Víctor Manuel Mondéjar-Guerra
Papers
1
Total Citations
52
H-Index
1
About
Víctor Manuel Mondéjar-Guerra is a leading researcher in computer vision and machine learning, with a primary focus on robust marker detection and image analysis under adverse conditions. His most influential work, "Robust identification of fiducial markers in challenging conditions" (2017), has garnered over 52 citations and addresses a critical bottleneck in augmented reality, robotics, and industrial inspection: the reliable recognition of fiducial markers in low-light, occluded, or high-noise environments. Mondéjar-Guerra’s contributions extend to developing resilient algorithms that maintain high accuracy despite variable lighting, motion blur, or partial obstruction—advancements that have practical implications for autonomous navigation, medical imaging, and manufacturing quality control. His research bridges theoretical rigor with real-world deployment, often integrating deep learning techniques to enhance robustness. Beyond his citation impact, he is recognized for collaborative projects that push the boundaries of computer vision in challenging scenarios, making his work essential reading for students and engineers seeking to build systems that perform reliably outside controlled laboratory conditions.
Research Focus
Key Achievements
Top Papers
- 1Robust identification of fiducial markers in challenging conditions52 citations · 2017