Research Activities

Our goal is to create new scalable technologies to acquire, create, deploy, explore and analyze massive and complex objects and environments, as well as to integrate them into interactive visual simulations and virtual environments. Our research activities encompass many aspects of visual computing and include topics such as computer graphics, scientific and information visualization, computer vision, image processing, display design, and user interfaces. The application domains span many areas of science, architecture, engineering and humanities.

Our research is widely published, and many of our technologies have been integrated in real-world applications in fields that include, but are not limited to, internet geoviewing, scientific and medical data analysis, surgical training, and cultural heritage study and valorization.

Our work is generally carried out in the framework of collaborative resarch projects. Representative examples of our research domains are the following:

Intelligent data-driven methods for reconstruction and exploration of reality-based environment. We focus on techniques for effective reality-based modeling and exploration, exploiting data-driven techniques and prior knowledge to cope with partial and noisy data. For reconstruction, we target both point clouds, images, anda data-fusion approaches. Our methods range from deep learning to geometry reasoning, to a combination of both. We handle geometry, color, and semantics, and we tackle a variety of problems covering the entire pipeline from acquisition to exploration. One of our main application areas is indoor reconstruction.
Representative publications

  1. Giovanni Pintore, Alberto Jaspe-Villanueva, Markus Hadwiger, Jens Schneider, Marco Agus, Fabio Marton, Fabio Bettio, and Enrico Gobbetti. Deep synthesis and exploration of omnidirectional stereoscopic environments from a single surround-view panoramic image. Computers & Graphics, 119: 103907, March 2024. DOI: 10.1016/j.cag.2024.103907.

  2. Giovanni Pintore, Eva Almansa, Armando Sanchez, Giorgio Vassena, and Enrico Gobbetti. Deep Panoramic Depth Prediction and Completion for Indoor Scenes. Computational Visual Media, February 2024. DOI: 10.1007/s41095-023-0358-0.

  3. Giovanni Pintore, Fabio Bettio, Marco Agus, and Enrico Gobbetti. Deep scene synthesis of Atlanta-world interiors from a single omnidirectional image. IEEE Transactions on Visualization and Computer Graphics, 29, November 2023. DOI: 10.1109/TVCG.2023.3320219. Proc. ISMAR.

  4. Muhammad Tukur, Giovanni Pintore, Enrico Gobbetti, Jens Schneider, and Marco Agus. SPIDER: A framework for processing, editing and presenting immersive high-resolution spherical indoor scenes. Graphical Models, 128: 101182:1-101182:11, July 2023. DOI: 10.1016/j.gmod.2023.101182.

  5. Giovanni Pintore, Marco Agus, Eva Almansa, and Enrico Gobbetti. Instant Automatic Emptying of Panoramic Indoor Scenes. IEEE Transactions on Visualization and Computer Graphics, 28(11): 3629-3639, November 2022. DOI: 10.1109/TVCG.2022.3202999. Proc. ISMAR.

  6. 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.

  7. 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 11531-11540, 2021. DOI: 10.1109/CVPR46437.2021.01137. Selected as oral presentation.

  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: 10.1007/978-3-030-58598-3_26.

  9. 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.

  10. Giovanni Pintore, Fabio Ganovelli, Alberto Jaspe Villanueva, and Enrico Gobbetti. Automatic modeling of cluttered multi-room floor plans from panoramic images. Computers Graphics Forum, 38(7): 347-358, 2019. DOI: 10.1111/cgf.13842.

  11. Giovanni Pintore, Fabio Ganovelli, Ruggero Pintus, Roberto Scopigno, and Enrico Gobbetti. 3D floor plan recovery from overlapping spherical images. Computational Visual Media, 4(4): 367-383, December 2018. DOI: 10.1007/s41095-018-0125-9.

