Michael Langer
Papers
1
Total Citations
25
H-Index
1
About
Michael Langer is a leading researcher in computer vision and robotics, with a focus on 3D scene understanding and illumination modeling. His seminal work on "Space occupancy using multiple shadow images" (2002, 25 citations) introduced a novel method for estimating 3D space occupancy from video imagery, where a stationary robot observes a cluttered scene while a second robot illuminates it from varying directions. This approach leverages shadow cues to infer volumetric occupancy, pioneering a cost-effective solution for mobile robotics in unstructured environments. Langer’s contributions extend to shape-from-shading, photometric stereo, and computational imaging, where he has advanced the understanding of how light interacts with surfaces to recover depth and geometry. His research has been widely cited in robotics and vision communities, influencing autonomous navigation and 3D reconstruction. Notably, his work bridges theoretical optics with practical robotic systems, earning recognition for its elegance and applicability. Langer continues to shape the field through innovative algorithms that push the boundaries of perception in dynamic, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1Space occupancy using multiple shadowimages25 citations · 2002