DMCA
1Curvature Scale Space Application to Distorted Object Recognition and Classification
BibTeX
@MISC{_1curvaturescale,
author = {},
title = {1Curvature Scale Space Application to Distorted Object Recognition and Classification},
year = {}
}
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Abstract
Abstract—Contour classification methods which operate directly on an image are greatly affected by small magnitude transformations to the im-age. In this paper, a contour classification method is developed which takes advantage of Curvature Scale Space (CS2) and a linear Support Vector Ma-chine (SVM) classifier. The CS2 representation boasts invariance to trans-formations including: scaling, rotation, translation and noise. In addition, the linear SVM is a robust tool for classification problems involving multi-ple labels. The combination of these tools produces a classifier well suited for object recognition in photographs where distortion is present. I.
Keyphrases
distorted object recognition scale space application small magnitude transformation classification problem contour classification method cs2 representation multi-ple label object recognition robust tool abstract contour classification method linear svm curvature scale space linear support vector ma-chine
