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. 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. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Teelen, K., & Veelaert, P. (2008). Transformation polytopes for line correspondences in digital images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4958 LNCS, pp. 238–249). Springer Verlag. https://doi.org/10.1007/978-3-540-78275-9_21
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