Product Recognition on Store Shelves

The goal of this project is to use computer vision techniques to perform object detection. We want a system able to recognize cereal boxes on store shelves. The task is complex, due to the high number of different possible variation in which the same object can occur into the scene. Our solution combines the SIFT algorithm and the Mean Shift clustering scheme.

For additional information check out the pdf "Report_Computer_Vision".