R. Plankers

École Polytechnique Fédérale de Lausanne

Papers

Total Citations

274

H-Index

About

R. Plankers is a leading researcher in computer vision and graphics, specializing in the 3D reconstruction and motion capture of articulated, deformable objects—most notably the human body. Their major contribution is the development of a pioneering framework that integrates implicit surface modeling with articulated robotics approaches, enabling robust shape and motion recovery from multi-view video. This work, detailed in two highly influential papers—"Articulated soft objects for multiview shape and motion capture" (156 citations) and "Articulated soft objects for video-based body modeling" (118 citations)—provided a critical foundation for markerless motion capture and human body modeling. By representing soft, deformable structures with articulated skeletons, Plankers solved a key challenge in tracking complex, non-rigid motion. Their combined citation count of over 270 reflects the lasting impact of this research on fields like animation, biomechanics, and virtual reality. Plankers’ innovative fusion of implicit surfaces and robotics remains a cornerstone technique for researchers working on dynamic 3D human reconstruction.