I need to find a good method to extract key points from drawing symbols like elements in CAD drawings (eg in 2D objects for the bathroom that can be placed on a floor plan).I've already tried all type available in openCV/accord (FAST, SURF, Harris, ..) but all of them failed to give me any point.The images are blank and white (with some sort of grey scale) and I'd like to find the position of a limited set of symbols inside bigger images containing other unknown objects/shapes (that I'm not interested in anyway).The basic idea is to get the descriptors for my symbols and check if the target image contains similar descriptors.If I have a good method for descriptors then I can train a classifier to check all the descriptors from the input images and so I can also know the position related to the recognized object.Framework can be any with preference on OPENCV, Accord.net, tensorflow
what could it be a good descriptor for simple greyscale symbols?
classification;object recognition