which types of descriptors opencv use for machine learning( local or global)
I do some researches about descriptors used in classification algorithms. I use opencv such a library so i should know how opencv machine learning algorithms work and which descriptors they use by default( local like sift and surf or global like color and shape) and if i can use other types of descriptors. Thanks in advance
i also think, you're somehow asking the wrong question.
what's your context ? what problem are you trying to solve ?
I would like to use SIFT/ SURT/HOG as features for machine learning algorithm like SVM/ANN
sure, what is stopping you ?
(for sift/surf, you will probably have to use some BOW approach (because descriptor count varies), while for HOG, you'll need a way to get tons of equally cropped positives/negatives)
I use Sift/SURF for the first time and don't know a lot about them. please can you give me an example in java that use theses descriptors for classification
sorry, cannot help much with java, atm. (not even sure, if the BOW methods are available from java)
Ok thank you a lot