Gerhard Reitmayr

Graz University of Technology, Qualcomm (United Kingdom)

Papers

Total Citations

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About

Gerhard Reitmayr is a leading researcher in computer vision and augmented reality, with a focus on 3D reconstruction, sensor calibration, and real-time scene understanding. His work bridges the gap between low-cost hardware and high-precision spatial computing, enabling practical applications in robotics, industrial automation, and mixed reality. A key contribution is his research on calibrating setups that combine single-point laser range finders (LRFs) with cameras, as detailed in his 2013 paper (10 citations). This work demonstrated how inexpensive, compact LRF devices can provide accurate depth information for image pixels, making 3D sensing more accessible for cost-sensitive applications. More recently, Reitmayr has advanced real-time object retrieval and alignment with his 2024 paper "FastCAD" (6 citations), which introduces methods for rapidly matching CAD models to 3D scans and video streams. This innovation supports efficient digital twinning and augmented reality overlays in dynamic environments. His contributions have been instrumental in democratizing 3D sensing technologies, with his work cited in fields ranging from autonomous navigation to interactive design. Reitmayr continues to push boundaries in real-time spatial computing, making him a notable figure for students and researchers exploring affordable, high-performance vision systems.