Touchcut: Single-touch object segmentation driven by level set methods

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 our method in terms of computational efficiency and accuracy comparing qualitatively and quantitatively with graph cut based techniques.