Hi, I'm computing SIFT algorithm with OpenCV on a kind of store shelf where I have to recognize some products. But since in this shelf I have two products that are very very similar except that for the color and for a writing, the algorithm is failing in the keypoint detection highlighting features in the wrong product.
What are your suggestions in order to avoid this misclassification and in order to find the right product on the shelf?