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Author Topic: Point Cloud classification by color  (Read 27402 times)

Patribus

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Re: Point Cloud classification by color
« Reply #15 on: May 08, 2015, 06:22:02 PM »
Please, dear Agisoft Team, give me just a hint, if I can expect some development in this direction,

because if not, I'll really have to search and find some other software alternative for the methods I'm developing.

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Alexey Pasumansky

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Re: Point Cloud classification by color
« Reply #16 on: May 08, 2015, 11:29:13 PM »
Hello Patribus,

Unfortunately, at the moment I'm not sure if this feature will be included in the version 1.2. At least not in the first pre-release.
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Alexey Pasumansky,
Agisoft LLC

Patribus

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Re: Point Cloud classification by color
« Reply #17 on: May 09, 2015, 02:48:39 PM »
Hi Alexey,

somehow I was expecting that answer ;-)

That's why I started to go through the Python Reference Manual.

I would like to have access to the color value of each point of the dense point cloud, but I do not find anything in the manual which corresponds to this.

Could you give me a hint?

I would try to write a script myself to select points by color to mark and delete them from the cloud.

Cheers

Patribus

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Re: Point Cloud classification by color
« Reply #18 on: May 11, 2015, 11:02:24 PM »
Can someone help me?  ???

Alexey Pasumansky

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Re: Point Cloud classification by color
« Reply #19 on: May 13, 2015, 08:26:29 PM »
Hello Patribus,

Unfortunately, there's no access to the individual dense cloud points and also no possibility to check their colors using Python.
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Alexey Pasumansky,
Agisoft LLC

Patribus

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Re: Point Cloud classification by color
« Reply #20 on: May 13, 2015, 09:45:46 PM »
OK, so I give up on this issue.  :'(

I hope this will be integrated some day, be it through the UI, be it through phyton interface.


Alexey Pasumansky

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Re: Point Cloud classification by color
« Reply #21 on: August 04, 2015, 10:41:35 AM »
Hello Patribus,

Some good news for you :)

In the 1.2 pre-release we will include the instrument allowing to select the dense cloud points according to the user-defined color and tolerance level.
Best regards,
Alexey Pasumansky,
Agisoft LLC

Patribus

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Re: Point Cloud classification by color
« Reply #22 on: August 04, 2015, 08:49:52 PM »
Uauu, that's fantastic.

Just pitty it didn't came earlier, since we lost the possibility to implement a procedure based on Agisoft on a large scale due to this missing feature.

But there is still another client who would represent a good chance to use Agisoft with this feature included for a process which would could be used also on a  larger scale (i.e. several teams would need a Agisoft copy for it),

But first I'll try the feature as soon as I find a possibility.

I'm really curious how effectively it works.

Congratulations for this new implementation.

Alexey Pasumansky

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Re: Point Cloud classification by color
« Reply #23 on: August 07, 2015, 06:02:55 PM »
Hello Patribus,

Please check the pre-release of 1.2 for this feature (Tools Menu -> Dense Cloud -> Select Points by Color):
http://www.agisoft.com/forum/index.php?topic=4149.0
Best regards,
Alexey Pasumansky,
Agisoft LLC

Patribus

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Re: Point Cloud classification by color
« Reply #24 on: August 07, 2015, 09:07:42 PM »
Well I musst say: you're really the best...

I did not only check the selection of points by color, which is a great and very important tool, but also the new mosaic generation (very quickly).

I was almost irritated, that the 'average' option is gone from the possible export types, but when i opened the new ortomosaic, the image is perfect. And I'm talking about orthomosaics of forests, which are really difficult to look clean.

Nevertheless the question, why is the average option gone?
« Last Edit: August 07, 2015, 09:14:04 PM by Patribus »

Patribus

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Re: Point Cloud classification by color
« Reply #25 on: August 07, 2015, 09:15:36 PM »
the only thing i do not find and which is very important for me is the edition of the seam line. Where do I find it?
« Last Edit: August 07, 2015, 09:20:41 PM by Patribus »

Alexey Pasumansky

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Re: Point Cloud classification by color
« Reply #26 on: August 07, 2015, 09:24:18 PM »
Hello Patribus,

I've posted a brief instruction on seam line editing here: http://www.agisoft.com/forum/index.php?topic=4149.msg21295#msg21295

We've removed Average option, as it is not compatible with the seam-lines. Is there are specific reason why you prefer average blending over mosaic?
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Alexey Pasumansky,
Agisoft LLC

Patribus

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Re: Point Cloud classification by color
« Reply #27 on: August 07, 2015, 09:58:03 PM »
the average blending had the advantage that the orthoimage looked much more plastic... it was always a bit more blury, but as an advntage, you could really see the stiff borders of objects (well, in our cases trees, since we are working in forests).

What I mean can be seen in a webmap we produced some time ago http://elsilencio.forestvisions.it/

I prepared a small video which shows how to use it. https://youtu.be/V4pADuIL0ao

So, as you can see, through the average process you get border lines on the objects (probably form shadow information, I never really understood how they originate) which are an additional information for the viewer (user) to interpret the maps.

I hope you understand what I mean.

The other advantage we had with averaging was that you got rid of different exposures in the image (shadow areas vs sunny areas, for instance). This made the map more homogeneous. I still did not check how this aspect works with the new version of PS. But at least it was an aspect which was important for us with the averaging of the color values.

Cheers


Patribus

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Re: Point Cloud classification by color
« Reply #28 on: December 24, 2015, 01:01:36 AM »
Hi Alexey,

you added the average option in the creation of orthomosaics.

that's really good for us, for the reasons I explained above.

Just wanted to comment on that
Cheers

photoscan_user

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Re: Point Cloud classification by color
« Reply #29 on: July 18, 2016, 07:55:44 PM »
Is there any way to classify not the point cloud, but initial images (maybe outsize photoscan) and then use images and class masks as input to photoscan?