Seeing the Invisible and Predicting the Unexpected

  • Authors:
  • Michal Irani

  • Affiliations:
  • Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel

  • Venue:
  • IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
  • Year:
  • 2007

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Abstract

Analysis, interpretation and manipulation of complex visual data is something which humans do quite easily. We can easily recognize different instances of objects (like faces, bodies, flowers, etc.), in spite of the huge variations in their appearances.We have no problem determining that two actions are the same, even though they are performed by different people wearing different clothes against different backgrounds.Moreover, we humans can predict and make inferences about very complex static and dynamic visual information which we have never seen. We can infer about the appearance of unfamiliar places, objects and actions, as well as detect saliency and abnormalities in such data. Such complex visual tasks require sophisticated notions of visual similarity and dissimilarity.