5.5 New calibration of principal point for each frame
In the third test, a calibration were performed on
frame one. For each of the frames, including frame
one again, an outer orientation with the principal
point as extra unknown were performed. After this, a
3D calculation with the parameters for each frame
were done to be able to compare the result with test
two. The purpose of the test was to find out if it is
necessary to do a new outer orientation for each
frame with the principal point as unknown.
The result shows that the mean deviations from the
known points are sometimes higher than in test 5.4 It
seems however that the including of the principal
point as unknown also lowers the accuracy in some
cases.
Re-computing the principal point [mm]
Frame d 4 F90 91
MD MD MD MD
Pos 1+2 10.7 15.0 10.5 10.8
table 7 Re-computing the principal point
As a comparison, the same test were performed again
but now with fixed principal point. One would expect
this to increase the deviations from the known
points. Instead it actually lowered the numbers. In
some cases very little, while some were lowered
considerably. It seems like the small change in the
principal point is better picked up in a slightly
different outer orientation than in the parameter
itself when the control points are limited.
Keeping the principal point fixed [mm]
Frame 4 FA 90 91
MD MD MD MD
Pos 1+2 6.8 7.0 9.8 75
5.6 Conclusions
The results from the stability test are in some parts
easy to interpret while other are more difficult. It
seems clear that the inner orientation of the camera
is not completely stable. The principal point cannot
be defined properly since the digitizing of the film is
not accurate enough and, at the same time, there are
no fiducial marks in the camera. The principal point
may be computed again for each frame if wanted. It is
however unsure if this improves the result. The
deviations in the principal point is rather small (up
to 10 pixels or 60 um) and it seems that a new outer
orientation with fixed parameters is just as good. The
other parameters, principal distance, radial distortion
and scale factor, seem to be rather stable and should
be possible to use for several sequences.
216
6. REFERENCES
Edgardh, L-À, 1992, Comparison of Precision and
Reliability of Point Coordinates Using DLT and
Bundle Approach, Int Arch of Photogrammetry and
Remote Sensing, vol 9, Comm V.
Haralick, R.M., Lee, C.N., Ottenberg, K., Nóle, M.,
1991, Analysis and Solutions of the Three Point
Perspective Pose Estimation Problem, IEEE
Conference on Computer Vision and Patern
Recognition, pp 592-598
Innovativ Vision, TrackEye, Specification of
Innovativ Vision's Motion Analysis System, Product
information
Kállhammer, J-E., 1990. Digitize Your Film Without
Loosing Resolution. SPIE vo 1358, 19:th International
Congress on High-Speed Photography and Photonics,
pp 631-636.
Larsson, R., 1983, Simultaneous Photogrammetric
and Geodetic Adjustment- Algorithms and Data
Structures, Thesis, Dep. of Photogrammetry, Royal
Institute of Technology, Sweden