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SUMMARY:A complete set of rotationally and translationally invariant featu
 res based on a generalization of the bispectrum to non-commutative groups 
 - Imre Risi Kondor\, Columbia University
DTSTART:20070314T153000Z
DTEND:20070314T163000Z
UID:TALK6866@talks.cam.ac.uk
CONTACT:Oliver Williams
DESCRIPTION:Deriving translation and rotation invariant representations is
  a fundamental problem in computer vision with a substantial literature. I
  propose a new set of features which \n\na\, are simultaneously invariant 
 to translation and rotation\; \nb\, are sufficient to reconstruct the orig
 inal image with no loss (up to a badwidth limit)\; \nc\, do not involve ma
 tching with a template image or any similar discontinuous operation. \n\nT
 he new features are based on Kakarala`s generalization of the bispectrum t
 o compact Lie groups and a projection onto the sphere. I validated the met
 hod on a handwritten digit recognition dataset with randomly translated an
 d rotated digits. \nPaper: http://arxiv.org/abs/cs.CV/0701127 \n
LOCATION:Small public lecture room\, Microsoft Research Ltd\, 7 J J Thomso
 n Avenue (Off Madingley Road)\, Cambridge
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