The nature of statistical learning theory
The nature of statistical learning theory
Estimating the Generalization Performance of an SVM Efficiently
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Robust Real-Time Face Detection
International Journal of Computer Vision
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
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In this paper we show that the detection of dune fields on images of the surface of Mars, however varied they are, can be achieved through the application of an automated methodology. The procedure is based on the extraction of local information from images after they are organized according to a regular grid which defines cells, in turn aggregated into larger regions (blocks) that constitute the detection units. A set of gradient features is extracted and tested with Boosting and Support Vector Machine classifiers. A detection rate of 98.7% was obtained for a 5-fold cross validation on a set of images captured by the Mars Orbital Camera on board the Mars Global Surveyor probe.