I am attempting product classification based on image processing. I will have (say 10000) images of, say 5, different types of object and my system will segregate those. As a solution, I am trying to extract select haar features and the location on the image where these features were detected. I will then train a classifier(to be decided) on these fields.
I am concerned about the time it will take to extract all haar feature at every location in the image (unlike face detection wherein absence of one feature eliminates the need to find other features in that window). I have my naive function which detects feature by usual way of summing in integral images but it is suboptimal. Is there a way I can do this computation faster (some library etc). Language/Tool is not a barrier. Thanks.