- November 2025
November 2025. Filippo Maggioli, researcher at the xRAI Research Center (Research Center on Computer Vision and eXtended Reality) within the Department of Information Science and Technology at Pegaso University, has received an Honorable Mention for the Best Paper Award for his work “UV Parametrization via Topological Disk Segmentation of Surfaces” presented at the prestigious international conference STAG 2025.
About STAG – Smart Tools and Applications in Graphics
STAG is an international conference organized by EGit (EUROGRAPHICS Italy), the Italian branch of the European Association for Computer Graphics (EUROGRAPHICS). Held annually, STAG brings together the majority of Italian researchers, along with a significant number of international experts, to present pioneering and experimental research in Computer Graphics and Computer Vision.
UV Parametrization via Topological Disk Segmentation of Surfaces
The parametrization of 3D objects has its origins in cartography and involves cutting and decomposing a surface so it can be represented on a planar map. Today, this process is widely used in Computer Graphics to decorate 3D models or introduce additional visual details. The paper “UV Parametrization via Topological Disk Segmentation of Surfaces”, presented at STAG 2025 by Filippo Maggioli (Pegaso University) and Simone Melzi (University of Milano-Bicocca), and available in the digital conference proceedings, introduces a new and efficient algorithm for decomposing a surface into topological disks , regions that can be smoothly deformed into a disk without the need for extra seams or cuts. This type of segmentation is highly effective for producing 3D object parametrizations and, thanks to the use of fully combinatorial algorithmic procedures, is both robust and computationally efficient.
- Filippo Maggioli