Personalised 3D navigation and understanding of Geo-referenced Scenes

Nikolaos Doulamis, Christos Υiakoumettis, George Miaoulis
June, 2013
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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.

Type
Conference Paper
Publication
2013 IEEE 14th International Symposium on “A World of Wireless, Mobile and Multimedia Networks”
Personalized Path Planning 3D Scene Exploration Virtual Tour Scene Understanding Knowledge Extraction Camera Speed Estimation
Christos Υiakoumettis
Christos Υiakoumettis
Academic Scholarship Researcher

My research interests include Artificial Neural Networks, Genetic Algorithms and Decision Support Systems focusing on GIS platforms and Virtual Tours.