R. Medina-Carnicer
Instituto Maimónides de Investigación Biomédica de Córdoba, University of Córdoba
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
Top Papers
- 1Speeded up detection of squared fiducial markers608 citations · 2018
- 2SPM-SLAM: Simultaneous localization and mapping with squared planar markers85 citations · 2018
- 3Robust identification of fiducial markers in challenging conditions52 citations · 2017
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- 6Planar fiducial markers: a comparative study28 citations · 2023
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- 8ReSLAM: Reusable SLAM with heterogeneous cameras11 citations · 2023
- 9Fiducial Objects: Custom Design and Evaluation8 citations · 2023
- 10Fiducial Objects: Custom Design and Evaluation3 citations · 2023