This folder contains .csv files with point cloud data taken from data provided by the EECS 498 course staff and the Sydney Urban Objects Dataset. Click on the embedded links to view a .png of the given point cloud.
The source clouds are listed below. The algorithm rotates this cloud to fit to the targets, which are listed in the next section.
830 points, moderately dense to moderately sparse
863 points, moderately dense
2113 points, very dense
766 points, moderately dense
210 points, moderately sparse
95 points, moderately sparse
990 points, moderately dense
The target point clouds are listed below with their corresponding transformations.
Rotated 180 degrees about the x-axis, translated +1 unit in all directions
Rotated 90 degrees about the x-axis, translated +1 unit in all directions
Rotated 180 degrees about the x-axis, translated +1 unit in all directions
Rotated 90 degrees about the x-axis, translated +1 unit in all directions
Rotated 180 degrees about the x-axis, translated +1 unit in all directions
Rotated 90 degrees about the x-axis, translated +1 unit in all directions
Rotated 180 degrees about the x-axis, translated +1 unit in all directions
Rotated 90 degrees about the x-axis, translated +1 unit in all directions
Rotated 180 degrees about the x-axis, translated +1 unit in all directions
Rotated 90 degrees about the x-axis, translated +1 unit in all directions
Rotated 180 degrees about the x-axis, translated +1 unit in all directions
Rotated 90 degrees about the x-axis, translated +1 unit in all directions