Multiview point cloud registration with anisotropic and space-varying localization noise. (arXiv:2201.00708v1 [cs.CV])

In this paper, we address the problem of registering multiple point clouds
corrupted with high anisotropic localization noise. Our approach follows the
widely used framework of Gaussian mixture model (GMM) reconstruction with an
expectation-maximization (EM) algorithm. Existing methods are based on an
implicit assumption of space-invariant isotropic Gaussian noise. However, this
assumption is violated in practice in applications such as single molecule
localization microscopy (SMLM). To address this issue, we propose to introduce
an explicit localization noise model that decouples …

arxiv cloud cv noise space