Papers
1
Total Citations
12
H-Index
1
About
Patrick Dietrich is a leading researcher in optical 3D measurement and real-time sensor systems, with a primary focus on active stereo vision and pattern projection techniques. His most notable contribution is the development of the BICOS algorithm (2019), a breakthrough in fast real-time correspondence search for statistical pattern projection-based active stereo sensors. This work directly addresses the critical challenge of enabling high-speed, accurate 3D shape reconstruction for robot-operated automation tasks, where contactless and non-destructive measurements are essential. By advancing the speed and reliability of correspondence matching, Dietrich’s research bridges the gap between laboratory-grade 3D scanning and practical industrial deployment. His work has garnered significant attention, with his key paper accumulating 12 citations, reflecting its growing influence in the fields of computer vision, robotics, and optical metrology. Through his contributions, Dietrich has established himself as a key innovator in making real-time 3D sensing both feasible and robust for demanding automation environments.
Research Focus
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Top Papers
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