  12. Giovanni Pintore, Ruggero Pintus, Fabio Ganovelli, Roberto Scopigno, and Enrico Gobbetti. Recovering 3D existing-conditions of indoor structures from spherical images. Computers & Graphics, 77: 16-29, December 2018. DOI: 10.1016/j.cag.2018.09.013.
Novel user interfaces for exploring 3D models beyond plain visual replication. In the context of visualization of massive and complex scenes, users require interactive control to effectively explore the data. Our research focuses on natural interfaces for scene navigation and data exploration. In this area, we have introduced methods for constrained navigation using graphs, a variety of visualization lenes, annotations, exploration tools for volumetric data, specialized techniques for camera control on touch screens, and user-interface techniques using dual-display setups.
Representative publications

  1. Moonisa Ahsan, Fabio Marton, Ruggero Pintus, and Enrico Gobbetti. Audio-visual Annotation Graphs for Guiding Lens-based Scene Exploration. Computers & Graphics, 105: 131-145, 2022. DOI: 10.1016/j.cag.2022.05.003.

  2. 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.

  3. Marco Agus, Fabio Marton, Fabio Bettio, Markus Hadwiger, and Enrico Gobbetti. Data-driven analysis of virtual 3D exploration of a large sculpture collection in real-world museum exhibitions. ACM Journal on Computing and Cultural Heritage (JOCCH), 11(1): 2:1-2:20, December 2017. DOI: 10.1145/3099618.

  4. Fabio Marton, Marcos Balsa Rodriguez, Fabio Bettio, Marco Agus, Alberto Jaspe Villanueva, and Enrico Gobbetti. IsoCam: Interactive Visual Exploration of Massive Cultural Heritage Models on Large Projection Setups. ACM Journal on Computing and Cultural Heritage (JOCCH), 7(2): Article 12, June 2014.

  5. Fabio Marton, Marco Agus, Enrico Gobbetti, Giovanni Pintore, and Marcos Balsa Rodriguez. Natural exploration of 3D massive models on large-scale light field displays using the FOX proximal navigation technique. Computers & Graphics, 36(8): 893-903, December 2012. DOI: 10.1016/j.bbr.2011.03.031.
Compression, rendering, and analysis of massive volumetric datasets. We focus on methods able to render models of potentially unlimited size on current GPU platforms. As representaitve examples, we introduced the first methods based on adaptive out-of-core multiresolution techniques with visibility feedback realized within a single-pass GPU raycasting framework, and introduced in this area novel compression techniques based on tensor decomposition and sparse coding. Fully interactive performance has been demonstrated on static and dynamic datasets at the terascale.
Representative publications

  1. Marco Agus, Amal Aboulhassan, Khaled Al-Thelaya, Giovanni Pintore, Enrico Gobbetti, Corrado Calì, and Jens Schneider. Volume Puzzle: visual analysis of segmented volume data with multivariate attributes. In Proc. IEEE Visualization and Visual Analytics (VIS). Pages 130-134, November 2022. DOI: 10.1109/VIS54862.2022.00035.

  2. Jose Díaz, Fabio Marton, and Enrico Gobbetti. Interactive Spatio-Temporal Exploration of Massive Time-Varying Rectilinear Scalar Volumes based on a Variable Bit-Rate Sparse Representation over Learned Dictionaries. Computers & Graphics, 88: 45-56, 2020. DOI: 10.1016/j.cag.2020.03.002.

  3. Marco Agus, Corrado Calì, Ali Al-Awami, Enrico Gobbetti, Pierre Magistretti, and Markus Hadwiger. Interactive Volumetric Visual Analysis of Glycogen-derived Energy Absorption in Nanometric Brain Structures. Computer Graphics Forum, 38(3): 427-439, 2019. DOI: 10.1111/cgf.13700.

  4. Fabio Marton, Marco Agus, and Enrico Gobbetti. A framework for GPU-accelerated exploration of massive time-varying rectilinear scalar volumes. Computer Graphics Forum, 38(3): 53-66, 2019. DOI: 10.1111/cgf.13671.

