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Darken Image
Dims the brightness of the image in viewers to better see the overlaid tracks. This affects both the 2D
and 3D viewers.
Visibility
Toggles which overlays will be displayed in the 2D and 3D viewers. The options are Tracker Markers,
Trails, Tooltips in the 2D Viewer, Tooltips in the 3D viewer, Reprojected Locators, and Tracker Patterns.
Colors
Sets the color of the overlays.
– Selection Color: Controls the color of selected tracks/locators.
– Preview New Tracks Color: Controls the color of the points displayed in the viewer when the
Preview AutoTrack Locations option is enabled.
– Solve Error Gradient: By default, tracks and locators are colored by a green-yellow-red gradient
to indicate their solve error. This gradient is completely user adjustable.
Reporting
Outputs various parameters and information to the Console.
Understanding Camera Tracking
On large productions, camera tracking or 3D match moving is often handed over to experts who have
experience with the process of tracking and solving difficult shots. There is rarely a shot where you
can press a couple of buttons and have it work perfectly. It does take an understanding of the whole
process and what is essential to get a good solved track.
The Camera Tracker must solve for hundreds of thousands of unknown variables, which is a complex
task. For the process to work, it is essential to get good tracking data that exists in the shot for a long
time. False or bad tracks will skew the result. This section explains how to clean up false tracks and
other techniques to get a good solve.
Workflow
Getting a good solve is a repeated process.
Track > Solve > Refine Filters > Solve > Cleanup tracks > Solve > Cleanup from point cloud >
Solve > Repeat.
Initially, there are numerous tracks, and not all are good, so a process of filtering and cleaning up
unwanted tracks to get to the best set is required. At the end of each cleanup stage, pressing Solve
ideally gives you a progressively lower solve error. This needs to be below 1.0 for it to be good for use
with full HD content, and even lower for higher resolutions. Refining the tracks often but not always
results in a better solve.
False Tracks
False tracks are caused by a number of conditions, such as moving objects in a shot, or reflections
and highlights from a car. There are other types of false tracks like parallax errors where two objects
are at different depths, and the intersection gets tracked. These moiré effects can cause the track to
creep. Recognizing these False tracks and eliminating them is the most important step in the
solve process.
Track Lengths
Getting a good set of long tracks is essential; the longer the tracks are, the better the solve. The
Bi-Directional tracking option in the Tracker tab is used to extend the beginning of tracks in time. The
longer in time a track exists and the more tracks that overlap in time of a shot, the more consistent and
accurate the solve.
Chapter 117Tracker Nodes 2365
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