Product recognition in store shelves as a sub-graph isomorphism problem

Authors: Alessio Tonioni and Luigi Di Stefano
Published in International Conference on Image Analysis and Processing, 2017


The arrangement of products in store shelves is carefully planned to maximize sales and keep customers happy. Verifying compliance of real shelves to the ideal layout, however, is a costly task currently routinely performed by the store personnel. In this paper, we propose a computer vision pipeline to recognize products on shelves and verify compliance to the planned layout. We deploy local invariant features together with a novel formulation of the product recognition problem as a sub-graph isomorphism between the items appearing in the given image and the ideal layout. This allows for auto-localizing the given image within aisles of the store and improves recognition dramatically.



@inproceedings{tonioni2017product, title={Product recognition in store shelves as a sub-graph isomorphism problem}, author={Tonioni, Alessio and Di Stefano, Luigi}, booktitle={International Conference on Image Analysis and Processing}, pages={682--693}, year={2017}, organization={Springer} } ]