So far I have created two LBP classifiers that do a decent job of identifying the shapes I need identified however, I would like to increase the accuracy and I have the following questions:
- Should all the positive and negative images be of the same size? i.e. 64 x 64 or 32 x 64 etc...
- If #1 is a no, do all the positive images or all the negative images have to be the same size or ratio?
- Should the positive image be cropped to only include what I am looking for or should it have some background ?
- Should the negative image be totally different (ex: out of context) from the positive or should it be similar (ex: display the background but not the positive image)
- Are there any rules of thumb on how many images I should use. So far I have used 1000 positive and 1000 negative.
- Does image orientation play any role i.e. left to right vs right to left?
Thanks in advance WGB