Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study

Abstract

Recently, methods based on local image features have shown promise for texture and object recognition tasks. This paper presents a large-scale evaluation of an approach that represents images as distributions (signatures or histograms) of features extracted from a sparse set of keypoint locations and learns a Support Vector Machine classifier with kernels… (More)
DOI: 10.1007/s11263-006-9794-4

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