Christine Guillemot

Institut de Recherche en Informatique et Systèmes Aléatoires, Centre National de la Recherche Scientifique

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About

Christine Guillemot is a pioneering researcher at the intersection of computer vision, image processing, and 3D scene modeling. Her work centers on light field imaging—a technology that captures the full volume of light rays in a scene, enabling unprecedented depth and perspective reconstruction. Guillemot’s major contributions include developing novel frameworks for side information extraction in distributed video coding, particularly for static 3-D environments, which has direct applications in augmented reality, remote robotics, and hazardous environment exploration. She has also advanced dense video light field processing, demonstrating how these rich datasets can be leveraged for high-fidelity 3D scene modeling, with implications for microscopy and medical imaging. Her seminal overview paper on light field image processing (2017) has garnered significant attention, serving as a key reference for researchers entering the field. With over 11 citations on her foundational 2007 work and growing recognition for her later contributions, Guillemot’s research continues to shape how we capture, process, and interact with visual information in three dimensions.