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Hi, I think what the algorithm does is it finds the first response of the face and returns you the bounding box. So one approach to get a better localization would be to use the first returned bounding box, and then use this region of interest ROI to localize it better using a proper search. Hope this could reduce the time consumed to detect a face.
If the face is big in size that you want to detect then setting to 1.3 instead of 1.2 could also help a bit. I donot know for what application (Face recognition) that you are going to use it for, so it might depend on that finally, if you want to have better localization or just know that there is a face. Thanks
