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Author Topic: Request: Dense Cloud Filtering  (Read 20922 times)

Ingsayyad

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Re: Request: Dense Cloud Filtering
« Reply #15 on: July 31, 2015, 12:07:37 PM »
+1 for dense point cloud filtering.

Darko

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Re: Request: Dense Cloud Filtering
« Reply #16 on: August 04, 2015, 07:26:55 AM »
+1 for dense cloud filtering!!!

Mfranquelo

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Re: Request: Dense Cloud Filtering
« Reply #17 on: September 02, 2015, 04:03:57 PM »
+1 !! :)

mrrafs

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Re: Request: Dense Cloud Filtering
« Reply #18 on: September 11, 2015, 07:43:13 PM »
+1 i like the way Geoscan does this feature

garynobles

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Re: Request: Dense Cloud Filtering
« Reply #19 on: October 02, 2015, 01:25:42 AM »
Another +1

Struggling with 16GB RAM due to stupidly high point cloud, there are areas I need details and areas where I don't
I now have 200,256,361 points and trying to merge with another even bigger chunk which makes it run out of memory

nadar

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Re: Request: Dense Cloud Filtering
« Reply #20 on: October 03, 2015, 11:29:05 AM »
New function of mesh smooting is fine, but has a terrible impact on buildings (rounded corners). Is there a possibility to have a filter preserving planar surfaces ?

AndyC

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Re: Request: Dense Cloud Filtering
« Reply #21 on: January 28, 2016, 08:38:49 PM »
+1

cbnewham

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Re: Request: Dense Cloud Filtering
« Reply #22 on: September 26, 2016, 12:46:34 AM »
There needs to be a way to decimate the dense point cloud.

As it stands, I can easily generate point clouds of 50 million or more points from hundreds of photos, but the whole thing dies as soon as it attempts to generate a mesh. By "dies" I mean just that - it doesn't even exit gracefully. PhotoScan just disappears, having crashed.

My limit is about 45 million points. Currently there is no way to export the cloud, decimate it, and re-import it and I'm rather baffled that this is not even available, even if there is no built in decimation or filtering.

gleitfrosch

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Re: Request: Dense Cloud Filtering
« Reply #23 on: February 08, 2017, 05:04:52 PM »
Bump +1 need this so bad :(

Thibaud Capra

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Re: Request: Dense Cloud Filtering
« Reply #24 on: February 17, 2017, 11:05:33 AM »
+1, I have to use derivated ways to decimate / resample / mesh parts of cloud that fit my needs. I'd love to have a whole PhotoScan pipeline and be able to do everything I need from A to Z not having to switch between softwares!
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Thibaud CAPRA
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Master Thesis in Automated Processing of UAV-based Photogrammetric Data (ResearchGate Link)
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maddin

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Re: Request: Dense Cloud Filtering
« Reply #25 on: February 28, 2017, 04:37:06 PM »
Just the other day, I was wondering why Gradual Selection is not available for dense points?

cbnewham

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Re: Request: Dense Cloud Filtering
« Reply #26 on: September 02, 2017, 01:41:51 AM »
Nearly 4 years since this thread was started. A year since I last commented. One of a few threads on this particular topic.

Come on Agisoft. Don't you ever read this forum? This doesn't appear to be very complex to implement and would make the whole application far easier to use. Either that or provide a proper sliding scale for photos rather than Ultra, High, Medium, etc.


Yoann Courtois

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Re: Request: Dense Cloud Filtering
« Reply #27 on: September 06, 2017, 12:42:35 PM »
Hi cbnewham !
Everybody is asking for that kind of tool, and me too...
But when you look at other softwares, which are specialized in point cloud processing, decimating tool is never instantaneous, which means it's not an easy process.
No answer for Agisoft doesn't mean they didn't read it by the way.
The used sliding scale corresponds to picture downscale which is the only thing that can be control. What else would you have ? Any other sliding scale would include a decimating step (the same we have for meshing), and for the moment there is not.

Come on Agisoft. Don't you ever read this forum? This doesn't appear to be very complex to implement and would make the whole application far easier to use. Either that or provide a proper sliding scale for photos rather than Ultra, High, Medium, etc.

For maddin, to my mind gradual selection tools are based on image data, because sparse cloud is composed of points linked with pictures. Whereas in dense cloud, points are independent from pictures after its generation. So none process can be based on gradual selection functioning.

Just the other day, I was wondering why Gradual Selection is not available for dense points?

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Yoann COURTOIS
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