Michel Schmitt
Fondation Sophia Antipolis, Centre Inria d'Université Côte d'Azur
Papers
2
Total Citations
15
H-Index
2
About
Michel Schmitt is a pioneering researcher in computational geometry and 3D vision, best known for his foundational work on applying the Delaunay triangulation to stereo data representation. His most cited paper, "How the Delaunay Triangulation Can Be Used for Representing Stereo Data" (2005, 12 citations), introduced a coherent method for interpolating 3D point clouds obtained from stereo vision into polyhedral surfaces. This work established critical theoretical properties about surface approximation as sampling rates increase, bridging the gap between computational geometry and practical 3D reconstruction. Schmitt also contributed early to the field of autonomous robotics with "3D-vision-based robot navigation: First steps" (1990, 3 citations), which laid groundwork for integrating stereo vision into robotic navigation systems. His research has been instrumental in advancing techniques for representing and manipulating 3D spatial data, with applications spanning computer vision, robotics, and geometric modeling. Though his citation counts are modest, Schmitt's work on Delaunay-based surface reconstruction remains a reference point for researchers exploring efficient 3D data interpolation methods.
Research Focus
Key Achievements
Top Papers
- 1How the Delaunay Triangulation Can Be used For Representing Stereo Data12 citations · 2005
- 23D-vision-based robot navigation: First steps3 citations · 1990