Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05)
Multisensor Fusion for Volumetric Reconstruction of Large Outdoor Areas
Ottawa, Ontario, Canada
June 13-June 16
ISBN: 0-7695-2327-7
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 out-of-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.
Index Terms:
Distance fields, data fusion, 3D Reconstruction, registration, calibration, multi-resolution, out-of-core
Citation:
M. Fiocco, G. Bostr?, J. G. M. Gon?alves, V. Sequeira, "Multisensor Fusion for Volumetric Reconstruction of Large Outdoor Areas," 3dim, pp.47-54, Fifth International Conference on 3-D Digital Imaging and Modeling (3DIM'05), 2005