Automatical Definition of Measures from the Combination of Shape Descriptors

Authors:
J.-P. Salmon;L. Wendling;S. Tabbone
Affiliations:
LORIA, Cedex France;LORIA, Cedex France;LORIA, Cedex, France
Venue:
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Year:
2005

Citing 3
Cited 1

An Experimental Comparison of Autoregressive and Fourier-Based Descriptors in 2D Shape Classification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Pattern Recognition: A Review

IEEE Transactions on Pattern Analysis and Machine Intelligence
Perceptual Metrics for Image Database Navigation

Perceptual Metrics for Image Database Navigation

Musings on symbol recognition

GREC'05 Proceedings of the 6th international conference on Graphics Recognition: ten Years Review and Future Perspectives

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a novel approach to combine shape descriptors. Each approach is applied on several clusters of objects. For each cluster and for any descriptor a map is associated directly from the confusion matrix. Such a method allows to determine automatically the better weight associated to the descriptor for the object under consideration. At last, we show that the additive combination of such measures allows to improve the classification.