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Abstract: In this paper we will show how constraint solving methods can be applied for the recognition of buildings in aerial images. Object models are transformed to constraint representations which are matched against extracted image features. To cope with disturbances caused by occlusions and noise, we distinguish between the unobservability of a) relations between object parts and b) object parts themselves. Whereas other approaches for solving over-constrained problems suggest to reduce the... (Update)
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BibTeX entry: (Update)
T. H. Kolbe. Constraints for Object Recognition in Aerial Images --- Handling of Unobserved Features. In M. Maher and J.-F. Puget, editors, Principles and Practice of Constraint Programming -- Proceedings of CP'98, Lecture Notes in Computer Science No. 1520. Springer-Verlag, Berlin, 1998. http://citeseer.ist.psu.edu/kolbe98constraints.html More
@article{ kolbe98constraints,
author = "Thomas H. Kolbe",
title = "Constraints for Object Recognition in Aerial Images --- Handling of Unobserved Features",
journal = "Lecture Notes in Computer Science",
volume = "1520",
pages = "295--??",
year = "1998",
url = "citeseer.ist.psu.edu/kolbe98constraints.html" }
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