Error-correction workflow

Development Asset Creation
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I’m trying to assess reality capture as a replacement for other photogrammetry software. I will be creating models for engineering and heritage, so I’m looking for an error-correction workflow that results in an object with scale (provided through scale-markers) and measurements that can be tested and certified for accuracy.  

My processes with other software was a multi-step workflow to slowly remove sparse-cloud interest-points with (relatively) high error, then re-optimizing/ re-aligning the camera positions to further refine the model. In using the trial version, I only found that selecting a lower “reproduction error” in the mesh-cloud settings as a way to help reduce error. While that helped, the lowest reproduction error reported was 0.55, even if I choose a lower number in settings. (Previously I aimed for a 0.3 reproduction error, on top of addition error-correcting methods)

Also, the only accuracy reporting is per-pixel, rather than a measurement. Is that because the trial version does not seem to have the scale feature?

Are there any other tips for an error-reduction workflow?

Thanks!

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Hi sctodd,

in your workflow, are you using some targets with coordinates or do you use them just for scaling? When you are using PPI license without  licensed inputs, then it is not possible to scale it.

About scaling there is this tutorial: https://www.youtube.com/watch?v=qb4EPyLBRHM&t=19s

Regarding the settings, do you mean Max feature reprojection error?

It is recommended to have mean and median error under 0.5. Also, you should watch the maximal error for the aligned component. This can be achieved using more precise alignment settings, but it seems that you did so.

When your project will be scaled or georeferenced, then you will see also position/scale precision.