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33
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ISVC
2010
Springer
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Applied Computing
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ISVC 2010
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Bivariate Feature Localization for SIFT Assuming a Gaussian Feature Shape
13 years 10 months ago
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www.tnt.uni-hannover.de
In this paper, the well-known SIFT detector is extended with a bivariate feature localization. This is done by using function models that assume a Gaussian feature shape for the de...
Kai Cordes, Oliver Müller, Bodo Rosenhahn, J&...
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