Papers

10

Total Citations

919

H-Index

8

About

R. Medina-Carnicer is a prominent computer vision researcher whose work has fundamentally shaped the field of fiducial marker detection and pose estimation. Best known for contributions to augmented reality, robotics, and simultaneous localization and mapping (SLAM), his research has provided critical tools for enabling machines and systems to understand their spatial environment with precision and reliability. His most celebrated contribution, "Speeded up detection of squared fiducial markers" (2018), has accumulated over 600 citations, underscoring its transformative impact on real-time marker-based tracking systems used in robotics and augmented reality. Building on this foundation, he advanced SLAM methodologies through SPM-SLAM and ReSLAM, extending pose estimation capabilities to heterogeneous and multi-camera systems. His development of Fractal Markers addressed long-standing challenges like occlusion and long-range detection, while his work on fiducial objects pushed beyond conventional single-marker limitations. Medina-Carnicer's research portfolio also extends to motion capture, with early work in 2005 establishing video-based 3D motion analysis systems. His longitudinal comparative studies of planar fiducial markers demonstrate a sustained commitment to rigorous evaluation and methodological refinement. With hundreds of citations across a decade of work, he remains an influential voice in applied computer vision research.

Research Focus

Key Achievements

8
H-Index
10
Papers
919
Total Citations
92
Avg Citations/Paper
🏆 Most Cited Paper
Speeded up detection of squared fiducial markers
608 citations · 2018
📈 Most Prolific Year: 2023 (4 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Instituto Maimónides de Investigación Biomédica de Córdoba, University of Córdoba

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago