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Hi, Steffen
Thanks for your paper and code. But I have a question about the way to find the cam with most reconstructed points.
It's easy to understand that the counter "nr_recon[c]" should bigger than the threshold "60", but why the middle norm "normsAll[c]" should bigger than 0.06 ?
In my view, according to the bear1 cross product R*bear2 formula( bear1 x (Rbear2)), we can get a normal perpendicular to vector "bear1" and "Rbear2", and the norm of the normal is positive correlation with the area between two vector. So I think the norm smaller, the rotation "R" will be more accurately, isn't it?
MultiCol-SLAM/src/cMultiInitializer.cpp
Lines 178 to 191 in b68853c
| // find cam with most reconstructed points | |
| bool init = false; | |
| for (int c = 0; c < nrCams; ++c) | |
| { | |
| if (nr_recon[c] > 60 && | |
| normsAll[c] > 0.06) | |
| { | |
| init = true; | |
| bestCam = c; | |
| if (c > 0) | |
| if (normsAll[c] > normsAll[c - 1]) | |
| bestCam = c; | |
| } | |
| } |
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