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Author Topic: Processing Time - Build Point Cloud  (Read 9526 times)

vineg

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Re: Processing Time - Build Point Cloud
« Reply #15 on: November 02, 2024, 01:54:06 PM »
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I'd really like to better understand the theory behind how laser scans are treated for alignment, depth map generation, and point cloud generation

Alignment of scans with images is currently done using features from panoramas either embedded in scans or extracted from colors and using markers (they have priority over features) with respect to reference from metadata. In the following steps scans and images are treated independently.

Regards, Egor

Tas

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Re: Processing Time - Build Point Cloud
« Reply #16 on: November 02, 2024, 04:13:03 PM »
The meshing process, when referencing depth maps + laser scans for generation, must somehow reference and prioritize the laser scan geometry, right?

Perhaps generating a point cloud from the mesh vertices would generate a different result than generating a point cloud directly from depth maps? Am I making sense here?

The reason I ask is because I run into situations where the mesh geometry is clean (e.g., single wall plane) and the point cloud is erroneous (e.g., multiple intersecting walls planes generated).

If I’m able to open my model in Meshlab (or similar) to convert the mesh to a point cloud, I’ll report back.

vineg

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Re: Processing Time - Build Point Cloud
« Reply #17 on: November 02, 2024, 06:55:36 PM »
Tas, yes, when you building a mesh - surfaces in front of laser scans are filtered out and small misalignments are likely to be merged to a single surface.

You can later convert it to a point cloud if you select Model as a "Source Data" in a "Build Point Cloud" task.
Either vertices will be extracted or uniform points will be scattered on the surface.

Regards, Egor
« Last Edit: November 02, 2024, 06:58:01 PM by vineg »

Tas

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Re: Processing Time - Build Point Cloud
« Reply #18 on: November 03, 2024, 08:11:39 PM »
Egor - thanks for pointing that out - I hadn't even considered that option. I was very hopeful, but unfortunately the results seems to be comparable in terms of offsets. Snapshot attached.