Personalised 3D navigation and understanding of Geo-referenced Scenes

Author

Doulamis, Nikolaos ; Yiakoumettis, Christos ; Miaoulis, Georgios

Author_Institution

Nat. Tech. Univ. of Athens, Zografou, Greece

fYear

2013

fDate

4-7 June 2013

Firstpage

1

Lastpage

6

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.

Keywords

geographic information systems; navigation; 3D model; 3D virtual geo-referenced worlds; GIS; Google Earth; Google Maps; geo-referenced scenes; geographic information systems; geometric features; personalised 3D navigation; personalized entropy-based measurement; semantic features; Cameras; Complexity theory; Entropy; Estimation; Semantics; Solid modeling; Trajectory; 3D scene exploration; camera speed estimation; knowledge extraction; personalized path planning; scene understanding; virtual tour;

fLanguage

English

Publisher

ieee

Conference_Titel

World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2013 IEEE 14th International Symposium and Workshops on a

Conference_Location

Madrid

Print_ISBN

978-1-4673-5827-9

Type

conf

DOI

10.1109/WoWMoM.2013.6583497

Filename

6583497