The Moving Least Squares filter passes data through the Point Cloud Library (PCL) MovingLeastSquares algorithm.

MovingLeastSquares is an implementation of the MLS (Moving Least Squares) algorithm for data smoothing and improved normal estimation described in [Alexa2003]. It also contains methods for upsampling the resulting cloud based on the parametric fit.

Dynamic Plugin

This stage requires a dynamic plugin to operate




None at the moment. Relying on defaults within PCL.