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ICPR
2004
IEEE

Enhancements for Local Feature Based Image Classification

9 years 6 months ago
Enhancements for Local Feature Based Image Classification
Using local features with nearest neighbor search and direct voting obtains excellent results for various image classification tasks. In this work we decompose the method into its basic steps which are investigated in detail. Different feature extraction techniques, distance measures, and probability models are proposed and evaluated. We show that improvements are possible for each of the investigated enhancements. This shows that the important aspect of the framework is the decomposition of the training images into sets of local features for each class.
Daniel Keysers, Hermann Ney, Roberto Paredes, Tobi
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Daniel Keysers, Hermann Ney, Roberto Paredes, Tobias Kölsch
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