Comments (3)
lambdaloop
commented on May 23, 2024
You're right, these are not appropriately described. I'll have to put together an example for how each parameter affects the optimization in the docs
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Sam-Kelly
commented on May 23, 2024
Hi,
I'm also trying to use your 3D triangulation optimisation methods. As I understand it, scale_smooth and scale_length are the scale factors for the 'limb length' and 'temporal' loss described in the paper.
What were the parameters you used to get good quality 3D points? (Like in figure 7 in the paper). And how did you decide on those parameters?
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RiSpa5
commented on May 23, 2024
Hi, did you manage to understand more on the effects of different parameters for 2D and 3D filtering? As far as I can see there is still no documentation on the subject, or at least I wasn't able to find any!
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