OctaCoG alignment: a fast and reliable alternative to iterative alignment schemes
For metrology tasks in the context of industrial quality inspection and non-destructive testing, tactile measurements are more and more superseded by imaging techniques, such as optical scanning and Computed Tomography. Data fusion of such very differently acquired data plays a key role in combining...
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| Main Authors: | , , |
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| Format: | Chapter/Article Conference Paper |
| Language: | English |
| Published: |
2016
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| In: |
2016 19th International Conference on Information Fusion (FUSION)
Year: 2016, Pages: 1215-1222 |
| Subjects: | |
| Online Access: | Verlag, Volltext: http://ieeexplore.ieee.org/document/7528023/
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| Author Notes: | Andreas Beyer, Yu Liu, Susanne Krömker |
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| 520 | |a For metrology tasks in the context of industrial quality inspection and non-destructive testing, tactile measurements are more and more superseded by imaging techniques, such as optical scanning and Computed Tomography. Data fusion of such very differently acquired data plays a key role in combining their strengths and mitigating their weaknesses. This requires a highly accurate alignment of the provided data sets. Classical alignment schemes turn out to be prone to error for this task due to differences in resolution and contributing surfaces from these fundamentally different imaging techniques. Our approach reduces such errors for the special case of aligning complete representations of both types of acquisition. | ||
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