Papers
12
Total Citations
97
H-Index
7
About
Gunther Notni is a leading researcher in optical 3D measurement, robotic perception, and intelligent manufacturing. His work centers on developing advanced sensor systems and algorithms for real-time 3D reconstruction, human-robot interaction, and automated quality inspection. Notni’s major contributions include pioneering deep learning approaches for detecting weld seam discontinuities in laser beam butt welding (18 citations), and creating multimodal imaging systems that fuse RGB, thermal, and 3D point cloud data for safe robotic object handover (16 citations). He developed the BICOS algorithm for fast correspondence search in statistical pattern projection-based active stereo sensors (12 citations), enabling real-time 3D scanning for automation tasks. His research on multi-view planning for simultaneous coverage and accuracy optimization (12 citations) has advanced autonomous 3D reconstruction. Notni has also introduced interactive robot teaching methods using finger trajectory analysis with multimodal RGB-D-T data, and the Triangle-Mesh-Rasterization-Projection algorithm for consistent 2D raster image generation from point clouds. His work on the OHO multimodal dataset supports safe human-robot object handover. With over 90 citations across his top papers, Notni’s innovations are driving the next generation of intelligent, sensor-rich manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Multi-View Planning for Simultaneous Coverage and Accuracy Optimisation12 citations · 2010
- 5
- 6
- 7View Planning for 3D Reconstruction Using Time-of-Flight Camera Data8 citations · 2009
- 8
- 9The concept of virtual landmarks in 3D multi-view fringe projection4 citations · 2007
- 10