Technical Report CIS9806

TR#:CIS9806
Class:CIS
Title: Some Tradeoffs between Complexity and Reliability in Affine Matching
Authors: Michael Hoffman, Michael Lindenbaum
PDFCIS9806.pdf
Abstract: Model-Based object recognition is a fundamentnal task of Computer Vision. In this paper we consider the performance of the popular {\em Alignment} and {\em Geometric hashing} (GH) algorithms for model based recognition and, in a probabilistic setting, examine the influence of some design decisions and derive several tradeoffs between two measures of performance: reliability and time complexity. We also propose some variations on these algorithms, which alleviates some inherent noise sensitivity, and demonstrate the enhanced perform ance of the modified algorithms in experiments.
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