Christiane Sommer
Papers
1
Total Citations
11
H-Index
1
About
Christiane Sommer is a leading researcher in 3D computer vision and geometric perception, with a focus on extracting high-level structural primitives from unorganized point clouds. Her most-cited work, "From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds" (2020), introduces a segmentation-free method for jointly estimating orthogonal planes, their intersection lines, and corners—enabling robust scene understanding under Manhattan-world assumptions. This unified framework supports applications from semantic mapping to indoor reconstruction, and has garnered 11 citations as a foundational contribution to primitive-based 3D analysis. Sommer’s research bridges geometric reasoning and practical vision systems, advancing how autonomous agents interpret built environments. Her work is notable for its elegance in leveraging orthogonality constraints to simplify complex scene parsing, making it highly influential for students and researchers working in SLAM, robotics, and 3D perception.
Research Focus
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Top Papers
- 1