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High density spatial mapping

CurvSurfCurvSurf ✭✭
edited June 2016 in Questions And Answers

Hi all,

We have obtained the spatial mapping data for a cylindrical wall corner of about 2m x 1m as below:

How can we get a more dense and regular one, as below?:

Joon

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    Hi HoloSheep,

    Thanks for your advice. :)

    We conclued the minimum inter-vertex distance of spatial mapping is about 4 mm. We might get a more dense point cloud. Then, we could recognize, detect, and measure smaller objects. With HoloLens and our middleware, the minimum size of measurable objects is about 1'.

    For our job, automatic (real-time) data processing, a post-processing is categorically excluded.

    Joon

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    @CurvSurf said:
    Hi HoloSheep,

    Thanks for your advice. :)

    We conclued the minimum inter-vertex distance of spatial mapping is about 4 mm. We might get a more dense point cloud. Then, we could recognize, detect, and measure smaller objects. With HoloLens and our middleware, the minimum size of measurable objects is about 1'.

    For our job, automatic (real-time) data processing, a post-processing is categorically excluded.

    Joon

    Hi, it will be appreciate if you could point out where to conclue the minimum inter-vertex distance of spatial mapping :)

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    CurvSurfCurvSurf ✭✭
    edited May 2017

    @Shawn said:

    Hi, it will be appreciate if you could point out where to conclue the minimum inter-vertex distance of spatial mapping :)

    We have tested some values of TrianglesPerCubicMeter only to know the upperbound is ca. 2000. Then, the least minimum inter-vertex distance was ca. 4 mm empirically not theoretically.

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