Known cameral positions
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these are 4k images for the most part but pulled from video. I cannot upload the other 3 images for some reason I'll try again
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Given the input images quality and quantity i am not entirely sure it is possible to obtain a good 3D model
8 cameras is a very small number and it's critical images are crisp enough. If you can share the dataset with me i can try processing it for you
If possible however i would try to use better camera sensors.Leave a comment:
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The problem Andrea is that when I try the mininmal Fixed cameras (one image per camera) it FAILS to construct a 3D model. My thought was that if I could tell the constructor the relative distances of the cameras, it could then use that to better assess the overlapping points of interst and properly map them in 3D space.
In this case I had 8 cameras encompassing an overlapping 360 degree view of the object
that was why I had the question earlier of what is the minimum number of cameras and overlaps. I've attached the images so you can see what I'm working with
5 PhotosLeave a comment:
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HI Karlsc,
zephyr lite does not allow the loading photos with known parameters so you can not proceed down the XMP workflow, so you will need Pro or Aerial. Let me know if you-d like a trialLeave a comment:
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Looking at the directions though, I'm not sure it will work. Because what ive found previously is that even with the guaranteed camera overlap..the import photos stage ignores some of the cameras
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Hi Karlsc,
if you have a fixed rig you should first create a "calibration" dataset, and then you can use the same internals and externals in other projects. The best way to do so is via XMP files that can be loaded quickly.
You can find the tutorial here: https://www.3dflow.net/technology/do...flow-tutorial/Leave a comment:
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Known cameral positions
If I have known inter-camera geometry, is there some way to tell 3D Flow about this, and will that aid in image construction? Specifically what I'm trying to do is create volumetric Video. So I have cameras at fixed distances from each other that cover the scene so that no "voxel" has less than 3 cameras viewing it. I have a total of 9 cameras spread over a roughly 12m x 12m space (a sailboat), not all in the same plane.
When I do standard image import, some of the images are not recognized as overlapping because much of the surface is "glossy" and what changes or object edges.Tags: None
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