Incorporating Geometry Information with Weak Classifiers for Improved Generic Visual Categorization - Naver Labs Europe
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In this paper we introduce geometric information to improve the performance of a generic visual categorizer based on the bag of keypatches approach. More precisely we define a set of simple geometric relationships between interest points. Each relationship corresponds to a weak classifier and they are combined within a boosting framework. Experimental results are shown on a new challenging 10 class dataset.

NAVER LABS Europe
NAVER LABS Europe
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