Guangtao Cui

Beijing Institute of Technology

Papers

1

Total Citations

13

H-Index

1

About

Guangtao Cui is a researcher in robotics and computer vision, with a focus on robust object recognition and real-time visual identification systems. His most-cited work, "Robot robust object recognition based on fast SURF feature matching" (2013), introduces a novel Speeded Up SURF (SSURF) algorithm that adapts the local invariant features of SURF for robotic applications. This contribution addresses critical challenges in robot vision, including scale changes, rotation, perspective shifts, and varying illumination, enabling more reliable and efficient object recognition in dynamic environments. With 13 citations, this paper has influenced subsequent work in robotic perception and feature matching. Cui’s research bridges the gap between theoretical computer vision and practical robotics, emphasizing speed and robustness for real-time systems. His work is particularly valuable for students and researchers exploring autonomous navigation, industrial automation, and human-robot interaction, offering a foundation for developing vision systems that operate effectively under unpredictable conditions.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Robot robust object recognition based on fast SURF feature matching
13 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Beijing Institute of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago