Personalised 3D navigation and understanding of Geo-referenced Scenes

Abstract

Google Maps and Google Earth were milestones in the evolution of Geographic Information Systems (GIS). A new era of 3D virtual geo-referenced worlds began. The need of exploration and creation personalized virtual tours is imperative. This work implements a best viewing algorithm for presenting a 3D model by considering both semantic and geometric features of the 3D model. The camera trajectory is estimated by respecting the user’s preferences using a personalized entropy-based measurement. Moreover, the camera speed is adjusted properly based on the complexity of the projected view of the model.

Publication
2013 IEEE 14th International Symposium on “A World of Wireless, Mobile and Multimedia Networks”
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