Xionghui Lu

Stony Brook University

Papers

1

Total Citations

3

H-Index

1

About

Xionghui Lu is a researcher whose work centers on advancing 3D pose estimation and geometric computer vision. His most notable contribution is the development of "Single-Camera Trilateration," a novel scheme that enables the estimation of a camera's instantaneous 3D pose from a single image of known landmarks. By grounding his method in the classical pinhole camera model and perspective geometry, Lu has offered a streamlined alternative to traditional multi-camera or iterative approaches, with potential applications in robotics, augmented reality, and autonomous navigation. While his work has garnered a modest 3 citations, it represents a foundational step toward more efficient and mathematically elegant solutions in single-image localization. Lu's research reflects a dedication to simplifying complex geometric problems, making his contributions a valuable reference for students and researchers exploring camera calibration and spatial reasoning.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Single-Camera Trilateration
3 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Stony Brook University

Top Papers

  1. 1
    Single-Camera Trilateration
    3 citations · 2019

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago