Computing regions of interest for geometric features in digital images

Authors:
Kristof Teelen;Peter Veelaert
Affiliations:
University College Ghent, Engineering Sciences, Ghent University/IBBT/Image Processing and Interpretation, Schoonmeersstraat 52, B9000 Ghent, Belgium;University College Ghent, Engineering Sciences, Ghent University/IBBT/Image Processing and Interpretation, Schoonmeersstraat 52, B9000 Ghent, Belgium
Venue:
Discrete Applied Mathematics
Year:
2009

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Abstract

We present an uncertainty model for geometric transformations based on polygonal uncertainty regions and transformation polytopes. The main contribution of this paper is a systematic approach for the computation of regions of interest for features by using the uncertainty model for affine and projective transformations. The focus is on the solution of transformation problems for geometric primitives, especially lines, so that regions of interest can be computed for corresponding geometric features in distinct images.