Uncertainty Modeling and Model Selection for Geometric Inference
IEEE Transactions on Pattern Analysis and Machine Intelligence
Consensus sets for affine transformation uncertainty polytopes
Computers and Graphics
Estimation of geometric entities and operators from uncertain data
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Image registration using uncertainty transformations
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Computing regions of interest for geometric features in digital images
Discrete Applied Mathematics
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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.