Hello
There are values from 2 and up applied to each point in the resulting pointcloud.
Are lower values the more accurate points?
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What field is this in? Is it not the classification value?
Doesn’t look like classification,
Isn’t classification a raster thing?
Point clouds get classified too according to an ASPRS scheme which is pretty nicely described here:
It’s the view count (stored in UserData); it indicates how many cameras have seen a point. Higher number → better.
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Ah yeah, forgot about this:
An important userdata scalar to keep when you are manipulating the point cloud part-way through… .
And it is important to understand that while more views are better, some locations are unlikely to have more than 3 views due to occlusion, so while it is a quality indicator, don’t go to wild trying to make it “best” everywhere unless you have a use case that requires it.
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Sounds strange as the lower values are much higher.
I wonder if the scale is reversed.
It represents how many camera positions can be seen for each point. As such it operates as a proxy for quality, as generally the more views you have, the better the quality of positional estimate you have for that location.
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With the images I have that feels strange looking at the result. I think that most points will bee seen in minimum three images.
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