Computer Graphics
TU Braunschweig

Physical Parameter Estimation from Images


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 introduction of novel production techniques for integrated optical components demands an increasing amount of quality control and inline feedback. Our focus in this project is the combination of fast optical measurement techniques and physics-based simulations to achieve fast and accurate feedback of physical parameters as close to the machine tool as possible.

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.


Marc Kassubeck, Moritz Kappel, Susana Castillo, Marcus Magnor:
N-SfC: Robust and Fast Shape Estimation from Caustic Images
in Proc. Vision, Modeling and Visualization (VMV), The Eurographics Association, pp. 33-41, September 2023.

Marc Kassubeck, Moritz Kappel, Susana Castillo, Marcus Magnor:
N-SfC: Robust and Fast Shape Estimation from Caustic Images
arXiv preprint, December 2021.

Felix Lehner, Jürgen Roth, Oliver Hupe, Marc Kassubeck, Benedikt Bergmann, Petr Mánek, Marcus Magnor:
Method for fast determination of the angle of ionizing radiation incidence from data measured by a Timepix3 detector
in Journal of Sensors and Sensor Systems, vol. 10, pp. 63-70, March 2021.

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), euspen, pp. 263-266, June 2020.

Related Projects

Accelerating Photo-realistic RT

The goal of this research project is to develop and evaluate new approaches to accelerate photo-realistic ray tracing. Our focus lies on novel acceleration and denoising strategies for fast and memory-efficient photo-realistic rendering. Our research covers various topics from basic research for fast intersection tests to advanced filtering techniques of Monte Carlo simulation-based rendering.

Physics-based Rendering

In this project, novel techniques to measure different light-matter interaction phenomena are developed in order to provide new or verify existing models for rendering physically correct images.

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.