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SIFT with very similar objects

asked 2020-04-05 11:21:18 -0600

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?

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answered 2020-04-06 01:25:06 -0600

berak
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updated 2020-04-06 02:41:47 -0600

where I have to recognize some products.

please don't try with SIFT feature matching, it was not meant to be used this way, and it does not know about "objects" at all

the algorithm is failing in the keypoint detection

that's expected. wrong tool for the job

What are your suggestions

(re)train / finetune some cnn model, like YOLO, SSD, RCNN, and use it with opencv's dnn::Net

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Asked: 2020-04-05 11:20:25 -0600

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Last updated: Apr 05 '20

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