Talks and Poster Presentations (with Proceedings-Entry):
G. Vozikis, H. Kager, P. Waldhäusl:
"Advanced Information Extraction From Non-metric Images Using adaptable Algorithms Embedded In A Hybrid Adjustment";
Poster: International Society for Photogrammetry and Remote Sensing XXth Congress,
- 2004-07-23; in: "Proceedings",
O. Altan (ed.);
Vol XXXV, Part B/5
During the past decades many computer programs have been developed for solving standardized problems in the field of close-range photogrammetry. Most of these software packages are designed for common tasks and hence algorithmically not very flexible. When facing the problem of dealing with very special, individual cases in photogrammetry, programs with very versatile mathematical background and the ability to adopt to very specific situations are needed, e.g. for evaluating a complex traffic accident scene as described in this paper. At a street intersection a car was hit sidewards by a motorcycle. The task was to calculate the deformation angle between the upper and the lower section of the fork of the front wheel as precise as possible where a sharp bend occurred through the crash. This information would be valuable for the technical expert in order to compute the motorcycle's collision speed. Considering that only four of the available non-metric images were useful and that no calibration, control, or interior orientation parameters were available, this task became rather complex and scientific. Unfortunately, the image-configuration was very weak (bad intersection quality of the rays of tie points) and finding of useable homologous points was restricted to few limited small areas in the images. That is also why geometric tying features had to be introduced. Furthermore, to solve and stabilize the block one had to employ advanced tools of photogrammetry: shapes (features) in form of planes as well as second order surfaces were introduced. In addition, some of the unknowns had to be fictitiously observed.
Online library catalogue of the TU Vienna:
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Created from the Publication Database of the Vienna University of Technology.