Object categorization with SVM: kernels for local features
J Eichhorn, Olivier Chapelle · 2004
Abstract. In this paper, we propose to combine an efficient image representation based on local descriptors with a Support Vector Machine classifier in order to perform object categorization. For this purpose, we apply kernels defined on sets of vectors. After testing different combinations of kernel / local descriptors, we have been able to identify a very performant one. 1