Marco Marcon

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About

Marco Marcon is a leading researcher at the intersection of computer vision, wearable computing, and embedded systems. His work focuses on making intelligent visual sensing practical for real-world, resource-constrained devices. A key contribution is his pioneering research on pervasive eye-tracking for smart eyewear, where he addresses the fundamental challenge of balancing high accuracy with extreme low-power constraints. His 2025 paper on this topic, which has already garnered 7 citations, proposes a hierarchical network architecture that enables intuitive, hands-free interaction and improved accessibility on wearable platforms. Marcon has also made foundational contributions to geometric computer vision, particularly in camera calibration. His work on partial camera calibration from a single circle provides a novel, efficient solution for precise spatial localization—a critical capability for robot navigation, indoor georeferencing, and egocentric motion analysis. By developing algorithms that require minimal input while delivering robust performance, Marcon’s research is directly enabling the next generation of autonomous systems and intelligent wearables, bridging the gap between theoretical vision and practical deployment.