Camera calibration using an easily produced 3D calibration pattern
A system for computing one or more calibration parameters of a camera is disclosed. The system includes a processor and a memory. The processor is configured to provide a first object either marked with or displaying three or more fiducial points. The fiducial points have known 3D positions in a first object reference frame. The processor is further configured to provide a second object either marked with or displaying three or more fiducial points. The fiducial points had known 3D positions in a second object reference frame. The processor is further configured to place the first object and the second object in a fixed position such that the fiducial point positions of the first and second objects are non-planar. The processor is further configured to compute one or more calibration parameters of the second camera using computations based on images taken of the fiducials.
1. A system for computing one or more calibration parameters of a camera, comprising:
a processor configured to:
display a first object including first parallel features;
shift the first object in a direction transverse to said first parallel features;
display a second object after displaying the first object, the second object including second parallel features, such that said first and second features, if they were overlapped, define fiducial points where they would intersect;
shift the second object in a direction transverse to said second parallel features;
receive one or more first camera images from a first camera viewing the first object and the second object;
locate a first set of projections of the first parallel features first object fiducial points and the second parallel features in each of the one or more first camera images;
compute a set of 3D positions in a common frame of reference of the first and second features based at least in part on the first set of projections;
receive one or more second camera images from a second camera viewing the first object and the second object;
locate a second set of projections in each of the one or more second camera images; and
compute one or more calibration parameters of the second camera using at least in part the second set of projections and the set of 3D positions of the fiducials in the common reference frame; and
a memory coupled to the processor and configured to provide the processor with instructions.
2. A system as in claim 1 , wherein the first object and the second object are planar.
3. A system as in claim 1 , wherein the first object and the second object are computer display screens.
4. A system as in claim 1 , wherein the first object and the second object are planar and form an angle between 30 and 150 degrees.
5. A system as in claim 1 , wherein one of the three or more first object fiducial points or one of the three or more second object fiducial points is established from a point pattern.
6. A system as in claim 1 , wherein one of the three or more first object fiducial points or one of the three or more second object fiducial points is established from a cross pattern.
7. A system as in claim 1 , wherein one of the three or more first object fiducial points or one of the three or more second object fiducial points is established from a disc pattern.
8. A system as in claim 1 , wherein one of the three or more first object fiducial points or one of the three or more second object fiducial points is established from an intersection pattern.
9. A method for computing one or more calibration parameters of a camera, comprising:
displaying a first object including first parallel features;
shifting the first object in a direction transverse to said first parallel features;
displaying a second object after displaying the first object, the second object including second parallel features, such that said first and second features, if they were displayed at the same time, define fiducial points where they would intersect if they were displayed at the same time;
shifting the second object in a direction transverse to said second parallel features;
receiving one or more first camera images from a first camera viewing the first object and the second object;
locating a first set of projections of the first parallel features first object fiducial points and the second parallel features in each of the one or more first camera images;
computing a set of 3D positions in a common reference frame of the first and second features based at least in part on the first set of projections;
receiving one or more second camera images from a second camera viewing the first object and the second object;
locating a second set of projections in each of the one or more second camera images; and
computing one or more calibration parameters of the second camera using at least in part the second set of projections and the set of 3D positions of the fiducials in the common reference frame.
10. A method as in claim 9 , wherein the first object and the second object are planar.
11. A method as in claim 9 , wherein the first object and the second object are computer display screens.
12. A method as in claim 9 , wherein the first object and the second object are planar and form an angle between 30 and 150 degrees.
13. A method as in claim 9 , wherein one of the three or more first object fiducial points or one of the three or more second object fiducial points comprises a point.
14. A method as in claim 9 , wherein one of the three or more first object fiducial points or one of the three or more second object fiducial points comprises a cross.
15. A method as in claim 9 , wherein one of the three or more first object fiducial points or one of the three or more second object fiducial points comprises a disc.
16. A method as in claim 9 , wherein one of the three or more first object fiducial points or one of the three or more second object fiducial points comprises an intersection.
17. A non-transitory computer program product for one or more camera calibration parameters, the computer program product being embodied in a computer readable storage medium and comprising computer instructions for:
displaying a first object including first parallel features;
shifting the first object in a direction transverse to said first parallel features;
displaying a second object after displaying the first object, the second object including second parallel features, such that said first and second features, if they were displayed at the same time, define fiducial points where they would intersect if they were displayed at the same time;
shifting the second object in a direction transverse to said second parallel features;
receiving one or more first camera images from a first camera viewing the first object and the second object;
locating a first set of projections of the first parallel features first object fiducial points and the second parallel features in each of the one or more first camera images;
computing 3D positions, in a common reference frame, of the first and second features based at least in part on the first set of projections;
receiving one or more second camera images from a second camera viewing the first object and the second object;
locating a second set of projections in each of the one or more second camera images; and
computing one or more calibration parameters of the second camera using at least in part the second set of projections and the set of 3D positions of the fiducials in the common reference frame.