DocumentCode :
2322360
Title :
3D city model for mobile phone using MMS data
Author :
Zhu, Lingli ; Hyyppä, Juha ; Kukko, Antero ; Jaakkola, Anttoni ; Lehtomäki, Matti ; Kaartinen, Harri ; Chen, Yuwei ; Pei, Ling ; Yuwei Chen ; Hyyppä, Hannu ; Rönnholm, Petri ; Haggren, Henrik
Author_Institution :
Finnish Geodetic Inst., Masala
fYear :
2009
fDate :
20-22 May 2009
Firstpage :
1
Lastpage :
6
Abstract :
Recently, research towards using 3D city models for personal navigation has been rapidly increasing. In this paper, an approach for 3D city model reconstruction for the application of mobile phone-based navigation is presented, which is based on data collected from vehicle-based mobile mapping system (MMS). Our method is performed based on three objectives: small model size, perfect accuracy control as well as good visual effect. Small model size is achieved by simplified object geometry and reduced texture resolution. Model accuracy is controlled by extracting building outlines from classified point cloud and overlapping with final 3D model. Model completeness is checked by comparing resulting model with original images. Good visual effect is realized by applying photo-realistic texture. Photorealistic texture provides rich information for the reconstructed 3D scene. By applying this approach, in test area, 3D city model is successfully reconstructed.
Keywords :
Global Positioning System; data acquisition; mobile satellite communication; remote sensing; terrain mapping; 3D city model reconstruction; 3D scene reconstruction; GPS; Global Positioning System; MMS data; building outline extraction; data acquisition; data classification; data filtering; data georeferencing; image comparison; mobile mapping system; mobile phone-based navigation; overlapping; personal navigation; photo-realistic texture; point cloud classification; texture mapping; texture resolution; Cities and towns; Clouds; Data mining; Geometry; Image reconstruction; Mobile handsets; Navigation; Size control; Solid modeling; Visual effects;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Urban Remote Sensing Event, 2009 Joint
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3460-2
Electronic_ISBN :
978-1-4244-3461-9
Type :
conf
DOI :
10.1109/URS.2009.5137691
Filename :
5137691
Link To Document :
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