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Title
New perspectives to save cultural heritage
Author
Altan, M. Orhan

CIPA 2003 XIX th International Symposium, 30 September - 04 October, 2003, Antalya, Turkey
• «
Figure 6: Two views of the rectified part of the façade that
contains the 22 corresponding points.
4. CONCLUSIONS
The processing of images of the CIPA reference data set has
demonstrated the capabilities and limitations of the developed
methods for camera calibration, image orientation, and object
reconstruction. Object reconstruction using the same four
images as used for the orientation experiments is presented in
(Hrabacek and Heuvel, 2000). Figure 7 shows a view of the
reconstructed model that is represented in VRML format. All
methods used have the following characteristics in common:
The incorporation of knowledge on the construction of
the building
The use of image line features, manually or
automatically extracted
The use of a limited number of images
Calibration of the camera was performed in a semi-automatic
way with five images of the reference data set. Estimation of
interior orientation parameters from single images showed that
two zoom settings were present in the set of selected images.
The quality of the results of single image camera calibration
depends greatly on the image characteristics. For a full and
accurate camera calibration, several images with different
orientation relative the building are needed. Correspondence
between the images is not required.
The method for image orientation aims at automation. Tests with
images from the CIPA data set show that correct relative
orientation can be obtained, but as in the method for automated
camera calibration, the chance of success greatly depends on the
image configuration and characteristics. Especially the repeating
structures (windows) in the façades lead to an ambiguous
problem. Between two and three manually measured
corresponding points were needed to obtain a correct and
reliable solution, and at the same time allowed to determine the
relative scale of consecutive models. The paper shows that
automatic relative orientation of two images is possible.
However, success depends on the settings of a few parameters.
A partial object model results as a by-product of the methods for
image orientation.
Figure 7: Reconstructed model, partially texture-mapped.
REFERENCES
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