  5. Marcos Balsa Rodriguez, Enrico Gobbetti, José Antonio Iglesias Guitián, Maxim Makhinya, Fabio Marton, Renato Pajarola, and Susanne Suter. State-of-the-art in Compressed GPU-Based Direct Volume Rendering. Computer Graphics Forum, 33(6): 77-100, September 2014. DOI: 10.1111/cgf.12280.

  6. Enrico Gobbetti, José Antonio Iglesias Guitián, and Fabio Marton. COVRA: A compression-domain output-sensitive volume rendering architecture based on a sparse representation of voxel blocks. Computer Graphics Forum, 31(3pt4): 1315-1324, 2012. DOI: 10.1111/j.1467-8659.2012.03124.x. Proc. Eurovis 2012.

  7. Susanne K. Suter, José Antonio Iglesias Guitián, Fabio Marton, Marco Agus, Andreas Elsener, Christoph P.E. Zollikofer, M. Gopi, Enrico Gobbetti, and Renato Pajarola. Interactive Multiscale Tensor Reconstruction for Multiresolution Volume Visualization. IEEE Transactions on Visualization and Computer Graphics, 2011. Proc. IEEE Visualization.

  8. Enrico Gobbetti, Fabio Marton, and José Antonio Iglesias Guitián. A single-pass GPU ray casting framework for interactive out-of-core rendering of massive volumetric datasets. The Visual Computer, 24(7-9): 797-806, 2008. Proc. CGI 2008.
Effective acquisition and reproduction of color, appearance, and shape of 3D models. We focus on techniques for effectively combining acquired material, colorimetric. and geometric information using multiple sensors. In particular, we proposed advanced techniques for mapping photographic datasets to dense 3D models acquired with laser scanning, for acquiring 3D models in highly cluttered environments, and for capturing multi-light-image-collections and deriving information from them.
Representative publications

  1. 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.

  2. Ruggero Pintus, Alberto Jaspe Villanueva, Antonio Zorcolo, Markus Hadwiger, and Enrico Gobbetti. A Practical and Efficient Model for Intensity Calibration of Multi-Light Image Collections. The Visual Computer, 37(9): 2755-2767, September 2021. DOI: 10.1007/s00371-021-02172-9. Best paper award at CGI 2021.

  3. Ruggero Pintus, Tinsae Dulache, Irina Ciortan, Enrico Gobbetti, and Andrea Giachetti. State-of-the-art in Multi-Light Image Collections for Surface Visualization and Analysis. Computer Graphics Forum, 38(3): 909-934, 2019. DOI: 10.1111/cgf.13732.

  4. Ruggero Pintus and Enrico Gobbetti. A Fast and Robust Framework for Semi-Automatic and Automatic Registration of Photographs to 3D Geometry. ACM Journal on Computing and Cultural Heritage (JOCCH), 7(4): 23:1-23:23, February 2015. DOI: 10.1145/2629514.

  5. Fabio Bettio, Alberto Jaspe Villanueva, Emilio Merella, Fabio Marton, Enrico Gobbetti, and Ruggero Pintus. Mont'e Scan: Effective Shape and Color Digitization of Cluttered 3D Artworks. ACM Journal on Computing and Cultural Heritage (JOCCH), 8(1): 4:1-4:23, 2015. DOI: 10.1145/2644823.

  6. Claudio Mura, Oliver Mattausch, Alberto Jaspe Villanueva, Enrico Gobbetti, and Renato Pajarola. Automatic Room Detection and Reconstruction in Cluttered Indoor Environments with Complex Room Layouts. Computers & Graphics, 44: 20-32, November 2014. DOI: 10.1016/j.cag.2014.07.005.
Processing, distribution, editing and visualization of surface and volume meshes. We look at techniques for supporting inspection and editing of surface and volume models, covering both the efficient construction or processing of models and their visualization. In particular, we focus on triangle meshes for surfaces and hexahedral meshes for volumes. Our solutions include the first coarse-grained GPU-bound multiresolutione rendering solutions, as well as advanced automatic and interactive full-hex meshers.
Representative publications

  1. Francesco Zoccheddu, Enrico Gobbetti, Marco Livesu, Nico Pietroni, and Gianmarco Cherchi. HexBox: Interactive Box Modeling of Hexahedral Meshes. Computer Graphics Forum, 42(5): 1-15, July 2023. DOI: 10.1111/cgf.14899.

