Detecting and sketching the common

Shai Bagon, Ori Brostovski, Meirav Galun, Michal Irani
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
more » ... semble. This provides a simple and compact visual representation of the common object, while eliminating the background clutter of the query images. It can be obtained from very few query images. Such clean sketches may be useful for detection, retrieval, recognition, co-segmentation, and for artistic graphical purposes.
doi:10.1109/cvpr.2010.5540233 dblp:conf/cvpr/BagonBGI10 fatcat:ksfs47f32rfexdhjudccvt3uvu