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Feature category systems for 2nd order local image structure induced by natural image statistics and otherwise

Griffin, LD; Lillholm, M; (2007) Feature category systems for 2nd order local image structure induced by natural image statistics and otherwise. In:

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Abstract

We report progress on an approach (Geometric Texton Theory - GTT) that like Marr's 'primal sketch' aims to describe image structure in a way that emphasises its qualitative aspects. In both approaches, image description is by labelling points using a vocabulary of feature types, though compared to Marr we aim for a much larger feature vocabulary. We base GTT on the Gaussian derivative (DtG) model of V1 measurement. Marr's primal sketch was based on DtG filters of derivative order up to 2 nd , for GTT we plan to extend to the physiologically plausible limit of 4 th . This is how we will achieve a larger feature vocabulary (we estimate 30-150) than Marr's 'edge', 'line' and 'blob'. The central requirement of GTT then is for a procedure for determining the feature vocabulary that will scale up to 4 th order. We have previously published feature category systems for 1-D 1 st order, 1-D 2 nd order, 2-D 1 st order and 2-D pure 2 nd order. In this paper we will present results of GTT as applied to 2-D mixed 1 st + 2 nd order features. We will review various approaches to defining the feature vocabulary, including ones based on (i) purely geometrical considerations, and (ii) natural image statistics. © 2007 SPIE-IS & T.

Type: Proceedings paper
Title: Feature category systems for 2nd order local image structure induced by natural image statistics and otherwise
ISBN: 0819466050
DOI: 10.1117/12.714560
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
URI: http://discovery.ucl.ac.uk/id/eprint/74236
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