0000000000700386

AUTHOR

Zhisheng Gao

showing 1 related works from this author

A mutual GrabCut method to solve co-segmentation

2013

Publised version of an article from the journal:Eurasip Journal on Image and Video Processing. Also available on SpringerLink:http://dx.doi.org/10.1186/1687-5281-2013-20. Open Access Co-segmentation aims at segmenting common objects from a group of images. Markov random field (MRF) has been widely used to solve co-segmentation, which introduces a global constraint to make the foreground similar to each other. However, it is difficult to minimize the new model. In this paper, we propose a new Markov random field-based co-segmentation model to solve co-segmentation problem without minimization problem. In our model, foreground similarity constraint is added into the unary term of MRF model ra…

Similarity (geometry)Markov random fieldComputer sciencebusiness.industryVDP::Mathematics and natural science: 400::Information and communication science: 420::Algorithms and computability theory: 422ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONVDP::Technology: 500::Information and communication technology: 550Pattern recognitionFunction (mathematics)Term (time)Constraint (information theory)GrabCutComputer Science::Computer Vision and Pattern RecognitionCutSignal ProcessingSegmentationArtificial intelligenceElectrical and Electronic EngineeringbusinessInformation SystemsEURASIP Journal on Image and Video Processing
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