To display: Select an object or model and choose Tools Plot All Transformations, Rotations, Positions, Marked Parameters, or Constrained Transforms from the Animate toolbar.
For more information, see Plotting (Baking) Animation [Animation].
The settings you make in this dialog box are kept so that the next time you plot (within the same session of Softimage), the same options are selected. This makes it easy to do several similar plots in a row. These settings are kept in a custom parameter set named PlotToAction that is found under the scene root.
Action Name |
Name of the action source that is created. If you select Delete plotted action (below), this name is irrelevant. |
Kind of Fcurve |
Choose the type of function curve that is created when you plot the animation:
|
Interpolation |
You can select the type of interpolation only when the Standard fcurve option is selected: Spline, Linear, or Constant. These are the same as fcurve interpolations in the animation editor — see Choosing a Function Curve Interpolation Type [Animation]. If you plan to do curve fitting, it's best to create standard spline curves. |
Process rotations to ensure continuity |
Any complete (full 360-degree) rotations or more are processed for continuity. This option treats orientation as an entity instead of individual X, Y, and Z Euler rotation function curves. This allows the plot processing to avoid "spikes" in the continuity of the rotation curves, when they may jump between equivalent (but discontinuous) representations. You may want to select this option when plotting rotations if you plan to stretch, mix, or manipulate them as actions in the mixer. Only Rotation X/Y/Z function curves are processed by this command. For example, the Roll parameter on a skeleton's bone is not considered to be a rotation fcurve, so its rotation is not processed. |
Fit Plotted Values with an Fcurve |
Reduces the number of keys on the fcurves resulting from the plot. |
Fit Tolerance |
If the previous option is selected, use this option to adjust the closeness of the fit of the curve. Smaller values respect the original shape of the curve more by using more keys, resulting in a fit that keeps closer to the original curve. |
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