Benjamin Loriot
Papers
1
Total Citations
2
H-Index
1
About
Benjamin Loriot is a researcher whose work lies at the intersection of 3D acquisition, robotics, and computational geometry. His most cited paper, "A simulation of automatic 3D acquisition and post-processing pipeline" (2009, 2 citations), introduces a novel methodology for automating the 3D scanning process. By simulating a LASER triangulation scanner mounted on a 6-degree-of-freedom robotic arm, Loriot addresses the critical challenge of optimal viewpoint planning. His approach formulates the problem as a set covering problem, significantly reducing the number of scans needed for complete object coverage. This work has implications for industrial inspection, reverse engineering, and cultural heritage digitization, where efficient and accurate 3D capture is essential. Though his citation count is modest, Loriot's contribution is notable for its practical integration of robotics and computational geometry, offering a foundation for more autonomous and intelligent 3D acquisition systems. His research continues to influence the development of automated scanning pipelines, making him a valuable figure in the field of 3D computer vision and robotics.
Research Focus
Key Achievements
Top Papers
- 1A simulation of automatic 3D acquisition and post-processing pipeline2 citations · 2009