Date post: | 20-Jan-2016 |
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Week 1
Week 1-2Alejandro Torroella
Converting an image from RGB to HSV and displaying the separate channels
Hue:Value:Saturation:Roberts and Sobel Edge Detectors on both RGB and HSV channelsLaplacian of Gaussian and Separability
Sigma = 1.2, Kernel Size = 9x9Canny Edge Detector
Sigma = 1.2, Kernel Size = 9x9, Threshold = 0.05Improving Legibility
Harris Corner Detector
SIFT Dense Sampling Scheme
SVM Training and TestingUsed two different kernels: Chi Squared and Histogram IntersectionsHistogram Intersection gave better results than Chi Squared.Results were still poor, but thats probably because of low density SIFT descriptors and the way they were implemented.Increasing the density of the SIFT descriptors significantly improved the accuracy of classification.
Accuracy_768 = [ histo, chi2 ] = [ 11.1233, 7.9295 ]Accuracy_3072 = [ histo, chi2 ] = [ 24.5595, 8.8106 ]
Optical Flow
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Thank youFin.