Alpha estimation in natural images

By Mark A. Ruzon, Carlo Tomasi. Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2000

438 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/64ce3c02fde4157458d84b977dc74a3bd7eda50d

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In Computer Graphics and Computer-Aided Design

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Citations in the corpus

Optimized Color Sampling for Robust Matting (2007, background): “Ruzon and Tomasi [10] analyze the statistical distributions of foreground and background samples for alpha estimation.”
A Bayesian approach to digital matting (2001, methodology): “Ruzon and Tomasi [10] take a probabilistic view that is somewhat closer to our own.”
An iterative optimization approach for unified image segmentation and matting (2005, methodology): “Ruzon and Tomasi are the first to take a probabilistic view of the problem.”
Segmentation by transduction (2008, background): “For the sake of clarity, let us consider a real-valued output space (such as the space of alpha-matting coefficients in a two-zone segmentation task [21]).”
GrabCut: Interactive Foreground Extraction Using Iterated Graph Cuts (2023, methodology): “Mean and covariance for (14) are defined for matting as in [Ruzon and Tomasi 2000]:”
A global sampling method for alpha matting (2011, methodology): “Earlier methods like Ruzon and Tomasi’s work [15] and Bayesian Matting [6], ﬁt a parametric model to the color distributions.”
Beyond pixels: exploring new representations and applications for motion analysis (2009, methodology): “Color information has been widely used in interactive image editing, such as [88, 92].”
Image and Video Matting: A Survey (2007, background): “Marc Alexa (TU Berlin) Ronen Basri (Weizmann Inst) Peter Belhumeur (Columbia) Andrew Blake (Microsoft Research) Chris Bregler (NYU) Joachim Buhmann (ETH Zurich) Michael Cohen (Microsoft Research) Paul Debevec (USC, ICT) Julie Dorsey (Yale) Fredo Durand (MIT) Olivier Faugeras (INRIA) Mike Gleicher…”
Interactive video cutout (2005, methodology): “Our preprocessing stage pre-segments the video into a hierarchical decomposition and computes local statistics.”
Motion magnification (2005, methodology): “Color information has been widely used in interactive image editing, such as [Rother et al. 2004; Ruzon and Tomasi 2000].”
Video matting of complex scenes (2002, methodology): “Ruzon and Tomasi [2000] introduced a statistical method that partions the unknown band into regions and builds multi-modal foreground and background distributions within these regions.”
A Closed-Form Solution to Natural Image Matting (2006, methodology): “S ome algorithms [6], [14] assume that the local foreground and background come from a relatively s imple color distribution.”
Interactive Image Segmentation Using an Adaptive GMMRF Model (2004, background): “Each pixel is considered, in general, to have been generated as an additive combination of a proportion % ( &(' '*) ) of foreground colour with a proportion )$+ , of background colour [2, 1].”
Shared Sampling for Real‐Time Alpha Matting (2010, methodology): “Earlier systems also include the work of Ruzon and Tomasi [RT00], where alpha values are estimated using simple color distributions.”