Scan + Google Street View

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CG

• August 04, 2018 17:57

I have a project that involves comparing a scan I did recently with older Google Street View images. The area of interest is a residential neighbourhood with plenty of features that are unchanged from when the GSV images were taken and when I did my scan. The only thing that has changed is the height of one phone cable between two poles. I've been trying to use RC to align the GSV images with my scan data and hopefully get a (somewhat accurate) result that shows the wire at the two heights.

I know this is a bit of a stretch because GSV stitches it's images together in a way a distortion model can't necessarily predict and I also have only a few possible images I can use. I've been trying to use tie points to get everything to align but no luck. 

I'm a bit new to RC and not a photogrammetry expert but my understanding is that there is a setting that will allow for greater inaccuracy and more tenuous links between photos and scans. Where can I adjust this? Any advice for how I should approach this?

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  Götz Echtenacher

  • August 06, 2018 06:56

  Did you do the first scan with different software?

  And what exactly is the problem - do the GSV images not align at all or is it just that the cable won't be modeled?

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  CG

  • August 07, 2018 01:31

  The scan is an e57 from Cyclone (just one setup). The GSV images won't align at all, either on their own or when I add the scan.

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  Götz Echtenacher

  • August 07, 2018 08:06

  Hmm, if the don't align on their own then I would say that it won't work.

  With one setup you mean one file for the whole scan? Depending on the complexity, that might also be a reason why it won't work.

  Screenshots and sample images would make an assesment easier though...  ;-)

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  CG

  • August 07, 2018 16:49

  Below are some of the images I'm trying to align. Is there any way to force an alignment even if the results are poor?

  The scan is both one file and one scanner setup within that file.

   

  
  
  
  
  

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  Götz Echtenacher

  • August 07, 2018 18:05

  1 and 2 seem to be the same position so worthless for photogrammetry. If you don't have much more I think it's pretty hopeless to be honest. Also, the images have pretty bad artifacts in them, so the algorythms get confused because they don't expect that. You can try using control points but don't get your hopes too high...

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