Enhancements for Local Feature Based Image Classification

Authors:
Tobias Kolsch;Daniel Keysers;Hermann Ney;Roberto Paredes
Affiliations:
RWTH Aachen University, Germany;RWTH Aachen University, Germany;RWTH Aachen University, Germany;Universidad Politécnica de Valencia, Spain
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Year:
2004

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Abstract

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.