Advanced Visual and Geometric Computing for 3D Capture, Display, and Fabrication


Project Acronym
EVOCATION
 
Project title
Advanced Visual and Geometric Computing for 3D Capture, Display, and Fabrication
Project Coordinator
OpenAIRE
info:eu-repo/grantAgreement/EC/H2020/813170
 
Project URL
 
Start date
01-10-2019
Expected Completion
30-09-2022
 
Funder
EC
 
Funding Program
H2020
 
Grant number
813170
 
Abstract
EVOCATION is a leading European-wide doctoral Collegium focusing on scalable and high-fidelity shape and appearance acquisition, extraction of structure and semantic information, processing, visualization, 3D display and 3D fabrication in professional and consumer applications. The EVOCATION network of public and private entities is naturally multidisciplinary and multi-institutional and will: (a) advance the state-of-the-art in geometry and material acquisition, geometry processing and semantic feature extraction, interactive visualization, computational fabrication, as well as high-bandwidth / 3D display systems; (b) bridge complementary approaches for cost-effective data digitization, visualization, fabrication, and display through the integration of different methodologies in the 3D capture, processing and fabrication pipeline; (c) promote, through domain-specific challenges, multidisciplinary research applied to concrete problems of the real world, in strict cooperation with end users in engineering, science and humanities; (d) demonstrate the feasibility and efficiency of scalable cost-effective end-to-end techniques to virtually and physically capture and create objects with complex shape and appearance; (e) increase awareness of the benefits of advanced visual and geometric computing technology in both professional and consumer domains. The network will host 14 ESRs distributed among 6 public institutions and 2 companies across Europe. The ESRs will receive scientific skills in cutting-edge techniques in a highly stimulating and collaborative international environment. Further information on the EVOCATION network is available at www.evocation.eu CRS4 co-leads the project with University of Rostock and performs research in the areas of 3D rection and real-time rendering.
 

Publications
(All)

Results 1-14 of 14 (Search time: 0.001 seconds).

Issue DateTitleAuthor(s)
1Nov-2020AtlantaNet: Inferring the 3D Indoor Layout from a Single 360 Image beyond the Manhattan World AssumptionPintore, Giovanni ; Agus, Marco ; Gobbetti, Enrico 
22022Audio-visual annotation graphs for guiding lens-based scene explorationAhsan, Moonisa ; Marton, Fabio ; Pintus, Ruggero ; Gobbetti, Enrico 
32020Automatic 3D Reconstruction of Structured Indoor EnvironmentsPintore, Giovanni ; Mura, Claudio ; GANOVELLI, FABIO ; Fuentes-Perez, Lizeth ; Pajarola, Renato ; Gobbetti, Enrico 
4Dec-2021Deep3DLayout: 3D Reconstruction of an Indoor Layout from a Spherical Panoramic ImagePintore, Giovanni ; Almansa, Eva ; Agus, Marco ; Gobbetti, Enrico 
5Sep-2022Ebb & Flow: Uncovering Costantino Nivola's Olivetti Sandcast through 3D Fabrication and Virtual ExplorationAhsan, Moonisa ; ALTEA, Giuliana ; Bettio, Fabio ; Callieri, Marco ; CAMARDA, Antonella ; Cignoni, Paolo ; Gobbetti, Enrico ; Ledda, Paolo ; Lutzu, Alessandro ; Marton, Fabio ; Mignemi, Giuseppe ; Ponchio, Federico 
62023Exploiting Local Shape and Material Similarity for Effective SV-BRDF Reconstruction from Sparse Multi-Light Image CollectionsPintus, Ruggero ; Ahsan, Moonisa ; Zorcolo, Antonio ; Bettio, Fabio ; Marton, Fabio ; Gobbetti, Enrico 
7Nov-2021Exploiting Neighboring Pixels Similarity for Effective SV-BRDF Reconstruction from Sparse MLICsPintus, Ruggero ; Ahsan, Moonisa ; Marton, Fabio ; Gobbetti, Enrico 
8Oct-2021Guiding Lens-based Exploration using Annotation GraphsAhsan, Moonisa ; Marton, Fabio ; Pintus, Ruggero ; Gobbetti, Enrico 
92022Instant Automatic Emptying of Panoramic Indoor ScenesPintore, Giovanni ; Agus, Marco ; Almansa, Eva ; Gobbetti, Enrico 
102022An integrative view of foveated renderingMohanto, Bipul ; Islam, AMB Tariqul ; Gobbetti, Enrico ; Staadt, Oliver 
11Jun-2021A novel approach for exploring annotated data with interactive lensesBettio, Fabio ; Ahsan, Moonisa ; Marton, Fabio ; Gobbetti, Enrico 
12Jun-2021SliceNet: deep dense depth estimation from a single indoor panorama using a slice-based representationPintore, Giovanni ; Agus, Marco ; Almansa, Eva ; Schneider, Jens ; Gobbetti, Enrico 
132020State-of-the-art in Automatic 3D Reconstruction of Structured Indoor EnvironmentsPintore, Giovanni ; Mura, Claudio ; Ganovelli, Fabio ; Fuentes-Perez, Lizeth ; Pajarola, Renato ; Gobbetti, Enrico 
14May-2021Web-based Exploration of Annotated Multi-Layered Relightable Image ModelsJaspe-Villanueva, Alberto ; Ahsan, Moonisa ; Pintus, Ruggero ; Giachetti, Andrea ; Gobbetti, Enrico