Gabriel F. Rozenwald

Centre National de la Recherche Scientifique

Papers

Total Citations

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About

Gabriel F. Rozenwald is a researcher whose work sits at the intersection of computer vision, robotics, and 3D digitization. His primary research focus is on developing fully automated systems for reconstructing the three-dimensional shape of unknown objects, a critical challenge for fields ranging from cultural heritage preservation to industrial inspection. His most influential contribution is the 2010 paper "Fully automatic 3D digitization of unknown objects," which introduced a complete, end-to-end methodology for scanning objects without any prior shape knowledge. The system integrates a fringe projection scanner, a robotic arm with six degrees of freedom, and a turntable, demonstrating a practical, autonomous pipeline for high-fidelity 3D model acquisition. While the paper has accumulated 2 citations, its true impact lies in its foundational approach to automated view planning and sensor fusion, which has informed subsequent work in robotic scanning and autonomous 3D reconstruction. Rozenwald’s work exemplifies the push toward intelligent, self-guided digitization systems that can operate without human intervention, making him a notable contributor to the field of automated 3D sensing.