Abstract
Abstract. This paper deals with the correction of exterior orientation parameters of stereo image sequences over deformed free-form surfaces without control points. Such imaging situation can occur, for example, during photogrammetric car crash test recordings where onboard high-speed stereo cameras are used to measure 3D surfaces. As a result of such measurements 3D point clouds of deformed surfaces are generated for a complete stereo sequence. The first objective of this research focusses on the development and investigation of methods for the detection of corresponding spatial and temporal tie points within the stereo image sequences (by stereo image matching and 3D point tracking) that are robust enough for a reliable handling of occlusions and other disturbances that may occur. The second objective of this research is the analysis of object deformations in order to detect stable areas (congruence analysis). For this purpose a RANSAC-based method for congruence analysis has been developed. This process is based on the sequential transformation of randomly selected point groups from one epoch to another by using a 3D similarity transformation. The paper gives a detailed description of the congruence analysis. The approach has been tested successfully on synthetic and real image data.
Highlights
This research is allocated to a special problem in car safety testing
Real crash tests and numerical crash simulations are used to investigate the behaviour of a car during heavy impacts of mechanical forces in order to evaluate the potential of injuries for involved persons and to develop efficient approaches to maximize safety
The results of photogrammetric measurements are subsequently used for the verification and validation of finite-element simulations (FE) which are developed for every car type
Summary
This research is allocated to a special problem in car safety testing. Real crash tests and numerical crash simulations are used to investigate the behaviour of a car during heavy impacts of mechanical forces in order to evaluate the potential of injuries for involved persons (e.g. driver, pedestrians) and to develop efficient approaches to maximize safety. The results of photogrammetric measurements are subsequently used for the verification and validation of finite-element simulations (FE) which are developed for every car type These numerical models are successively improved by data from real experiments (Raguse et al, 2004). With respect to photogrammetric aspects and under consideration of the above described problem of data fusion, the following technical problems can be identified (Figure 1): The relative orientation of cameras (in system XM, YM, ZM) will change from epoch to epoch (i.e. with each frame).
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