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Proceedings Paper

Computing the uncertainty of transformations in digital images
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Paper Abstract

In this work we present the use and properties of a transformation uncertainty polytope for a frequently encountered problem in computer vision: registration in visual inspection. For each feature point in the reference image, a corresponding feature point must be distinguished in the test image among many candidates. A convex polytope is used to captivate the uncertainty of the transformation from the reference feature points to uncertainty regions in the test image in which the candidate matches are to be found. By checking the consistency of the uncertainty transformation for pairs of possible matches, we construct a consistency graph. The consistency graph gives us the necessary information to distinguish the good matches from the rest. Based on the best matches, we compute the registration transformation.

Paper Details

Date Published: 17 January 2005
PDF: 12 pages
Proc. SPIE 5675, Vision Geometry XIII, (17 January 2005); doi: 10.1117/12.587762
Show Author Affiliations
Kristof Teelen, Hogeschool Gent (Belgium)
Peter Veelaert, Hogeschool Gent (Belgium)

Published in SPIE Proceedings Vol. 5675:
Vision Geometry XIII
Longin Jan Latecki; David M. Mount; Angela Y. Wu, Editor(s)

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