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Detecting and sketching the common
2010
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Given very few images containing a common object of interest under severe variations in appearance, we detect the common object and provide a compact visual representation of that object, depicted by a binary sketch. Our algorithm is composed of two stages: (i) Detect a mutually common (yet non-trivial) ensemble of 'self-similarity descriptors' shared by all the input images. (ii) Having found such a mutually common ensemble, 'invert' it to generate a compact sketch which best represents this
doi:10.1109/cvpr.2010.5540233
dblp:conf/cvpr/BagonBGI10
fatcat:ksfs47f32rfexdhjudccvt3uvu