On Using Histograms of Local Invariant Features for Image Retrieval
نویسندگان
چکیده
In this paper we employ different methods for constructing histograms from invariant features that are computed locally around a set of salient points. These points represent, together with their neighborhood, the most important visual information in an image. The features used for constructing the histograms are evaluations of Haar integrals with nonlinear kernel functions. The resulting histograms are able to preserve the local structure of the image in addition to the fact that they are invariant to Euclidean motion. We study and compare the performance of the different histogram construction methods for a database that consists of 15000 images.
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