Abstract
The tomography data acquisition system as described in (Merkel et al., chapter 4) delivers sequences of voxel datasets as shown in Figure 1. In contrast to the marking with discrete tracers as described in the 3-D PTV chapter of this book, the visualization of the flow can be considered a continuous visualization here. Thus the determination of velocity fields in these datasets cannot be based on the tracking of discrete tracers; instead, volume- or feature-based approaches have to be applied.
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© 1996 Springer Science+Business Media Dordrecht
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Maas, HG. (1996). Adaptive Least-Squares-Matching for Accurate Tracking of Patterns in Voxel Data Sequences. In: Dracos, T. (eds) Three-Dimensional Velocity and Vorticity Measuring and Image Analysis Techniques. ERCOFTAC Series, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8727-3_13
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DOI: https://doi.org/10.1007/978-94-015-8727-3_13
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