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Optimize a take

The following topics describe common cleanup tasks involved in optimizing the results of automatic tracking.

The aim of the cleanup and optimization step is to take the initial tracking results, use a mixture of manual and automatic tools to correct any errors in the data, and to fill any gaps. This will result in clean 3D marker data for the whole take.

❙       Tracking errors or swaps

❙       Dropped or missing tracks

❙       Gaps due to lack of blobs

❙       Bad camera contributions

❙       Merged blobs

❙       Single camera tracking

❙       Interpolated gap filling

In addition to cleanup procedures described in the above topics, you may occasionally also need to use target tracking. For more information, see Target tracking in the Vicon CaraPost Reference.

If required, after you have corrected any errors and filled gaps, you can stabilize the results to obtain the best output and/or align the face data in the 3D world. For information, see Stabilize a take  and Align face data in 3D space.