Computing regions of interest for geometric features in digital images

Kristof Teelen, Peter Veelaert
2009 Discrete Applied Mathematics  
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.
doi:10.1016/j.dam.2009.02.002 fatcat:evdgd3ajdradrmzbsdqkmwrtxy