Outlier depth points detected within the filter that showed extreme depth changes, so the filter eliminates extreme depths to create a sharp object surface.
Fig. 2.
The calibration framework and the transformations between the coordinate systems have been specified.
Fig. 3.
After calibration, Vicon and the pose estimates show close alignment.
Fig. 4.
Rigid object was rotated by 15 degrees, model and target point clouds are given.
Fig. 5.
Pose is calculated using the CPD algorithm and the point clouds were aligned based on estimates leading to errors.
Fig. 6.
Pose is calculated using Flow-CPD and the point clouds were aligned based on the estimates of Flow-CPD. It can be seen that the model and target point clouds interact with each other, showing improved accuracy.