Robust Shape Fitting and Semantic Enrichment
A robust fitting and reconstruction algorithm has to cope with two major problems. First of all it has to be able to deal with noisy input data and outliers. Furthermore it should be capable of handling multiple data set mixtures. The decreasing exponential approach is robust towards outliers and multiple data set mixtures. It is able to fit a parametric model to a given point cloud. As parametric models use a description which may not only contain a generative shape but information about the inner structure of an object, the presented approach can enrich measured data with an ideal description. This technique offers a wide range of applications.