I'm trying to develop some vision application to detect presence of small smd component. I already try some approaches, and would like to have opinions from all of you, what is the best one. 1. Template Matching, seems to have lot of fake recognitions, and since the scale and orientation may change it will fail. Right ? 2. HOG 3. Haar cascade seems to me the better, but with lot effort to train the cascade. What should I use inn your opinion?
