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3D Scan Campaign Classification with Representative Training Scan Selection
Point cloud classification has been shown to effectively classify points in 3D scans, and can accelerate manual tasks like the removal of unwanted points from cultural heritage scans. However, a classifier’s performance depends on which classifier and feature set is used, and choosing these is diffi...
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| Format: | Thesis |
| Language: | English |
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Department of Computer Science
2020
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