![]() | 1 | initial version |
scale factor. "MultiScale" means, an image pyramid is searched, where each level is a factor of X larger (1.05 here) smaller values will make a more exact detection, smaller values will make it faster.
minNeighbours. this determines, how many detections (at different scales) have to be found, to make it a valid detection. increase it, if you get false positives, decrease it, if you start to miss faces.
minSize. obviously, the minimum size to search for faces. now, since all the cascades were tryined on 24x24 rects, and since it can never detect something smaller than that, you probably should increase it to 30x30 or such.
maxSize. if left empty, it will search up to the whole image size.
![]() | 2 | No.2 Revision |
scale factor. "MultiScale" means, an image pyramid is searched, where each level is a factor of X larger (1.05 here)
smaller values will make a more exact detection, smaller larger values will make it faster.
minNeighbours. this determines, how many detections (at different scales) have to be found, to make it a valid detection. increase it, if you get false positives, decrease it, if you start to miss faces.
minSize. obviously, the minimum size to search for faces. now, since all the cascades were tryined on 24x24 rects, and since it can never detect something smaller than that, you probably should increase it to 30x30 or such.
maxSize. if left empty, it will search up to the whole image size.