J.J. Rodriguez

Université Bourgogne Franche-Comté, Université de Bourgogne

Papers

Total Citations

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About

J.J. Rodriguez is a leading figure in polarimetric imaging for computer vision, a field that exploits the polarization of light to reveal hidden scene properties. His work centers on making this powerful technology practical and accessible for robotic vision tasks, including underwater navigation, glare removal, and object classification. Rodriguez’s major contribution is bridging the gap between complex polarimetric theory and real-world application. His highly cited 2022 paper, "A Practical Calibration Method for RGB Micro-Grid Polarimetric Cameras" (12 citations), provides a foundational, user-friendly technique for calibrating commercial sensors, directly enabling their use in robotics. Building on this, his landmark 2024 work, "Pola4All" (6 citations), introduces an open-source toolkit that surveys polarimetric applications and provides a complete software pipeline for analysis. This toolkit democratizes the field, allowing a broader community of researchers and engineers to leverage polarization cues for material recognition, shape estimation, and depth perception. Through these practical innovations, Rodriguez is transforming polarimetric imaging from a niche research area into a standard tool for scene understanding.