M. Álvaro Berbís
Papers
1
Total Citations
28
H-Index
1
About
M. Álvaro Berbís is a researcher whose work sits at the intersection of computer vision, augmented reality, and medical robotics. His primary contributions focus on advancing object tracking and camera pose estimation, particularly through the use of squared planar markers—a key technology for applications like surgical instrument tracking in medicine. His most cited paper, "Simultaneous Multi-View Camera Pose Estimation and Object Tracking With Squared Planar Markers" (2019, 28 citations), introduces a novel framework that jointly estimates camera poses and tracks objects from multiple viewpoints, overcoming the limitations of single-marker systems. This work is notable for its practical impact on real-time augmented reality systems, where precise tracking is critical. Beyond this, Berbís has contributed to the broader field of marker-based tracking, helping to improve robustness and accuracy in complex environments. His research bridges theoretical advances with real-world applications, making him a valuable voice in the growing intersection of computer vision and medical technology.
Research Focus
Key Achievements
Top Papers
- 1