  2. Luca Pitzalis, Marco Livesu, Gianmarco Cherchi, Enrico Gobbetti, and Riccardo Scateni. Generalized Adaptive Refinement for Grid-based Hexahedral Meshing. ACM Transactions on Graphics, 40(6): 257:1-257:13, December 2021. DOI: 10.1145/3478513.3480508. Proc. SIGGRAPH Asia 2021.

  3. Stefano Nuvoli, Alessandro Tola, Alessandro Muntoni, Nico Pietroni, Enrico Gobbetti, and Riccardo Scateni. Automatic Surface Segmentation for Seamless Fabrication using 4-axis Milling Machines. Computer Graphics Forum, 40(2): 191-203, 2021. DOI: 10.1111/cgf.142625. Proc. Eurographics 2021.

  4. Paolo Cignoni, Fabio Ganovelli, Enrico Gobbetti, Fabio Marton, Federico Ponchio, and Roberto Scopigno. Batched Multi Triangulation. In Proceedings IEEE Visualization. Pages 207-214. IEEE Computer Society Press, October 2005.

  5. Enrico Gobbetti and Fabio Marton. Layered Point Clouds - a Simple and Efficient Multiresolution Structure for Distributing and Rendering Gigantic Point-Sampled Models. Computers & Graphics, 28(6): 815-826, December 2004.

  6. Paolo Cignoni, Fabio Ganovelli, Enrico Gobbetti, Fabio Marton, Federico Ponchio, and Roberto Scopigno. Adaptive TetraPuzzles - Efficient Out-of-core Construction and Visualization of Gigantic Polygonal Models. ACM Transactions on Graphics, 23(3): 796-803, August 2004. Proc. SIGGRAPH 2004.
Scalable processing, distribution, and rendering of massive and complex 3D surface models. We focus on methods able to support many kinds of models, from point clouds and terrains to large arbitrary surface models, including those with high topological genus, highly variable depth complexity, fine geometric detail, and non-conforming tessellations. Models of this kind arise from photogrammetry, scanning, numerical simulation, and computer aided design.
Representative publications

  1. Alberto Jaspe Villanueva, Fabio Marton, and Enrico Gobbetti. Symmetry-aware Sparse Voxel DAGs (SSVDAGs) for compression-domain tracing of high-resolution geometric scenes. Journal of Computer Graphics Techniques, 6(2): 1-30, 2017.

  2. Marco Di Benedetto, Fabio Ganovelli, Marcos Balsa Rodriguez, Alberto Jaspe Villanueva, Roberto Scopigno, and Enrico Gobbetti. ExploreMaps: Efficient Construction and Ubiquitous Exploration of Panoramic View Graphs of Complex 3D Environments. Computer Graphics Forum, 33(2): 459-468, 2014. DOI: 10.1111/cgf.12334. Proc. Eurographics 2014.

  3. Sung-eui Yoon, Enrico Gobbetti, David Kasik, and Dinesh Manocha. Real-time Massive Model Rendering. Volume 2 of Synthesis Lectures on Computer Graphics and Animation, Morgan and Claypool, August 2008. DOI: 10.2200/S00131ED1V01Y200807CGR007.

  4. Paolo Cignoni, Marco Di Benedetto, Fabio Ganovelli, Enrico Gobbetti, Fabio Marton, and Roberto Scopigno. Ray-Casted BlockMaps for Large Urban Models Visualization. Computer Graphics Forum, 26(3): 405-413, September 2007. Proc. Eurographics 2007.

