Wolfgang Rauh

Fraunhofer Institute for Manufacturing Engineering and Automation

Papers

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About

Wolfgang Rauh is a pioneer in optical 3D measurement and robot vision, with his work forming the bedrock of modern spatial perception systems. His research centers on solving the fundamental "correspondence problem"—the challenge of accurately matching image points across multiple views—and on robust geometric fitting for machine vision. Rauh’s most influential contribution is the development of circular coded landmarks for optical 3D measurement, a solution that ensures error-free correspondence and high measurement accuracy, as detailed in his 2003 paper (33 citations). He further advanced the field with a robust algorithm for ellipse fitting of circular targets (1999, 22 citations), enabling precise geometric feature extraction from noisy data. His later work on automatic segmentation and model identification in unordered 3D point clouds (2002) introduced an efficient interactive procedure combining segmentation, outlier detection, and model fitting. With a citation impact that underscores his practical influence, Rauh’s innovations have directly shaped the development of reliable, accurate optical measurement systems used in robotics, industrial inspection, and 3D scanning. His legacy lies in transforming tedious manual correspondence tasks into automated, robust processes.