Validation Methods for Geometric Camera Calibration

March 25, 2020
April 24, 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.

Author: Paul Romanczyk, Senior Imaging Scientist
Presented at Electronic Imaging 2020


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