Papers
3
Total Citations
69
H-Index
3
About
Philippe Grandjean is a researcher whose work lies at the intersection of computer vision, robotics, and 3D modeling. His key contributions focus on the fusion of disparate sensor data—particularly noisy range and stereo inputs—to create robust, actionable 3D representations of indoor environments. His most-cited paper (2003, 34 citations) pioneered a method for merging laser rangefinder surface data with stereovision photometric data, describing indoor scenes with planar faces as a step toward polyhedral modeling. This work addressed the critical challenge of noisy geometrical features, advancing the field of scene understanding. Grandjean also developed a robust 3D vision tracking module integrated into mobile-robot control systems (2005, 15 citations), demonstrating practical applications in autonomous navigation. Additionally, his research on high-power laser cutting for dismantling (1997, 20 citations) shows a versatility in applied engineering. Though his citation counts are modest, Grandjean’s contributions are foundational for researchers working on sensor fusion, 3D reconstruction, and robotic perception, offering practical solutions for real-world, noisy data environments.
Research Focus
Key Achievements
Top Papers
- 13-D modeling of indoor scenes by fusion of noisy range and stereo data34 citations · 2003
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