QO =~ nn 5S 0
ao Uu
ISPRS Commission III, Vol.34, Part 3A Photogrammetric Computer Vision“, Graz, 2002
In summary, for bundle adjustment with self-calibration using
straight lines, the end points (points 1 and 2 in the above
example) can be selected in any of the images where the straight
line appears. These points need not be identifiable or even
visible in other images. Four collinearity equations will be
written using the measured end points for each line. The
intermediate points (point 3 in the above example) can be
measured in any one of the overlapping images. Those
intermediate points need not be conjugate. A constraint is
written for each intermediate point according to Equation 6. A
schematic drawing to clarify the different scenarios for the end
point selection is shown in Figure 3. Figure 3-A shows a case
where the end points of the straight line are selected in one
image (image 1); while in Figure 3-B, they are selected in
different images (images 1 and 4). Intermediate points are
shown in the same figure.
The same approach can be extended to include higher-order
primitives (for example, conic sections). In addition, it is
applicable for line cameras as well. The only difference is that
the platform motion perturbations during the scene capture as
well as the above mentioned distortion sources cause deviation
from straightness in the imagery.
3.2 Optimal configuration
Two types of configurations of straight lines, box-type (Figure
4) and X-type (Figure 5), are used to test the effects of previous
distortion models. The optimum configuration is the one that
will cause more deviations from straightness in the image space.
Figures 4 and 5 illustrate the effects of various distortion
sources for both configurations.
(A) (B) (C)
Figure 4. Distortions in box-type configuration
(A) Radial distortion, (B) Decentric distortion,
(C) Affine deformation.
(A) (B) (C)
Figure 5. Distortions in X-type configuration
(A) Radial distortion, (B) Decentric distortion,
(C) Affine deformation.
By analysing Figures 4 and 5, one can see that the box-type
configuration is more useful since it causes larger deviation
from straightness (compare Figure 4-A and 5-A). Therefore, to
successfully recover the radial distortion parameters (the most
significant distortion component), we need a test field
composed of a grid of straight lines along the rows and columns
of the captured calibration images. We also need some point
targets to derive the camera constant (principal distance). These
targets need not be surveyed with a theodolite or total station.
Only distances between those targets should be measured. An
example of such a test field can be seen in Figure 6.
4. EXPERIMENTAL RESULTS
Conducted experiments using real data are primarily focused on
achieving the following objectives:
e Determine the required distortion parameters to
sufficiently describe the IOP of the involved camera.
e Compare the performance of the suggested approach to the
traditional approach using distinct ground control points.
e Inspect the accuracy of the reconstructed object space
using the derived IOP.
In those experiments, we used a SONY DSC-F707 digital
camera, with a maximum resolution of 2560 x 1920 pixels. A
total of forty-eight images have been acquired in four different
sessions (A-D). Using a shutter speed of 125, images used for
experiment A and B were acquired with an f/number of 3.5.
Then, an f/number of 11 is applied for experiments C and D.
Each session consists of twelve exposures at six different
locations with 90? rotation around the Z-axis at each exposure
station. The camera was switched off/on after each session. We
built a test field based on the optimal configuration discussed
before, Figure 6. The test field is composed of nine straight
lines (black robes on a white background). Also, distances
between five targets (highlighted by black circles) have been
measured (+2.0mm). We developed an automated procedure for
measuring intermediate point coordinates along the lines in the
involved imagery.
Figure 6. New test field
The test field has been augmented to allow for traditional point
based camera calibration. A total of 30 signalised targets are
precisely surveyed using a total station (x0.5mm), Figure 7-A.
In the bundle adjustment with self-calibration, we can consider
the following deformation/distortion parameters:
e Radial distortion parameters K;, Ko.
e Decentric distortion parameters P,, P».
e Affine deformation parameters A;, A».
We carried out several experiments, using both point-based and
line-based self-calibration, to investigate the most appropriate
model that sufficiently describes the internal characteristics of
the camera. Considering K;, Ky, P;, P», A;, A» resulted in high
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