{"id":12696,"date":"2025-07-03T18:18:35","date_gmt":"2025-07-03T16:18:35","guid":{"rendered":"https:\/\/www.crs4.it\/projects\/affine\/"},"modified":"2026-04-02T12:32:47","modified_gmt":"2026-04-02T10:32:47","slug":"affine","status":"publish","type":"projects","link":"https:\/\/www.crs4.it\/en\/projects\/affine\/","title":{"rendered":"AFFINE"},"content":{"rendered":"<p>The AFFINE project aims to synergistically use geometric and visual data acquired from different sensors to obtain, for the same amount of resources used for acquisition, extremely dense and geometrically much more detailed models, substantially improving the competitiveness of the digitization system, and making it ready for the demands of modern industrial and commercial applications.<br \/>\nFrom the perspective of innovation, the project aims to:<\/p>\n<ul>\n<li>research intelligent methodologies, mainly based on deep learning approaches, to densify individual geometric scans by exploiting the information in panoramic images;<\/li>\n<li>research scalable out-of-core solutions, to effectively integrate densified data from individual scans to obtain a single dense 3D point cloud representative of the entire area or building acquired;<\/li>\n<li>combine geometric, visual, and odometric data to improve the mutual alignment of 3D data, imagery, and the location itself within the generated model;<\/li>\n<li>use high-resolution images with densified geometric information and of the densified 3D model on both data sharing and information cataloging and information extraction and modeling platforms to improve existing products and processes and to introduce new features.<\/li>\n<\/ul>\n","protected":false},"featured_media":11000,"template":"","meta":{"_acf_changed":false},"gruppo":[123],"class_list":["post-12696","projects","type-projects","status-publish","has-post-thumbnail","hentry","gruppo-data-intensive-computing-en"],"acf":{"title":"smArt Fusion For INdoor Environments","acronym":"AFFINE","project_uuid":"074ae79e-0949-11ef-8ceb-506b8da9258c","start_date":"01\/09\/2023","end_date":"31\/08\/2025","funder":"RAS - Sardegna Ricerche","partners":"\n<table style=\"width:100%; border-collapse: collapse;\">\n  <tr>\n    <th style=\"border: 1px solid #ddd; padding: 8px; background-color: #f2f2f2;\">Nome<\/th>\n    <th style=\"border: 1px solid #ddd; padding: 8px; background-color: #f2f2f2;\">Nazione<\/th>\n    <th style=\"border: 1px solid #ddd; padding: 8px; background-color: #f2f2f2;\">Ruolo<\/th>\n  <\/tr>\n\n  <tr>\n    <td style=\"border: 1px solid #ddd; padding: 8px;\"><a href=\"http:\/\/www.gexcel.it\/it\" target=\"_blank\">Gexcel Software Solutions<\/a><\/td>\n    <td style=\"border: 1px solid #ddd; padding: 8px;\">Italy<\/td>\n    <td style=\"border: 1px solid #ddd; padding: 8px;\">Coordinator<\/td>\n  <\/tr>\n<\/table>","proj_website":"","project_status":"Execution","project_coordinator":[{"ID":10088,"post_author":"4","post_date":"2025-06-30 17:25:19","post_date_gmt":"2025-06-30 15:25:19","post_content":"Project Leader and Senior Researcher at the Visual and Data Intensive Computing (VIDiC) group at CRS4, Giovanni Pintore specializes in advanced technologies for visual data processing and visualization.He holds a Master%u2019s Degree in Electronic Engineering (pre-reform system) from the University of Cagliari and a PhD in Information and Communication Technologies (ICT) from the University of A Coru\u00f1a (UDC).His research interests include:  Artificial intelligence for VR model generation from spherical images   Indoor scene reconstruction using deep learning techniques   3D reconstruction of indoor structures and environments from images   Multiresolution representations of large and complex 3D models  He leads national and international research and industrial projects, with applications in the fields of security, space exploration, and smart cities. He serves as program chair, editor, and reviewer for various international conferences and journals.","post_title":"Giovanni Pintore","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"giovanni-pintore","to_ping":"","pinged":"","post_modified":"2026-04-09 11:13:26","post_modified_gmt":"2026-04-09 09:13:26","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/giovanni-pintore\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}],"team_members":[{"ID":10233,"post_author":"4","post_date":"2025-06-30 