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

Funded by: EU H2020Reference: H2020-MSCA-ITN-813170
Start: 2018-10-01Duration: 48 months
Coordinator: University of RostockGermany
Contractor: CRS4Italy
Contractor: University of ZurichSwitzerland
Contractor: ISTI-CNRItaly
Contractor: HolografikaHungary
Contractor: TU WienAustria
Contractor: Fraunhofer IGDGermany
Contractor: GexcelItaly


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 CRS4 co-leads the project with University of Rostock and performs research in the areas of 3D reconstruction and real-time rendering.


[1] Giovanni Pintore, Eva Almansa, Marco Agus, and Enrico Gobbetti. Deep3DLayout: 3D Reconstruction of an Indoor Layout from a Spherical Panoramic Image. ACM Transactions on Graphics, 40(6): 250:1-250:12, December 2021. DOI: 10.1145/3478513.3480480. Proc. SIGGRAPH Asia 2021. To appear. 
[2] Bipul Mohanto, ABM Tariqul Islam, Enrico Gobbetti, and Oliver Staadt. An integrative view of foveated rendering. Computers & Graphics, 2021. DOI: 10.1016/j.cag.2021.10.010. To appear.
[3] Ruggero Pintus, Moonisa Ahsan, Fabio Marton, and Enrico Gobbetti. Exploiting Neighboring Pixels Similarity for Effective SV-BRDF Reconstruction from Sparse MLICs. In The 19th Eurographics Workshop on Graphics and Cultural Heritage, November 2021. To appear. 
[4] 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), October 2021. To appear. 
[5] 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. 
[6] Giovanni Pintore, Marco Agus, Eva Almansa, Jens Schneider, and Enrico Gobbetti. SliceNet: deep dense depth estimation from a single indoor panorama using a slice-based representation. In Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Pages 11536-11545, 2021. Selected as oral presentation. 
[7] 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, 14(2): 24:1-24:31, May 2021. DOI: 10.1145/3430846
[8] Giovanni Pintore, Marco Agus, and Enrico Gobbetti. AtlantaNet: Inferring the 3D Indoor Layout from a Single 360 Image beyond the Manhattan World Assumption. In Proc. ECCV. Pages 432-448, August 2020. DOI: 10.1145/978-3-030-58598-3_26
[9] Giovanni Pintore, Claudio Mura, Fabio Ganovelli, Lizeth Fuentes-Perez, Renato Pajarola, and Enrico Gobbetti. Automatic 3D Reconstruction of Structured Indoor Environments. In SIGGRAPH 2020 Courses. Pages 10:1-10:218, August 2020. DOI: 10.1145/3388769.3407469
[10] Giovanni Pintore, Claudio Mura, Fabio Ganovelli, Lizeth Fuentes-Perez, Renato Pajarola, and Enrico Gobbetti. State-of-the-art in Automatic 3D Reconstruction of Structured Indoor Environments. Computer Graphics Forum, 39(2): 667-699, 2020. DOI: 10.1111/cgf.14021