gtsam/matlab/examples/VisualISAMGenerateData.m

59 lines
1.9 KiB
Matlab

% VisualISAMGenerateData: create data for viusalSLAM::iSAM examples
% Authors: Duy Nguyen Ta and Frank Dellaert
% options
global TRIANGLE NCAMERAS SHOW_IMAGES
% global outputs
global points cameras K odometry
global poseNoise odometryNoise pointNoise measurementNoise % data ?
%% Generate simulated data
points = {};
if TRIANGLE % Create a triangle target, just 3 points on a plane
nPoints = 3;
r = 10;
for j=1:nPoints
theta = (j-1)*2*pi/nPoints;
points{j} = gtsamPoint3([r*cos(theta), r*sin(theta), 0]');
end
else % 3D landmarks as vertices of a cube
nPoints = 8;
points = {gtsamPoint3([10 10 10]'),...
gtsamPoint3([-10 10 10]'),...
gtsamPoint3([-10 -10 10]'),...
gtsamPoint3([10 -10 10]'),...
gtsamPoint3([10 10 -10]'),...
gtsamPoint3([-10 10 -10]'),...
gtsamPoint3([-10 -10 -10]'),...
gtsamPoint3([10 -10 -10]')};
end
%% Create camera cameras on a circle around the triangle
height = 10; r = 40;
K = gtsamCal3_S2(500,500,0,640/2,480/2);
cameras = {};
gui = gcf;
for i=1:NCAMERAS
theta = (i-1)*2*pi/NCAMERAS;
t = gtsamPoint3([r*cos(theta), r*sin(theta), height]');
cameras{i} = gtsamSimpleCamera_lookat(t, gtsamPoint3, gtsamPoint3([0,0,1]'), K);
if SHOW_IMAGES % show images
figure(2+i);clf;hold on
set(2+i,'NumberTitle','off','Name',sprintf('Camera %d',i));
for j=1:nPoints
zij = cameras{i}.project(points{j});
plot(zij.x,zij.y,'*');
axis([1 640 1 480]);
end
end
end
figure(gui);
odometry = cameras{1}.pose.between(cameras{2}.pose);
%% Set Noise parameters
poseNoise = gtsamSharedNoiseModel_Sigmas([0.001 0.001 0.001 0.1 0.1 0.1]');
odometryNoise = gtsamSharedNoiseModel_Sigmas([0.001 0.001 0.001 0.1 0.1 0.1]');
pointNoise = gtsamSharedNoiseModel_Sigma(3, 0.1);
measurementNoise = gtsamSharedNoiseModel_Sigma(2, 1.0);