2004 · 52 citations · 8 references
Open access
ComputingComputer ScienceComputer VisionFeature EngineeringMachine LearningClassificationFeature DescriptionImage ClassificationKernel MethodsRepresentation LearningSupport Vector MachinesImage Feature RepresentationImage RepresentationLocal Feature DescriptorsObject CategorizationObject ClassificationSupport Vector Machine ClassificationSvmsVisual Categorization
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
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A Combined Corner and Edge Detector
Chris Harris, Matthew J. Stephens · 1988 · 12.5K citations
A performance evaluation of local descriptors
Krystian Mikolajczyk, C. Schmid · 2003 · 956 citations · Full text