Impartido por la Dra. Elena Garcés García (SEDDI).

Virtual design, online marketplaces, product lifecycle workflows, AR/VR, videogames,…, all require lifelike digital representations of real-world materials (i.e., digital twins).
Acquiring these digital copies is typically a cumbersome and slow process that requires expensive machines and several manual steps, creating roadblocks for scalability, repeatability, and consistency.
In this talk, I will discuss our end-to-end approach to providing a scalable solution to digitize textiles, including the design of an optical gonioreflectometer (capable of seeing yarns at the fiber level) for dataset creation and our deep learning-based solution that only requires a single image as input.

Elena Garcés es doctora en Informática, experta en técnicas avanzadas de procesamiento de imagen y render inverso para captura de apariencia. Actualmente es investigadora en la URJC además de líder del equipo de IA y óptica de la empresa SEDDI, donde desarrolla métodos de captura de materiales, modelado de humanos, y ropa virtual.