74 lines
		
	
	
		
			2.1 KiB
		
	
	
	
		
			Matlab
		
	
	
			
		
		
	
	
			74 lines
		
	
	
		
			2.1 KiB
		
	
	
	
		
			Matlab
		
	
	
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% GTSAM Copyright 2010, Georgia Tech Research Corporation,
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% Atlanta, Georgia 30332-0415
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% All Rights Reserved
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% Authors: Frank Dellaert, et al. (see THANKS for the full author list)
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%
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% See LICENSE for the license information
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%
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% @brief Plot visualizations of residuals, residual derivatives, and weights for the various mEstimators.
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% @author Varun Agrawal
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% import gtsam.*
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close all;
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x = linspace(-10, 10, 1000);
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%% Define all the mEstimator models and plot them
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c = 1.3998;
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fairNoiseModel = gtsam.noiseModel.mEstimator.Fair(c);
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plot_m_estimator(x, fairNoiseModel, 'Fair', 1, 'fair.png')
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c = 1.345;
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huberNoiseModel = gtsam.noiseModel.mEstimator.Huber(c);
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plot_m_estimator(x, huberNoiseModel, 'Huber', 2, 'huber.png')
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c = 0.1;
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cauchyNoiseModel = gtsam.noiseModel.mEstimator.Cauchy(c);
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plot_m_estimator(x, cauchyNoiseModel, 'Cauchy', 3, 'cauchy.png')
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c = 1.0;
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gemanmcclureNoiseModel = gtsam.noiseModel.mEstimator.GemanMcClure(c);
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plot_m_estimator(x, gemanmcclureNoiseModel, 'Geman-McClure', 4, 'gemanmcclure.png')
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c = 2.9846;
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welschNoiseModel = gtsam.noiseModel.mEstimator.Welsch(c);
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plot_m_estimator(x, welschNoiseModel, 'Welsch', 5, 'welsch.png')
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c = 4.6851;
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tukeyNoiseModel = gtsam.noiseModel.mEstimator.Tukey(c);
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plot_m_estimator(x, tukeyNoiseModel, 'Tukey', 6, 'tukey.png')
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%% Plot rho, psi and weights of the mEstimator.
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function plot_m_estimator(x, model, plot_title, fig_id, filename)
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    w = zeros(size(x));
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    rho = zeros(size(x));
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    for i = 1:size(x, 2)
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        w(i) = model.weight(x(i));
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        rho(i) = model.residual(x(i));
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    end
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    psi = w .* x;
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    figure(fig_id);
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    subplot(3, 1, 1);
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    plot(x, rho, 'LineWidth',2);
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    title('rho function');
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    xlim([-5, 5]);
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    subplot(3, 1, 2);
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    plot(x, psi, 'LineWidth',2);
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    title('influence function');
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    xlim([-5, 5]);
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    subplot(3, 1, 3);
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    plot(x, w, 'LineWidth',2);
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    title('weight function');
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    xlim([-5, 5]);
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    sgtitle(plot_title, 'FontSize', 26);
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    saveas(figure(fig_id), filename);
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end
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