research home


This site briefly gives an overview on current programming projects in the areas of 3D scan data processing and its evaluation. Another section regards 2D image analyses.
3D point cloud evaluation
Surface reconstruction is increasingly important in geometric modeling to generate surfaces from data points captured from real objects, often by optical 3D scanners. Industrial applications include reverse engineering, quality assurance, metrology and product design.

point cloud triangle mesh shaded surface Gaussian curvature
3D scan data processing
Duplicating unique works of art, archaeological findings or work pieces for the industrial mass production are usually applications for 3D scanners. A manual scanning procedure can be time-consuming, especially for large or complex objects with many small and important surface features. To assure that all areas of the object are captured within a partial scan, a fast preview method is desirable, which assists the user to control and evaluate the scanning process and the results.

This section introduces a new approach for the fast visualization and evaluation of large point clouds derived from different structured light 3D scanners. By using information derived from the underlying measuring principle, regular quadrilateral grids are nearly computed in real-time. These grids are additionally used for partial NURBS approximations. Based on the derived parameterized surfaces, higher order properties are computed (e.g., surface curvatures).

duck Santa Clause pepper converter
IR motion tracking
Motion tracking of humans is supported by using IR camera devices, which provide an additional image dimension, the warmth, to detect interactions.