Painting recognition from wearable cameras

Théophile Dalens, Josef Sivic, Ivan Laptev, Marine Campedel

A Google Glass user La liberté guidant le peuple in Musée du Louvre La liberté guidant le peuple, with captions


Are smart glasses the new high-tech device that will guide you through a museum? In this report, we describe a system that runs "on device" on Google Glass and retrieves the painting you’re looking at among a set of paintings in a database. We perform an experimental comparison of the accuracy and speed of different feature detectors and descriptors on a realistic dataset of paintings from Musée du Louvre. Based on this analysis we design an algorithm for fast and accurate image matching using bags of binary features. We develop an application that runs directly on Google Glass without sending images to external servers for processing and recognizes a query painting in a database of 100 paintings in one second.


Article thumbnail

Painting recognition from wearable cameras

T. Dalens, J. Sivic, I. Laptev, and M. Campedel

Download pdf | bibtex


All the code developed for this project is open-source and can be found


This work was partially funded by the EIT-ICT labs.
The authors would like to thank Jia Li for his contribution to the code.
The picture of the Google Glass user is the property of Antonio Zugaldia.