add stereo set up

matlab/+gtsam/points2DTrackStereo.m

@@ -0,0 +1,90 @@
+function pts2dTracksStereo = points2DTrackStereo(cameras, imageSize, cylinders)
+% Assess how accurately we can reconstruct points from a particular monocular camera setup. 
+% After creation of the factor graph for each track, linearize it around ground truth. 
+% There is no optimization
+% @author: Zhaoyang Lv
+
+import gtsam.*
+
+%% create graph
+graph = NonlinearFactorGraph;
+
+%% create the noise factors
+pointNoiseSigma = 0.1;
+poseNoiseSigmas = [0.001 0.001 0.001 0.1 0.1 0.1]';
+measurementNoiseSigma = 1.0;
+posePriorNoise  = noiseModel.Diagonal.Sigmas(poseNoiseSigmas);
+pointPriorNoise = noiseModel.Isotropic.Sigma(3, pointNoiseSigma);
+measurementNoise = noiseModel.Isotropic.Sigma(2, measurementNoiseSigma);
+
+cameraPosesNum = length(cameras);
+
+%% add measurements and initial camera & points values
+pointsNum = 0;
+cylinderNum = length(cylinders);
+for i = 1:cylinderNum
+    pointsNum = pointsNum + length(cylinders{i}.Points);
+end
+
+pts3d = {};
+initialEstimate = Values;
+initialized = false;
+for i = 1:cameraPosesNum
+    % add a constraint on the starting pose    
+    camera = cameras{i};
+    
+    pts3d.pts{i} = cylinderSampleProjection(camera, imageSize, cylinders);
+    pts3d.camera{i} = camera;
+   
+    if ~initialized
+        graph.add(PriorFactorPose3(symbol('x', 1), camera.pose, posePriorNoise));
+        k = 0;
+        if ~isempty(pts3d.pts{i}.data{1+k})
+            graph.add(PriorFactorPoint3(symbol('p', 1), ...
+                pts3d.pts{i}.data{1+k}, pointPriorNoise));
+        else
+            k = k+1;
+        end
+        initialized = true;
+    end
+    
+    for j = 1:length(pts3d.pts{i}.Z)
+        if isempty(pts3d.pts{i}.Z{j})
+            continue;
+        end
+        graph.add(GenericProjectionFactorCal3_S2(pts3d.pts{i}.Z{j}, ...
+            measurementNoise, symbol('x', i), symbol('p', j), camera.calibration) );    
+    end
+
+end
+
+%% initialize cameras and points close to ground truth 
+for i = 1:cameraPosesNum
+    pose_i = camera.pose.retract(0.1*randn(6,1));
+    initialEstimate.insert(symbol('x', i), pose_i);    
+end
+ptsIdx = 0;
+for i = 1:length(cylinders)
+    for j = 1:length(cylinders{i}.Points)
+        ptsIdx = ptsIdx + 1;
+        point_j = cylinders{i}.Points{j}.retract(0.1*randn(3,1));
+        initialEstimate.insert(symbol('p', ptsIdx), point_j);
+    end
+end
+
+%% Print the graph
+graph.print(sprintf('\nFactor graph:\n'));
+
+marginals = Marginals(graph, initialEstimate);
+
+%% get all the 2d points track information
+% currently throws the Indeterminant linear system exception
+ptIdx = 0;
+for i = 1:pointsNum
+   if isempty(pts3d.pts{i})
+       continue;
+   end
+   pts2dTracksMono.cov{ptIdx} = marginals.marginalCovariance(symbol('p',i));
+end
+
+end