package
Vision.Features
Image feature detection with bounded output capacity
Acquire bounded feature sets
D435FastFeatures and D435HarrisFeatures combine image scoring with bounded feature selection. Lower-level score and selection functions support alternative front ends without changing downstream geometry.
Choose image extents and feature capacity before translation. Preserve the pixel convention and enabled mask when passing sparse selections to Matching. A detector score describes image structure; it is not a calibrated position covariance or proof that a feature has usable depth.
Members
| Name | Kind | Description |
|---|---|---|
| D435FastFeatures | model | |
| D435HarrisFeatures | model | |
| FastCircleCanReachScore | function | |
| FastCircleScore | function | |
| FastCircleStencil | package | |
| FastFeatureSelection | model | |
| FastFrameScores | function | |
| FastIntegerCircleCanReachScore | function | |
| FastIntegerCircleScore | function | |
| FastIntegerFrameScores | function | |
| FastNativeFrame | model | |
| FastPatchScore | function | |
| FastSelectionScoreFloor | function | |
| FeatureSelection | model | |
| GridFeatureSelection | model | |
| HarrisNativeFrame | model | |
| SelectRasterFeatures | function |
Modelica declarations and implementation
Show parameters, interfaces and source
Parameters, inputs, outputs, defaults and equations from the source file.
package Features
"Image feature detection with bounded output capacity"
annotation(Documentation(info = "<html>
<h4>Acquire bounded feature sets</h4>
<p><a href=\"modelica://Vision.Features.D435FastFeatures\">D435FastFeatures</a>
and <a href=\"modelica://Vision.Features.D435HarrisFeatures\">D435HarrisFeatures</a>
combine image scoring with bounded feature selection. Lower-level score and
selection functions support alternative front ends without changing downstream
geometry.</p>
<p>Choose image extents and feature capacity before translation. Preserve the
pixel convention and enabled mask when passing sparse selections to
<a href=\"modelica://Vision.Matching\">Matching</a>. A detector score describes
image structure; it is not a calibrated position covariance or proof that a
feature has usable depth.</p>
</html>"));
end Features;