Density Adaptive Point Set Registration

@article{Lawin2018DensityAP,
  title={Density Adaptive Point Set Registration},
  author={Felix J{\"a}remo Lawin and Martin Danelljan and F. Khan and P. Forss{\'e}n and M. Felsberg},
  journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2018},
  pages={3829-3837}
}
Probabilistic methods for point set registration have demonstrated competitive results in recent years. These techniques estimate a probability distribution model of the point clouds. While such a representation has shown promise, it is highly sensitive to variations in the density of 3D points. This fundamental problem is primarily caused by changes in the sensor location across point sets. We revisit the foundations of the probabilistic registration paradigm. Contrary to previous works, we… Expand
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