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.
Results 1-6 of 6 (Search time: 0.001 seconds).
|1||Nov-2020||AtlantaNet: Inferring the 3D Indoor Layout from a Single 360 Image beyond the Manhattan World Assumption||Pintore, Giovanni ; Agus, Marco ; Gobbetti, Enrico|
|2||2020||Automatic 3D Reconstruction of Structured Indoor Environments||Pintore, Giovanni ; Mura, Claudio ; Ganovelli, Fabio ; Fuentes-Perez, Lizeth ; Pajarola, Renato ; Gobbetti, Enrico|
|3||Jun-2021||A novel approach for exploring annotated data with interactive lenses||Bettio, Fabio ; Ahsan, Moonisa ; Marton, Fabio ; Gobbetti, Enrico|
|4||Jun-2021||SliceNet: deep dense depth estimation from a single indoor panorama using a slice-based representation||Pintore, Giovanni ; Agus, Marco ; Eva Almansa ; Jens Schneider ; Gobbetti, Enrico|
|5||2020||State-of-the-art in Automatic 3D Reconstruction of Structured Indoor Environments||Pintore, Giovanni ; Mura, Claudio ; Ganovelli, Fabio ; Fuentes-Perez, Lizeth ; Pajarola, Renato ; Gobbetti, Enrico|
|6||May-2021||Web-based Exploration of Annotated Multi-Layered Relightable Image Models||Alberto Jaspe-Villanueva ; Moonisa Ahsan ; Ruggero Pintus ; Andrea Giachetti ; Enrico Gobbetti|