Hi,
I have decided to use binary feature matching in an application, and after reading here and there, I finally decided to use ORB/ORB or BRISK/BRISK (and maybe FREAKS descriptor in further step)
I don't want for the moment to switch to opencv 3.x so I momentally eliminated AKAZE from my choices.
I currently use opencv 2.4.8
I read a post of end 2014 : [link text](http://stackoverflow.com/questions/23657711/performance-issues-using-brisk-detector-descriptor-opencv)
which led me to : [link text](https://github.com/opencv/opencv/pull/3383)
If I well understand (which is not sure ;), BRISK implementation at least for the detection isn't "stable", so If I stick to opencv 2.4.8 I should better use ORB/ORB (or ORB/FREAKS if it's possible) ?
Remark: I don't talk about quality comparison of the features, only opencv version "stability"
So I just wonder :
- Was it some isolated points of view or a "real" issue noticed by many people ?
- Do any following opencv 2.4.x versions fixed the issue ?
Thanks in advance :)
↧