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Torben Fetzer received his bachelor’s degree in mathematics in 2014 and his master’s degree in industrial mathematics in 2016 from the University of Kaiserslautern.
During his studies, he specialized in image processing and data analysis.
From 2016, he worked as a research assistant in the Augmented Vision goup at DFKI in the area of Nonrigid Structure from Motion.
Since 2017, he has been working in the department as a researcher and PhD student with a focus on 3D reconstruction, auto-calibration and optical flow estimation.
Iterative Color Equalization for Increased Applicability of Structured Light Reconstruction
. International Conference on Computer Vision Theory and Applications (VISAPP-2020) Valletta Malta SCITEPRESS 2020 .
Stable Intrinsic Auto-Calibration from Fundamental Matrices of Devices with Uncorrelated Camera Parameters
. IEEE Winter Conference on Applications of Computer Vision (WACV-2020) Aspen CO United States IEEE 2020 .
Robust Auto-Calibration for Practical Scanning Setups from Epipolar and Trifocal Relations
2019 sixteenth IAPR International Conference on Machine Vision Applications (MVA). IAPR Conference on Machine Vision Applications (MVA-2019) May 27-30 Tokyo Japan IEEE 2019 .
Accurate 3D Reconstruction of Dynamic Scenes from Monocular Image Sequences with Severe Occlusions
IEEE Winter Conference on Applications of Computer Vision (WACV-17), March 27-30, Santa Rosa, CA, USA
Introduction to Coherent Depth Fields for Dense Monocular Surface Recovery
Proceedings of the British Machine Vision Conference British Machine Vision Conference (BMVC-17), London, United Kingdom