Papers
19
Total Citations
3,523
H-Index
11
About
Rafael Muñoz‐Salinas is a leading researcher in computer vision and robotics, best known for his transformative work on fiducial markers. His key research areas include camera pose estimation, simultaneous localization and mapping (SLAM), object tracking, and human-robot interaction. His most significant contribution is the development of highly reliable squared fiducial markers, which are essential tools for augmented reality, unmanned vehicles, and robotics. His seminal 2014 paper, "Automatic generation and detection of highly reliable fiducial markers under occlusion," has garnered over 2,500 citations, establishing the gold standard for marker-based pose estimation. He further advanced the field with "Speeded up detection of squared fiducial markers" (608 citations) and "SPM-SLAM" (85 citations), which integrated markers into SLAM systems. Muñoz‐Salinas also pioneered "Fractal Markers" for long-range pose estimation under occlusion and contributed to gait recognition and people detection for human-robot interaction. His work is widely adopted in both academia and industry, enabling robust tracking in challenging conditions. With over 3,400 total citations, his research continues to shape the future of marker-based computer vision.
Research Focus
Key Achievements
Top Papers
- 1Automatic generation and detection of highly reliable fiducial markers under occlusion2,502 citations · 2014
- 2Speeded up detection of squared fiducial markers608 citations · 2018
- 3SPM-SLAM: Simultaneous localization and mapping with squared planar markers85 citations · 2018
- 4Robust identification of fiducial markers in challenging conditions52 citations · 2017
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- 6Fisher Motion Descriptor for Multiview Gait Recognition49 citations · 2016
- 7Detection of doors using a genetic visual fuzzy system for mobile robots31 citations · 2006
- 8Planar fiducial markers: a comparative study28 citations · 2023
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