Manuel J. Marín‐Jiménez
Cordoba University, Instituto Maimónides de Investigación Biomédica de Córdoba, University of Córdoba
Papers
7
Total Citations
2,710
H-Index
6
About
Manuel J. Marín‑Jiménez is a leading figure in computer vision and robotics, best known for his pioneering work on fiducial markers and visual SLAM. His most impactful contribution is the development of the ArUco marker library, introduced in his seminal 2014 paper "Automatic generation and detection of highly reliable fiducial markers under occlusion," which has amassed over 2,500 citations and become a de facto standard in augmented reality and robotics. Building on this foundation, he advanced robust marker detection in challenging conditions (2017) and created SPM‑SLAM (2018), a system that integrates squared planar markers for simultaneous localization and mapping. Beyond markers, Marín‑Jiménez has made notable strides in biometrics, proposing the Fisher Motion Descriptor for multiview gait recognition (2016, 49 citations), which uses dense trajectory features instead of traditional binary silhouettes. His recent work on ReSLAM (2023) enables reusable SLAM across heterogeneous cameras, while his exploration of custom fiducial objects (2023) pushes the boundaries of pose estimation accuracy. With over 2,700 total citations, his research continues to shape practical computer vision, offering robust, real‑world solutions for robotics, medical imaging, and augmented reality.
Research Focus
Key Achievements
Top Papers
- 1Automatic generation and detection of highly reliable fiducial markers under occlusion2,502 citations · 2014
- 2SPM-SLAM: Simultaneous localization and mapping with squared planar markers85 citations · 2018
- 3Robust identification of fiducial markers in challenging conditions52 citations · 2017
- 4Fisher Motion Descriptor for Multiview Gait Recognition49 citations · 2016
- 5ReSLAM: Reusable SLAM with heterogeneous cameras11 citations · 2023
- 6Fiducial Objects: Custom Design and Evaluation8 citations · 2023
- 7Fiducial Objects: Custom Design and Evaluation3 citations · 2023