3D Imaging
VSLAM Technology – Visual Simultaneous Localization and Mapping
Monocular VSLAM software with sparse 3D output map
- Jointly reconstructing a 3D map of the environment and identifying the camera path within that map, relying on visual (camera) information
- Outputs:
-Visualization of a 3D map as a point cloud and 6 DoF camera trajectory in a graphical environment
-A file that contains the camera relative 3-axis translation and relative pose in unit quaternion representation
Typical applications:
- Autonomous navigation
- Large-scale area reconstruction (cities, archaeological sites etc.)
- Robotic mapping
3D point-cloud reconstruction using μ-precision accuracy
- Synthesizing the data in a 3D geometry using an optical camera system and projected light patterns for surface quality inspection
- Fully automatic point cloud generation with no user interaction
- Reconstruction of different poses in ~5secs
- The final 3D point cloud is generated by an iterative error minimization procedure between all single view reconstructions
- Point spacing in the order of
- 70um for 1 pose captured at ~25cm
- <30um, for a PCL merging of >4 different poses
Typical applications:
- 3D modeling of small and medium scale objects (< 1sq. m)
- Additive Manufacturing
- Quality Inspection
