Detecting and Sketching the Common

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 ensemble. 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.

• Type: Conference
• Year: 2010
• Where: CVPR
• Authors: Shai Bagon, Or Brostovski, Meirav Galun, Michal Irani
• Keywords: Common Object, Compact Visual Representation, Computer Vision, CVPR 2010, Query Images