17:23:13","post_date_gmt":"2025-06-30 15:23:13","post_content":"Enrico Gobbetti is the director of Visual and Data-intensive Computing (ViDiC) at the Center for Advanced Studies, Research, and Development in Sardinia (CRS4), Italy. He holds an Engineering degree (1989) and a Ph.D. degree (1993) in Computer Science from the Swiss Federal Institute of Technology in Lausanne (EPFL), as well as Full Professor Habilitations in Computer Science and Information Processing from the Italian Ministry of University and Research. Prior to joining CRS4, he held research and\/or teaching positions at the Swiss Federal Institute of Technology in Lausanne, the University of Maryland Baltimore County (UMBC), Baltimore MD, USA, and the Center of Excellence in Space Data and Information Sciences (NASA\/CESDIS), NASA Goddard Space Flight Center, Greenbelt MD, USA. At CRS4, Enrico develops and manages a research program in visual and data-intensive computing supported through institutional, industrial and government grants, including many national and international projects. His research spans many areas of visual and data-intensive computing and is widely published in major journals and conferences. The primary focus is the study and creation of innovative, intelligent, and scalable solutions for acquiring, creating, processing, distributing, exploring, and analyzing complex and\/or massive datasets derived from simulations or measurements of phenomena, objects, environments, or real-world processes. He regularly serves the scientific community through participation in editorial boards, program committees, working groups and steering boards, as well as through the organization and chairing of conferences. He is a Fellow of Eurographics.","post_title":"Enrico Gobbetti","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"enrico-gobbetti","to_ping":"","pinged":"","post_modified":"2026-04-09 11:11:27","post_modified_gmt":"2026-04-09 09:11:27","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/enrico-gobbetti\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":10283,"post_author":"4","post_date":"2025-06-30 17:24:15","post_date_gmt":"2025-06-30 15:24:15","post_content":"Fabio Marton is a researcher in the Visual Computing (ViC) group at the Center for Advanced Studies, Research, and Development in Sardinia (CRS4). He holds a Laurea (M. Sc.) degree (1999) in Computer Engineering from the University of Padova. His current research interests include out-of-core data processing, compression multiresolution modeling and time-critical rendering. He has participated as a key developer in industrial and research projects that have led to the development of state-of-the-art tools for large scale model rendering. He has co-authored papers in major international refereed journals and conferences, including SIGGRAPH, Eurographics, and IEEE Visualization. He has been EGPGV (Eurographics Symposium on Parallel Graphics) symposium chair (Cagliari, 2012) and paper co-chair (Girona, 2013). He is IPC member for Web3D from 2011. He serves as reviewer for international computer graphics journals and conferences. Before joining CRS4, he worked on 3D scanning at LMTT Padova and Optonet Brescia.","post_title":"Fabio Marton","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"fabio-marton","to_ping":"","pinged":"","post_modified":"2026-04-09 11:12:23","post_modified_gmt":"2026-04-09 09:12:23","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.crs4.it\/people\/fabio-marton\/","menu_order":0,"post_type":"people","post_mime_type":"","comment_count":"0","filter":"raw"}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AFFINE - CRS4<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.crs4.it\/en\/projects\/affine\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AFFINE - CRS4\" \/>\n<meta property=\"og:description\" content=\"The AFFINE project aims to synergistically use geometric and visual data acquired from different sensors to obtain, for the same amount of resources used for acquisition, extremely dense and geometrically much more detailed models, substantially improving the competitiveness of the digitization system, and making it ready for the demands of modern industrial and commercial applications. 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