Image features and the 1-D, 2nd order Gaussian derivative jet

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. © Springer-Verlag Berlin Heidelberg 2005.