18th International Conference on Pattern Recognition (ICPR'06) Volume 1 Empirical Study of Multi-scale Filter Banks for Object Categorization Hong Kong August 20-August 24 ISBN: 0-7695-2521-0
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.491
The aim of this work is the evaluation of different multiscale filter banks, mainly based on oriented Gaussian derivatives and Gabor functions, to be used in the generation of robust features for visual object categorization. In order to combine the responses obtained from several spatial scales, we use the biologically inspired HMAX model [13]. We have tested the different sets of features on the challenging Caltech-101 database, and we have performed the categorizarion procedure with AdaBoost, Support Vector Machines and JointBoosting classifiers, achieving remarkable results.
Citation:
Manuel J. Marin-Jimenez, Nicolas Perez de la Blanca, "Empirical Study of Multi-scale Filter Banks for Object Categorization," icpr, vol. 1, pp.578-581, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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