In a computer vision project, the image I want to process can be partitioned in "zones" containining multiple products of the same kind.
Provided that I can retrieve image information of all the possible kinds of product, I need to detect which kind is present in each zone, without the need to detect the position of each single product. In summary, I need to recognize "sets of products".
As additional info, the products have not a rigid shape, they are not oriented in the same manner and luminosity changes (so I am basically searching for shape, orientation and luminosity invariant approaches).
The reliable info I can exploit is that the products logos - or parts of them - are often visible and the products are quite colorful.
I would like to know about possible approaches that exploit the fact that I know the zones partition and approaches that do not exploit it.
