What might help making a very sparse point cloud more dense?

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    Nino

    For what do u need spars cloud (tie points) more dense? Better to have les, but right one, than ton of them with greater error.

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    ShadowTail

    Higher sensitivity does mean more points overall but at the cost of RC picking less accurate ones.

    So your errors will be bigger.

     

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    Tom Foster

     

    Let's get this straight - is it true or not that

    as long as all (or enough) photos are Aligned,

    then no need for any 'better' point cloud - job done -

    move on to Reconstruction -

    because Reconstruction doesn't use the point cloud, just the Aligned photos?

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    Alice

    @Tom Foster

    That is exactely the question!

    The devs need to jump in here.

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    ShadowTail

    Most photogrammetry software computes first a sparse, then a dense point cloud and finally turns the dense cloud into a mesh. Including all the noise that comes with it.

    RC uses a different approach (Depth maps).

    RC can (and by default does) use the sparse cloud to give you a quick result when you do a preview reconstruction.

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    Tom Foster

    "Including all the noise ..." That's a great insight.

    So 'starting afresh with depth maps from the aligned photos' is just that - a fresh start (for better or worse) from whatever quality of photo alignment has been achieved (could be great but could also be error-full) but at least it's without the 'noise' accumulated in the 'try this/try that' of getting there.

    Personally I still don't understand how a data point in a depth map is any different from a point in a point cloud, nor how that data point is calculated if not by projection to tie point (just like the point cloud).

    But they say it's not only superior, but v much quicker than computing a dense point cloud - hence RC's speed?

     

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