Please use this identifier to cite or link to this item:
|Title:||Multisensor Fusion for Volumetric Reconstruction of Large Outdoor Areas|
|Authors:||SEQUEIRA VITOR; FIOCCO MARCO; BOSTROEM Gunnar; GONCALVES JOAO|
|Citation:||Proceedings of the 5th International Conference on 3-D Digital Imaging and Modeling (3DIM 2005) p. 1550-6185/5|
|Publisher:||IEEE Computer Society|
|Type:||Articles in periodicals and books|
|Abstract:||This paper presents techniques for the merging of 3D Data coming from different sensors, such as ground and aerial laser range scans. The 3D Models created are reconstructed to give a photo-realistic scene enabling interactive virtual walkthroughs, measurements and scene change analysis. The reconstructed model is based on a weighted integration of all available data based on sensor-specific parameters such as noise level, accuracy, inclination and reflectivity of the target, spatial distribution of points. The geometry is robustly reconstructed with a volumetric approach. Once registered and weighed, all data is re-sampled in a multi-resolution distance field using outof-core techniques. The final mesh is extracted by contouring the iso-surface with a feature preserving dual contouring algorithm. The paper shows results of the above technique applied to Verona (Italy) city centre.|
|JRC Institute:||Institute for the Protection and Security of the Citizen|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.