Screen shots The following images show visualizations of LiDAR data generated with our software. Click each image for a higher resolution version in PNG format.
LiDAR scan of the UC Davis water tower and
the Mondavi Center for the Performing Arts.
LiDAR scan of Mondavi Center visualized at a quality level of 1.5.
LiDAR scan of Mondavi Center visualized at a quality level of 0.5.
LiDAR scan of Mondavi Center visualized at a quality level of -0.5.
LiDAR scan of Mondavi Center visualized at a quality level of -1.5.
Using the 3D paint brush to select a subset of points for feature extraction. The brush is a sphere attached to a (tracked) input device, and selects all points inside the sphere whenever the associated input device button is pressed. Selected points are drawn in green.
Here the user selected a set of points defining the front wall of the UC Davis Mondavi Center.
Once the desired points are selected, the program is told to calculate the equation of the best-fit plane to the selected set. The plane equations can later be used to calculate other desired quantities.
Extracting multiple planes allows a user to calculate the equation of intersection lines or the positions of intersection points at very high accuracies. For example, if each point in a LiDAR scan has an error interval of +-2mm, then the plane equation best fitting 10,000 points expected to lie in a plane can have an error interval as low as 20 micrometer (assuming that the error is normally distributed).