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Touchcut: Single-touch object segmentation driven by level set methods
2012
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
In this paper, we propose an object segmentation algorithm driven by minimal user interactions. Compared to previous user-guided systems, our system can cut out the desired object in a given image with only a single finger touch minimizing user effort. The proposed model harnesses both edge and region based local information in an adaptive manner as well as geometric cues implied by the user-input to achieve fast and robust segmentation in a level set framework. We demonstrate the advantages of
doi:10.1109/icassp.2012.6288025
dblp:conf/icassp/WangHC12
fatcat:furv4cgdgnhffdpvzjxwy6mshm