Adaptive Real-Time Grid Generation from 3D Line Scans for fast Visualization and Data Evaluation

This paper presents a method for the real-time generation of grids from 3D line scan data for in-line scan previews and the evaluation of large point clouds derived from different 3D-scanners. By exploiting the underlying measuring principles, we generate regular grids for each scan operation even if the sensor movement is non-linear. These grids are finally used for NURBS patch approximations, which enable the determination of higher order features, e.g. curvature and quality evaluations. Experimental results at the example of different point clouds illustrate the effectiveness of our methods in practice.