El Mustapha Mouaddib

El Mustapha Mouaddib is a Professor in the Perception and Robotics department at Universite de Picardie Jules Verne, affiliated with Laboratory Heudiasyc (UMR CNRS 7253). His research bridges advanced robotics with cultural heritage preservation, focusing on developing novel computer vision techniques for complex documentation challenges.

His primary research interests include omnidirectional vision systems, hyperspectral imaging, and 3D reconstruction methodologies, with significant emphasis on applications for cultural heritage documentation. Mouaddib's work particularly addresses challenges in temporal illumination compensation, laser scanning registration, and multi-scale digitization of historical structures, as evidenced by his extensive Notre-Dame de Paris cathedral research.

Analysis of his 15 most recent publications reveals a consistent trajectory toward heritage robotics - developing specialized computer vision algorithms for cultural preservation. His work demonstrates increasing sophistication in

• integrating multi-modal sensor data (TLS, hyperspectral, RGB-D)
• solving illumination challenges in historical documentation
• developing adaptive robotic systems for complex environments

Notably, his Notre-Dame research forms a cohesive body of work examining structural changes through advanced 3D analysis.

Mouaddib actively participates in major interdisciplinary projects including SAMURAI, ASSIDUITAS, SCANBOT, ADAPT, and SUMUM, which focus on heritage digitization and robotic exploration. His collaborative approach is evident through extensive co-authorship with institutions like CNRS and international partners in Japan and Italy.

His laboratory work centers on the E-Cathedrale initiative, creating comprehensive digital twins of Gothic cathedrals through multi-temporal and multi-scale documentation. This involves developing specialized hardware (like the HDROmni camera system) alongside novel algorithms for processing challenging heritage environments.