2005/013 - Incorporating geometry information with weak classifiers for improved generic visual categorization
Gabriela Csurka, Jutta Willamowski, Chris Dance, Florent Perronnin
ICIAP, Cagliari, Italy, 6-8 Sept 2005.
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.