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Industrial Photogrammetry uses coded and non-coded circular targets in order to calibrate the camera and compute the orientation. Later on the dense-cloud is computed.

In the photogrammetric community it is well known, that the detection accuracy for circular targets is superior to sift or equivalent, since they can be detected with ~ 1/100px accuracy while sifts are ~ 1/5.

Therefore it would be nice to have a feature where I could choose that PhotoScan should choose only coded and non-coded circular targets for the orientation and calibration process and sift targets to generate the dense clouds.

Thank you

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General / Support for image data with more than 8 bits
« on: January 23, 2018, 01:15:59 PM »
Does PhotoScan provide internal support for images with more than 8 Bits Per Pixel?

I mean if it is used to produce the Dense Cloud?

It would be a benefit if the texture does not provide much contrast for the tie point generation.

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Python and Java API / Load dense point cloud as numpy array
« on: December 11, 2017, 05:44:30 PM »
I've created a dense point cloud.

Now i need to store it as [ x,y,z,r,g,b ] column oriented numpy array.

Do do I achieve it?

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Dear Agisoft Team,

We need the surface normals for coded and circular targets. Is there any option which is already implemented and ready to use?

Thanks

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