Hi! I have to detect parts in a bulk storage at high speed (at least 2-3 fps). I need high resolution because the working space is rather large (approx. 0.5x0.8 m) and the parts are small (centimeters range), so my camera resolution is 5MPix. I've tested the feature-based detection algorithms, SURF, SIFT and ORB were the best (all of them was stable, ORB is fast enopugh), but some of my workpieces are very simple, has not too much features to detect. I've tested the template matching (tempMatch), but it is very slow in high resolution and because of the bulk storage the algorithm must deal with changes in scale, rotation and aspect ratio. Has anybody experience with this type of task ? Which is the best algorithm ? Thanks in advance.
This forum is disabled, please visit https://forum.opencv.org