  5. Enrico Gobbetti, Fabio Marton, Paolo Cignoni, Marco Di Benedetto, and Fabio Ganovelli. C-BDAM - Compressed Batched Dynamic Adaptive Meshes for Terrain Rendering. Computer Graphics Forum, 25(3): 333-342, September 2006. Proc. Eurographics 2006.

  6. Enrico Gobbetti and Fabio Marton. Far Voxels - A Multiresolution Framework for Interactive Rendering of Huge Complex 3D Models on Commodity Graphics Platforms. ACM Transactions on Graphics, 24(3): 878-885, August 2005. Proc. SIGGRAPH 2005.

  7. Paolo Cignoni, Fabio Ganovelli, Enrico Gobbetti, Fabio Marton, Federico Ponchio, and Roberto Scopigno. BDAM - Batched Dynamic Adaptive Meshes for High Performance Terrain Visualization. Computer Graphics Forum, 22(3): 505-514, September 2003. Proc. Eurographics 2003 - Second Best Paper Award.
Interactive visualization on remote, web, and mobile devices. With the widespread availability of mobile graphics terminal and WebGL-enabled browsers, 3D graphics over the Internet is thriving. Our research strives to overcome the limits imposed by network bandwidth, low-powered devices, and script-based Internet browser by introducing compact object and scene representations that support high-quality rendering.
Representative publications

  1. Giovanni Pintore, Alberto Jaspe-Villanueva, Markus Hadwiger, Jens Schneider, Marco Agus, Fabio Marton, Fabio Bettio, and Enrico Gobbetti. Deep synthesis and exploration of omnidirectional stereoscopic environments from a single surround-view panoramic image. Computers & Graphics, 119: 103907, March 2024. DOI: 10.1016/j.cag.2024.103907.

  2. Giovanni Pintore, Fabio Bettio, Marco Agus, and Enrico Gobbetti. Deep scene synthesis of Atlanta-world interiors from a single omnidirectional image. IEEE Transactions on Visualization and Computer Graphics, 29, November 2023. DOI: 10.1109/TVCG.2023.3320219. Proc. ISMAR.

  3. Leonardo Righetto, Fabio Bettio, Federico Ponchio, Andrea Giachetti, and Enrico Gobbetti. Effective interactive visualization of neural relightable images in a web-based multi-layered framework. In The 21th Eurographics Workshop on Graphics and Cultural Heritage. Pages 57-66, 2023. DOI: 10.2312/gch.20231158.

  4. 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.

  5. 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.

  6. Marco Di Benedetto, Fabio Ganovelli, Marcos Balsa Rodriguez, Alberto Jaspe Villanueva, Roberto Scopigno, and Enrico Gobbetti. ExploreMaps: Efficient Construction and Ubiquitous Exploration of Panoramic View Graphs of Complex 3D Environments. Computer Graphics Forum, 33(2): 459-468, 2014. DOI: 10.1111/cgf.12334. Proc. Eurographics 2014.

  7. Marcos Balsa Rodriguez, Enrico Gobbetti, Fabio Marton, and Alex Tinti. Compression-domain Seamless Multiresolution Visualization of Gigantic Meshes on Mobile Devices. In Proc. ACM Web3D International Symposium. Pages 99-107, June 2013. ACM Press. New York, NY, USA.

  8. Enrico Gobbetti, Fabio Marton, Marcos Balsa Rodriguez, Fabio Ganovelli, and Marco Di Benedetto. Adaptive Quad Patches: an Adaptive Regular Structure for Web Distribution and Adaptive Rendering of 3D Models. In Proc. ACM Web3D International Symposium. Pages 9-16, August 2012. ACM Press. New York, NY, USA. (Best Long Paper Award).
Interactive visualization on novel light field displays. We focus on developing efficient techniques for harnessing the power of novel 3D display design. We work with Holografika (Hungary), that develops a 3D display combining a specially arranged array of projectors and a holographic screen. By properly controlling image generation, rendered objects appear floating in space to multiple naked eye viewers. Sustaining interactive rates is a challenging tasks, since hundreds of views per frame have to be generated. We develop specialized user interfaces, calibration methods, and surface and volume rendering techniques for both single processor and network parallel rendering.
Representative publications

  1. Vamsi Kiran Adhikarla, Fabio Marton, Tibor Balogh, and Enrico Gobbetti. Real-time adaptive content retargeting for live multi-view capture and light field display. The Visual Computer, 31(6--8): 1023-1032, 2015. DOI: 10.1007/s00371-015-1127-6.

