Camera-based advanced driver-assistance systems (ADAS) require the mapping from image coordinates into world coordinates to be known. The process of computing that mapping is geometric calibration. This paper provides a series of tests that may be used to assess the goodness of the
geometric calibration and compare model forms:1. Image Coordinate System Test: Validation that different teams are using the same image coordinates.2. Reprojection Test: Validation of a camera’s calibration by forward projecting targets through the model onto the
image plane.3. Projection Test: Validation of a camera’s calibration by inverse projecting points through the model out into the world.4. Triangulation Test: Validation of a multi-camera system’s ability to locate a point in 3D.The potential configurations
for these tests are driven by automotive use cases. These tests enable comparison and tuning of different calibration models for an as-built camera.
Journal Title : Electronic Imaging
Publisher Name : Society for Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151 USA
Paul Romanczyk, "Validation methods for geometric camera calibration" in Proc. IS&T Int’l. Symp. on Electronic Imaging: Autonomous Vehicles and Machines,2020,pp 150-1 - 150-6, https://doi.org/10.2352/ISSN.2470-1173.2020.16.AVM-150
Validation methods for geometric camera calibration
RomanczykPaul
26012020
2020
16
150-1
150-6
2020
Camera-based advanced driver-assistance systems (ADAS) require the mapping from image coordinates into world coordinates to be known. The process of computing that mapping is geometric calibration. This paper provides a series of tests that may be used to assess the goodness of the
geometric calibration and compare model forms:1. Image Coordinate System Test: Validation that different teams are using the same image coordinates.2. Reprojection Test: Validation of a camera’s calibration by forward projecting targets through the model onto the
image plane.3. Projection Test: Validation of a camera’s calibration by inverse projecting points through the model out into the world.4. Triangulation Test: Validation of a multi-camera system’s ability to locate a point in 3D.The potential configurations
for these tests are driven by automotive use cases. These tests enable comparison and tuning of different calibration models for an as-built camera.