Image features and the 1-D, 2nd

Authors:
Lewis D Griffin;Martin Lillholm
Affiliations:
Computer Science, University College London, UK;IT University of Copenhagen, Denmark
Venue:
Scale-Space'05 Proceedings of the 5th international conference on Scale Space and PDE Methods in Computer Vision
Year:
2005

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Abstract

We review a previously presented proposal – Geometric Texton Theory (GTT) – that feature categories naturally arise through consideration of the maximum likelihood explanations for image measurements by gaussian derivative filters. We present results relevant to this proposal for the case of 1-D measurement by filters of 0th, 1st and 2nd order. The results are consistent with GTT.