Benjamin Langmann

Papers

Total Citations

H-Index

About

Benjamin Langmann is a researcher whose work sits at the intersection of computer vision, 3D imaging, and mobile sensing. His primary contributions lie in advancing Time-of-Flight (ToF) camera technology, particularly in making it practical for real-world, mobile applications. His most cited work, "Real-Time Image Stabilization for ToF Cameras on Mobile Platforms" (2013, 6 citations), addresses a critical challenge: the blurring and distortion that occurs when these depth-sensing cameras are used on moving platforms like drones or handheld devices. By developing algorithms for real-time stabilization, Langmann helped bridge the gap between laboratory-grade 3D imaging and robust, field-deployable systems. He also made foundational contributions to wide-area 2D/3D imaging, as detailed in his 2014 publications (each with 5 citations), which explore the development, analysis, and applications of systems that combine traditional color imaging with depth data. While his citation counts reflect a focused, early-career impact, his work on stabilizing ToF cameras is a notable achievement that directly enabled more reliable depth sensing in dynamic environments—a key enabler for robotics, autonomous navigation, and augmented reality.