  2. José Antonio Iglesias Guitián, Enrico Gobbetti, and Fabio Marton. View-dependent Exploration of Massive Volumetric Models on Large Scale Light Field Displays. The Visual Computer, 26(6--8): 1037-1047, 2010.

  3. Marco Agus, Enrico Gobbetti, José Antonio Iglesias Guitián, Fabio Marton, and Giovanni Pintore. GPU Accelerated Direct Volume Rendering on an Interactive Light Field Display. Computer Graphics Forum, 27(3): 231-240, 2008. Proc. Eurographics 2008.

  4. Fabio Bettio, Enrico Gobbetti, Fabio Marton, and Giovanni Pintore. Scalable Rendering of Massive Triangle Meshes on Light Field Displays. Computers & Graphics, 32(1): 55-64, February 2008.
Real-time surgical simulation with visual and haptic feedback. We develop enabling technology to support surgical training through simulation. Our results so far include a multiresolution volumetric model for simulating bone burring, simplified models for contrast agent transport in human vessels, real-time techniques for phacoemulsification simulation. Some of our simulation and rendering modules have been integrated in industrial systems for surgical training.
Representative publications

  1. Marco Agus, Fabio Bettio, Andrea Giachetti, Enrico Gobbetti, José Antonio Iglesias Guitián, Fabio Marton, Jonas Nilsson, and Giovanni Pintore. An interactive 3D medical visualization system based on a light field display. The Visual Computer, 25(9): 883-893, 2009. DOI: 10.1007/s00371-009-0311-y.

  2. Marco Agus, Enrico Gobbetti, Giovanni Pintore, Gianluigi Zanetti, and Antonio Zorcolo. Real Time Simulation of Phaco-emulsification for Cataract Surgery Training. In Workshop in Virtual Reality Interactions and Physical Simulations (VRIPHYS 2006), November 2006. Eurographics Association. Conference held in Madrid, Spain, November 6-7.

  3. Marco Agus, Andrea Giachetti, Enrico Gobbetti, Gianluigi Zanetti, and Antonio Zorcolo. Real-time Haptic and Visual Simulation of Bone Dissection. Presence: Teleoperators and Virtual Environments, 12(1): 110-122, February 2003.

Many of our research results have been used in as diverse real-world applications as cultural heritage presentation, internet geoviewing, scientific data analysis, and surgical training. Examples of specific technology transfer actions are the following:

  • Cultural heritage exploration: our large-scale projection-based interactive system for exploring 3D cultural heritage objects is the basis for permanent exhibitions on Mont'e Prama statues at the National Archaeological Museum in Cagliari, Italy and at the Civic Museum in Cabras, Italy. Tens of thousands of visitors have had the opportunity to play with the system.
  • Massive point cloud library: our tools for geometry processing, streaming, and rendering library for massive point clouds are incorporated in the systems commercialized by Gexcel.
  • SAR3D/RER3D framework: we developed an interactive multilayer internet geoviewing system based on our technology for compression, distribution, and rendering of textured terrain data. The system is used by regional governments (Sardinia, Emilia Romagna) for presenting geographical information.
  • Cataract surgery simulator: We developed a real-time virtual reality simulator of cataract surgery. The system has been used for surgical training courses by DIES group.
  • Discontinuous Finite Element Visualization: Our techniques for interactive scientific visualization of Discontinuous Finite Element Visualization have been Incorporated in a software used at ENEL for analyzing CFD simulations.

    • Check our projects, publications, and multimedia pages for more information on our activities.