A Biologically-Inspired Automatic Matting Method Based on Visual Attention

Image matting is an important task in image and video editing In this paper we propose a novel automatic matting approach, which can provide a good set of constraints without human intervention We use the attention shift trace in a temporal sequence as the useful constraints for matting algorithm instead of user-specified “scribbles” Then we propose a modified visual selective attention mechanism which considered two Gestalt rules (proximity & similarity) for shifting the processing focus Experimental results on real-world data show that the constraints are useful Distinct from previous approaches, the algorithm presents the advantage of being biologically plausible.

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