Haar cascade vs Lbp cascade vs Hog Cascade in object detection

asked 2014-04-05 13:12:27 -0500

victorzx gravatar image

I am doing an project about recognizing one kind of leaf. Well I am using opencv c++. I have read about using 3 different features extraction but I do not know when I can use haar, lbp or hog. I want to use my program in a embedded system so the thing is what type of feature exctraction is better in emebedded system? and why?

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You should look up each of the feature types and do some research to understand how they work,and then ask more detailed questions. I'll put some links here for you. There are so many different variables about your embedded system that are unknown to us that it makes it impossible to gauge what will be the best. It will take time and experimentation, really, no matter what. Depending firstly on your system constraints and what kind of features you wish to detect. HoG: http://en.wikipedia.org/wiki/Histogram_of_oriented_gradients HAAR: http://en.wikipedia.org/wiki/Haar-like_features LBP: http://en.wikipedia.org/wiki/Local_binary_patterns Good Luck!

AbbeFaria gravatar imageAbbeFaria ( 2014-06-13 09:53:06 -0500 )edit