This work introduces a novel information visualization technique for mobile devices through Augmented Reality (AR). A painting boundary detector and a features extraction modules have been implemented to compute paintings signatures. The computed signatures are matched using a linear weighted combination of the extracted features. The detected boundaries and the features are exploited to compute the homography transformations. The homography transformations are used to introduce a novel user interaction technique for AR. Three different user interfaces have been evaluated using standard usability methods.
Martinel, N.; Vernier, M.; Micheloni, C. and Piciarelli, C., Image Processing Supports HCI in Museum Application. In International Conference on Computer Vision Theory and Applications, Barcelona Spain 2012.