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Author Topic: Identifying the location of a dense cloud point within a raw photo  (Read 303 times)

dyoung

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Hello -- if I select a specific point in my dense cloud (or any arbitrary point in 3D space), is there any way I might be able to "back-calculate" where that point would be in one of my raw photos (i.e., which pixel of the raw photo is closest to it)? I realize this is a very unusual request, but I wanted to ask just in case someone has a clever solution.

The reason I ask is that I would like to be able to mark the top and bottom of a tree in my point cloud (or simply specifying the 3D coordinates) and then identify where those two points would be (pixel coordinates) in one of my photos.

Thanks for any insight!

Alexey Pasumansky

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Re: Identifying the location of a dense cloud point within a raw photo
« Reply #1 on: March 26, 2020, 02:43:23 PM »
Hello dyoung,

Yes, you can project a 3D point to the cameras and get the 2D coordinates in the image space using Python. Do you need an example?
Best regards,
Alexey Pasumansky,
AgiSoft LLC

dyoung

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Re: Identifying the location of a dense cloud point within a raw photo
« Reply #2 on: March 26, 2020, 06:54:38 PM »
Hi Alexey --  Excellent! Yes, I would love an example, if you have time. Thank you!

fjgarciam

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Re: Identifying the location of a dense cloud point within a raw photo
« Reply #3 on: March 31, 2020, 09:29:50 PM »
Hello dyoung,

Yes, you can project a 3D point to the cameras and get the 2D coordinates in the image space using Python. Do you need an example?

can be done for a shape on the orthomap? i can import a shape and have all the frames with 2d coordinates of the shape?

Paulo

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Re: Identifying the location of a dense cloud point within a raw photo
« Reply #4 on: April 01, 2020, 05:25:24 AM »
Yes, just select the shape and with right click menu, select Filter Photos by Shapes and filtered images appear in Photos pane...
« Last Edit: April 01, 2020, 05:28:22 AM by Paulo »
Best Regards,

Paul Pelletier