This forum is disabled, please visit https://forum.opencv.org
 | 1 | initial version |
Actually I think this is a good question. I would guess it will only threat image pixels that stay half the radius from the border, but I am not sure of this. Other possibility is that it floods the 'unknown' pixels with the edge values, but this would lead to very misleading results.
| | 2 | No.2 Revision |
Actually I think this is a good question. I would guess it will only threat image pixels that stay half the radius from the border, but I am not sure of this. Other possibility is that it floods the 'unknown' pixels with the edge values, but this would lead to very misleading results.
I guess that is the most logical approach indeed ... Else the borders will have a way to high response to cornerness.
| | 3 | No.3 Revision |
Actually I think this is a good question. I would guess it will only threat image pixels that stay half the radius from the border, but I am not sure of this. Other possibility is that it floods the 'unknown' pixels with the edge values, but this would lead to very misleading results.
I guess that is the most logical approach indeed ... Else the borders will have a way to high response to cornerness.
EDIT: Since I am still convinced that I am correct, I went into a deeper investigation after reading this topic. Looking into how LBP feature descriptor calculates it values, I found it specific that exactly 1 pixel border is left out. This seems to confirm the fact that there is actually an ignoring of the actual border pixels, in order not to create unmeaning values.
