Reconstructing surfaces
from LIDAR data
FarField Technology's
Silver lining™ imports Cyra LIDAR scans and automatically reconstructs smooth continuous surfaces.
LIDAR data is often noisy,
irregular, incomplete and redundant, due to:
- limited range
resolution
- misregistration between scans
taken at different scanner positions
- restricted physical viewing
angles for the scanner
- increased susceptibility to
occlusion
- over-lapping scans
The nominal accuracy for a LIDAR scan is 0.006m, but this excludes scan registration errors and other sources of error. Focusing errors, calibration and surface roughness, as well as movement in the field of view, can lead to additional errors.
 |
|
Example of a LIDAR reconstruction of a gate using SilverLining's error-bar fitter.* |
|
SilverLining's unique error-bar fitter fits the smoothest surface within tolerances (error bounds) specified at each data point.
|
Gate scan
- 1,665,500 data points
- 283,200 RBF centers
- Height 15m
- Fit tolerance (error bar) 0.005m
- Isosurface resolution 0.05m
Buddha statue
- 725,250 data points
- 96,259 RBF centers
- Height 11m
- Fit tolerance (error bar) 0.005m
- Isosurface resolution 0.01m
|
11m Buddha reconstructed from LIDAR data with FarField Technology's Silver lining™ plug-in*
|
| *Lidar data courtesy of Cyra Technologies |
