Movies

The following movies show the LiDAR visualization and analysis software used in the UC Davis KeckCAVES VR environment. All movies were captured with a tripod-mounted or hand-held video camcorder and show the 3D data displayed in the CAVE from the camcorder's point of view. Stereo projection was disabled to minimize flickering in the movies, and the person in the CAVE did not see the 3D models from the correct point of view. Click each still image to download the full movie in MPEG-1 format.

	(MPEG-1, 61MB) Movie showing basic navigation and LiDAR data analysis. First, the user visually explores a LiDAR scan of the UC Davis Mondavi Center for Performing Arts. Then the user measures a small feature (an air duct), and fits a cylinder to that feature by interactively selecting points on its surface. Next, the user assesses the quality of a LiDAR scan of a geothermal pipe by looking for misalignments between individual LiDAR scans. The user then fits cylinders to both parts of the mismatch to measure its exact extent. Finally, the user visually explores an airborne LiDAR scan of a region south of Sacramento, and evaluates an accidental levee breach by extracting a ground plane and visualizing the elevation of data above that plane.
	New video showing a large (830 million points) aerial LiDAR scan of the city of San Francisco and environs, with overlaid 0.3m resolution aerial photography. This particular video uses real-time illumination from a fixed light source (azimuth 210°, elevation 45°) to approximate the baked-in illumination of the photography, and the preview splat renderer from the upcoming LiDAR Viewer 3.0 release.
	LiDAR Viewer running on the Oculus Rift commodity head-mounted display, using a variety of control schemes to move through and analyze the 3D point cloud. Source data is a medium-sized (400 million points) helicopter-based aerial LiDAR scan of a levee north of Sacramento, CA, colored directly by a co-registered RGB video camera.