Publications

2023

Scalable Exploration of Complex Objects and Environments Beyond Plain Visual Replication​ [Thesis]

M. Ahsan, “Scalable exploration of complex objects and environments beyond plain visual replication,” 2023.

DOI: hdl.handle.net/11584/355681 [PDF]  

Exploiting Local Shape and Material Similarity for Effective SV-BRDF Reconstruction from Sparse Multi-Light Image Collections

Ruggero Pintus, Moonisa Ahsan, Antonio Zorcolo, Fabio Bettio, Fabio Marton, and Enrico Gobbetti. Exploiting Local Shape and Material Similarity for Effective SV-BRDF Reconstruction from Sparse Multi-Light Image Collections. ACM Journal on Computing and Cultural Heritage (JOCCH), 16(2): 39:1-39:31, June 2023. 

DOI: 10.1145/3593428 

2022

Ebb & Flow: Uncovering Costantino Nivola's Olivetti Sandcast through 3D Fabrication and Virtual Exploration

Moonisa Ahsan, Giuliana Altea, Fabio Bettio, Marco Callieri, Antonella Camarda, Paolo Cignoni, Enrico Gobbetti, Paolo Ledda, Alessandro Lutzu, Fabio Marton, Giuseppe Mignemi, and Federico Ponchio. Ebb & Flow: Uncovering Costantino Nivola's Olivetti Sandcast through 3D Fabrication and Virtual Exploration. In The 20th Eurographics Workshop on Graphics and Cultural Heritage. Pages 85-94, September 2022.

DOI: 10.2312/gch.20221230 [PDF]

2021

Moonisa Ahsan, Fabio Marton, Ruggero Pintus, and Enrico Gobbetti. Guiding Lens-based Exploration using Annotation Graphs. In Proc. Smart Tools and Applications in Graphics (STAG). Pages 85-90, October 2021.

DOI: 10.2312/stag.20211477 [PDF]  
⭐️Best Paper (Honorable Mention) 

Fabio Bettio, Moonisa Ahsan, Fabio Marton, and Enrico Gobbetti. A novel approach for exploring annotated data with interactive lenses. Computer Graphics Forum, 40(3): 387-398, 2021.

DOI: 10.1111/cgf.14315. Proc. EUROVIS 2021 [PDF] 

Web-based Exploration of Annotated Multi-Layered Relightable Image Models

Alberto Jaspe Villanueva, Moonisa Ahsan, Ruggero Pintus, Andrea Giachetti, and Enrico Gobbetti. Web-based Exploration of Annotated Multi-Layered Relightable Image Models. ACM Journal on Computing and Cultural Heritage (JOCCH), 14(2): 24:1-24:31, May 2021. 


DOI: 10.1145/3430846 [PDF]