On Minimizing the Probability of Large Errors in Robust Point Cloud Registration
In solving a model fitting problem, the existence of outliers in the set of measurements can have a devastating effect on the solution accuracy. Traditionally, in order to overcome this problem, robust point cloud registration algorithms are composed of transformation hypothesis generation, followed...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Open Journal of Signal Processing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10345750/ |