Research Group High-speed 3D sensors in extended spectral ranges


The fast, accurate and contactless three-dimensional detection of moving objects and scenes is an elementary task in countless areas of application. A typical representative of optical 3D measurement methods is the pattern projection. Here, a pattern sequence is projected onto the diffusely reflecting measuring object and observed with one or more cameras. The structured illumination enables the detection of corresponding image points and the subsequent reconstruction of object points by means of triangulation.
Conventionally, light is used in the visible spectral range for the illumination, so that mirroring or deep black surfaces and transparent or translucent materials are presently a big challenge for pattern projection technology. In order to detect also such objects in a comfortable three-dimensional manner, it appears to be useful to exploit, in addition to the diffuse reflection, further interaction mechanisms of the light with the object surface, for example the absorption and resulting local heating, by transferring into wavelength ranges in which the objects have deviating properties.
To reach these spectral regions, completely new wavelength-independent high-speed projection techniques have to be developed and new interaction mechanisms have to be investigated. In this way, the new research group "High-speed 3D sensors in extended spectral ranges" aims to find a solution for the problem of the detectability of uncooperative objects that hasnĀ“t been solved for more than 20 years in 3D sensor technology.

This Junior Research Group "Hochdynamische 3D-Sensorik in erweiterten Spektralbereichen", funded by the German Federal Ministry of Education and Research (BMBF), is part of the innovation alliance "3Dsensation" ( >> link ). "3Dsensation" is a  consortium consisting of industry partners and research institutions from different branches of science. This consortium fosters interdisciplinary research and development work with the aim to tackle central technical, sociological and ethical challenges of man-machine interaction.