User Manual

How to Judge Track Accuracy
The automatic color coding of tracking markers makes deleting false or poor tracks easier. After
the solver runs, each tracker is assigned a solve error color that indicates which 3D locators
match their 2D tracking points well, and which match up poorly.
 Green: Good. Tracked very well.
 Yellow: Moderate confidence. Usually an acceptable track.
 Orange: Low Confidence. May be acceptable in some situations.
 Red: No Confidence. The tracks have not solved well.
Hovering the pointer over any tracking point displays a large metadata tooltip that includes the
solve error for the point. For a more visual representation of the accuracy, you can enable the
display of 3D locators in the viewer by clicking the Reprojection Locators button in the
viewer toolbar.
After a solve, the Camera Tracker toolbar can display Reprojection locators.
When the tracking points are converted into a point cloud by the solver, it creates 3D
reprojection locators for each tracking point. These Reprojection locators appear as small X
marks near the corresponding tracking point. The more the two objects overlap, the lower the
solve error.
Reprojection locators displayed with tracking points, and tooltip.
The goal when filtering the trackers is to remove all red tracker marks and keep all the green
marks. Whether you decide to keep both the yellow and orange or just the yellow is more a
question of how many marks you have in the clip. You produce a better solve if you retain only
the yellow marks; however, if you do not have enough marks to calculate the 3D scene, you will
have to keep some of the better orange marks as well.
1599Chapter – 77 3D Camera Tracking