Papers
1
Total Citations
12
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About
Martin Landmann is a researcher specializing in real-time 3D computer vision, optical metrology, and active stereo sensor systems. His work focuses on advancing pattern projection-based 3D measurement technologies, which are essential for contactless, non-destructive shape acquisition in industrial automation and robotics. Landmann’s major contribution is the development of BICOS—a fast, real-time correspondence search algorithm for statistical pattern projection-based active stereo sensors. This algorithm enables high-speed, accurate 3D reconstruction, addressing critical challenges in robot-operated automation tasks that demand real-time performance. His most-cited paper, “BICOS—An Algorithm for Fast Real-Time Correspondence Search for Statistical Pattern Projection-Based Active Stereo Sensors” (2019), has garnered 12 citations, reflecting its growing relevance in the field. Landmann’s work bridges the gap between theoretical optical methods and practical, high-speed applications, making him a notable contributor to the advancement of 3D sensing technologies for automated systems.
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