Discovering salient regions on 3D photo-textured maps: Crowdsourcing interaction data from multitouch smartphones and tablets

•We model human interest on 3D models using multi-touch interactions from tablets.•We create a crowdsourcing system to gather interaction data from thousands of users.•We propose using the view frustum and a Hidden Markov model for calculating saliency.•We present results comparing the proposed interest model to traditional visual saliency.•We report results demonstrating the proposed techniques on over 500,000 interactions.