System and method for field calibrating video and lidar subsystems using facial features
A system uses range and Doppler velocity measurements from a lidar subsystem and images from a video subsystem to estimate a six degree-of-freedom trajectory of a target. The video subsystem and the lidar subsystem may be aligned with one another by mapping the measurements of various facial features obtained by each of the subsystems to one another.
1. A system for calibrating a lidar subsystem and video system, the system comprising:
a lidar subsystem configured to direct one or more beams toward a face of a target, wherein the one or more beams and to generate three-dimensional measurements for each of a plurality of points on the face;
a video subsystem configured to generate at least one image of the face; and
a processor configured to:
determine a 3D symmetry plane for the face from the three-dimensional measurements,
determine locations of symmetrical facial features of the face from the at least one image,
determine a horizontal offset between the lidar subsystem and the video subsystem by comparing the 3D symmetry plane with the locations of the symmetrical features of the face,
determine a 3D lip line for the face from the three-dimensional measurements,
determine a 2D lip line for the face from the at least one image,
determine a vertical offset between the lidar subsystem and the video subsystem by comparing the 3D lip line with the 2D lip line, and
determine one or more calibration adjustments for the lidar subsystem or the video subsystem from the horizontal offset and the vertical offset.
2. The system of claim 1 , wherein the horizontal offset and the vertical offset are determined at a plurality of scanning positions.
3. The system of claim 1 , wherein the horizontal offset and the vertical offset are determined at a plurality of ranges.
4. The system of claim 1 , wherein the processor is further configured to:
adjust one or more transformation parameters that transform a coordinate system of the three-dimensional measurements to a coordinate system of the video image based on the one or more calibration adjustments.
5. The system of claim 1 , wherein the symmetrical facial features comprises eyes or nostrils.
6. A method for calibrating a lidar subsystem with a video subsystem, the system comprising:
receiving three-dimensional measurements from the lidar subsystem for each of a plurality of points on a face of a target;
receiving at least one image of the face from the video subsystem;
determining a 3D symmetry plane for the face from the three-dimensional measurements;
determining locations of symmetrical facial features of the face from the at least one image;
determining a horizontal offset between the lidar subsystem and the video subsystem by comparing the 3D symmetry plane with the locations of the symmetrical features of the face;
determining a 3D lip line for the face from the three-dimensional measurements;
determining a 2D lip line for the face from the at least one image;
determining a vertical offset between the lidar subsystem and the video subsystem by comparing the 3D lip line with the 2D lip line; and
determining one or more calibration adjustments for the lidar subsystem or the video subsystem from the horizontal offset and the vertical offset.
7. The method of claim 6 , wherein the horizontal offset and the vertical offset are determined at a plurality of scanning positions.
8. The method of claim 6 , wherein the horizontal offset and the vertical offset are determined at a plurality of ranges.
9. The method of claim 6 , further comprising:
adjusting one or more transformation parameters that transform a coordinate system of the three-dimensional measurements to a coordinate system of the video image based on the one or more calibration adjustments.
10. The method of claim 6 , wherein the symmetrical facial features comprises eyes or nostrils.