Time High-Resolution Background Matting (2020, background): “Traditional (non-learning based) matting algorithms [6, 16, 17, 29, 9, 2, 7] require manual annotation (a trimap) and solve for the alpha matte in the ‘unknown’ region of the trimap.”
A global sampling method for alpha matting (2011, methodology): “(d ) Shared Matting [7].”
Deep Image Matting (2017, methodology): “In sampling-based methods [3, 9, 32, 13, 28, 16], the known foreground and background regions are sampled to ﬁnd candidate colors for a given pixel’s foreground and background, then a metric is used to determine the best foreground/background combination.”