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.