Computer Graphics
TU Braunschweig

Physical Parameter Estimation from Images

Abstract

The goal of this project is to develop fast image-based measurement methods for optical properties, which would help to close feedback loops in adaptive manufacturing.

The research on this topic is done in collaboration with the PhoenixD Cluster of Excellence. We work closely with expert researchers from other disciplines under the Task Group F2: Expert Systems for Quality Control.

Publications

Marc-André Dittrich, Bodo Rosenhahn, Marcus Magnor, Berend Denkena, Talash Malek, Marco Munderloh, Marc Kassubeck:
Dreaming Neural Networks for Adaptive Polishing
in Proc. Int. Conf. European Society for Precision Engineering and Nanotechnology (euspen), to appear.


Related Projects

Wave Optics Rendering

Motivated by the great impact on manufacturing costs that automatically re-adjusting machines' parameters in real-time during production could have, in this project, we propose the use of camera-based optical measurements systems to provide machines with real-time measuring feedback.

In such scenario, the application of traditional real-time computer graphics approximations is innappropiate. Their core relies on the famous rendering equation proposed by Kajiya in 1986 which has proven to be sufficient to allow real-time photorealisitc image synthesis in most situations. However, this simplified model of light transportation and surface interaction oversimplifies the role light's wave properties play in complex optical systems, where we need to accurately simulate diffraction effects in real-time. To overcome this challengue, we strive to combine knowledge from real-time constrained image synthesis research with more detailed physically-based light transport models that incorporate wave characteristics.