Hey guys,
I've been playing around with photogrammetry software for a few months and I thought I'd show some results with the community:
youtu.be/
Taken with my trusty Oneplus 2.
youtu.be/
Canon EOS 450D.
youtu.be/
Canon again.
youtu.be/ \
Snapped some drone footage from youtube for this one.
youtu.be/
Drone footage again.
youtu.be/
Canon EOS 450D
Bear in mind that the drone footage was not intended to be used for this purpose but I made the best of it.
Enjoy, and let me know what you think!
Photogrammetry and it's potential
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Re: Photogrammetry and it's potential
Hi,
Very impressive ideed.
I'd have some questions: how many shots are required to build a model such as the façade or the temple area?
What accuracy are you able to reach?
One of my customer is asking me if I can scan a racing circuit (length 2,5km). So, the question is laserscanning or photogrammetry.
He's asking for an accuracy closed to 1cm for the circuit and about 10cm for the surrounding areas.
Very impressive ideed.
I'd have some questions: how many shots are required to build a model such as the façade or the temple area?
What accuracy are you able to reach?
One of my customer is asking me if I can scan a racing circuit (length 2,5km). So, the question is laserscanning or photogrammetry.
He's asking for an accuracy closed to 1cm for the circuit and about 10cm for the surrounding areas.
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Re: Photogrammetry and it's potential
Stone bench: 52
Facade: 22
Budawall: 36
My sons temple: 188
Temple of Artemis: 267
I cannot vouch for the drone footage accuracy wise since I have no benchmark points.
For the small models like the facade and the bench I am getting millimeter accuracy.
A race track could be done with photogrammetry.
If you need cm accuracy for the track, i would assume GPS measurements are good enough?
If that's the case, after you are done with flying the drone you could take GPS measurements along the track of well identifiable points (sharp corners, roof edges, curve lines, etc)
Focus point with photogrammetry is that you cannot have moving targets while shooting your object/site.
This creates false tie-points and is very labor intensive to correct.
*edit
Accuracy achieved in the final product depends heavily on the quality of the input photos, so a drone shooting 4k clip will not do the job in this case I think (although I love the DJI Phantom's ).
Facade: 22
Budawall: 36
My sons temple: 188
Temple of Artemis: 267
I cannot vouch for the drone footage accuracy wise since I have no benchmark points.
For the small models like the facade and the bench I am getting millimeter accuracy.
A race track could be done with photogrammetry.
If you need cm accuracy for the track, i would assume GPS measurements are good enough?
If that's the case, after you are done with flying the drone you could take GPS measurements along the track of well identifiable points (sharp corners, roof edges, curve lines, etc)
Focus point with photogrammetry is that you cannot have moving targets while shooting your object/site.
This creates false tie-points and is very labor intensive to correct.
*edit
Accuracy achieved in the final product depends heavily on the quality of the input photos, so a drone shooting 4k clip will not do the job in this case I think (although I love the DJI Phantom's ).
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Re: Photogrammetry and it's potential
Hi good samples
we have done small objects with very good result (hundreds of photos) and used AEROmetrex for larger areas (thousands of photos).
Some samples can be found here
http://www.aerometrex.com.au/gallery.html#video
Andrej
we have done small objects with very good result (hundreds of photos) and used AEROmetrex for larger areas (thousands of photos).
Some samples can be found here
http://www.aerometrex.com.au/gallery.html#video
Andrej
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Re: Photogrammetry and it's potential
The theory and practice of photogrammetry were basically completed by the two geniuses Wester-Ebbinghaus, W. and Brown, D.C. in 60's~80's, the era of 30 cm negas. The correspondence problem was solved later by using RANSAC, a Computer Vision technique. Then early 80's, laser scanner was invented and developed further. From the mid of 90's, Ph.D. candidates have to search thema in applications of photogrammetriy, not theoritical ones. Then, laser scanners have been dominating the 3-D market till now. But from now? There will be the time for photogrammetry! But, the next 5 years after the next 5 years? Who knows?
Last edited by Joon on Fri Sep 16, 2016 4:33 pm, edited 1 time in total.
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Re: Photogrammetry and it's potential
I guess your talking about digital photogrammetry, analogue stereoscopic photogrammetry has been going longer than that.
http://www.wild-heerbrugg.com/photogrammetry1.htm
The A5 played a major roll in WWII
http://www.bbc.co.uk/news/magazine-13359064
http://www.wild-heerbrugg.com/photogrammetry1.htm
The A5 played a major roll in WWII
http://www.bbc.co.uk/news/magazine-13359064
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Re: Photogrammetry and it's potential
I have been experimenting with combining laser scanning and photogrammetry for accurate survey work, using Reality Capture from Autodesk. I'm interested in augmenting building surveys done on the ground with drone footage (which can capture details that cannot be surveyed from the ground).
It's interesting to compare the photogrammetric point cloud with the laser scanning cloud. I have noticed that sharp edges appear slightly rounded in the photogrammetric data. I can also see that data further away from the camera is junk and that you need a good number of control points to do a large building facade and be confident with the resultant mesh.
There's also a learning curve with how many pictures to take and where to take them. Too close up and they are hard to match, you need good overlap, sun flares can cause problems and then there can be issues with focus, transparent objects and dark shadows.
It's also amazing how great a poor mesh that has been nicely textured can look, it's only when you take off the imagery and look at the mesh that you can see the problems.
I have a question regarding Reality Capture, it doesn't seem to want to create an ortho-image, it just canes the processor for hours before I eventually crash the program. Has anyone else experienced this?
It's interesting to compare the photogrammetric point cloud with the laser scanning cloud. I have noticed that sharp edges appear slightly rounded in the photogrammetric data. I can also see that data further away from the camera is junk and that you need a good number of control points to do a large building facade and be confident with the resultant mesh.
There's also a learning curve with how many pictures to take and where to take them. Too close up and they are hard to match, you need good overlap, sun flares can cause problems and then there can be issues with focus, transparent objects and dark shadows.
It's also amazing how great a poor mesh that has been nicely textured can look, it's only when you take off the imagery and look at the mesh that you can see the problems.
I have a question regarding Reality Capture, it doesn't seem to want to create an ortho-image, it just canes the processor for hours before I eventually crash the program. Has anyone else experienced this?
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