Christoph Bodensteiner

Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, University of Lübeck

Papers

Total Citations

H-Index

About

Christoph Bodensteiner is a researcher whose work bridges computer vision, robotics, and medical imaging, with a particular focus on depth sensing and X-ray imaging technologies. His most cited work, "Low-cost commodity depth sensor comparison and accuracy analysis" (2014, 35 citations), provides a critical evaluation of affordable depth sensors like the Kinect V2, advancing their application in untextured environments for robotics and vision systems. In the medical domain, Bodensteiner developed a "Closed-form inverse kinematic solution for fluoroscopic C-arms" (2007, 14 citations), offering an elegant mathematical solution for precise joint parameter determination in surgical imaging. He further contributed to "Achieving super‐resolution X‐ray imaging with mobile C‐arm devices" (2009, 6 citations), enhancing image quality through computational methods. His work also extends to aerial imagery, evaluating location recognition approaches for large-scale UAV data (2014, 2 citations). Bodensteiner’s research demonstrates a unique ability to apply rigorous mathematical and computational techniques across diverse fields—from low-cost consumer sensors to high-precision medical devices—making significant contributions to both practical engineering and theoretical foundations in imaging and robotics.