AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2025
Xing, Y.; Liu, Q.; Wang, J.; Gómez-Zará, D.
sMoRe: Spatial Mapping and Object Rendering Environment Proceedings Article
In: Int Conf Intell User Interfaces Proc IUI, pp. 115–119, Association for Computing Machinery, 2025, ISBN: 979-840071409-2 (ISBN).
Abstract | Links | BibTeX | Tags: Generative adversarial networks, Generative AI, Language Model, Large language model, large language models, Mapping, Mixed reality, Mixed-reality environment, Object rendering, Rendering (computer graphics), Space Manipulation, Spatial mapping, Spatial objects, Users' experiences, Virtual environments, Virtual objects
@inproceedings{xing_smore_2025,
title = {sMoRe: Spatial Mapping and Object Rendering Environment},
author = {Y. Xing and Q. Liu and J. Wang and D. Gómez-Zará},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105001670668&doi=10.1145%2f3708557.3716337&partnerID=40&md5=8ef4c5c4ef2b3ee30d00e4b8d19d19b8},
doi = {10.1145/3708557.3716337},
isbn = {979-840071409-2 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Int Conf Intell User Interfaces Proc IUI},
pages = {115–119},
publisher = {Association for Computing Machinery},
abstract = {In mixed reality (MR) environments, understanding space and creating virtual objects is crucial to providing an intuitive user experience. This paper introduces sMoRe (Spatial Mapping and Object Rendering Environment), an MR application that combines Generative AI (GenAI) to assist users in creating, placing, and managing virtual objects within physical spaces. sMoRe allows users to use voice or typed text commands to create and place virtual objects using GenAI while specifying spatial constraints. The system employs Large Language Models (LLMs) to interpret users’ commands, analyze the current scene, and identify optimal locations. Additionally, sMoRe integrates a text-to-3D generative model to dynamically create 3D objects based on users’ descriptions. Our user study demonstrates the effectiveness of sMoRe in enhancing user comprehension, interaction, and organization of the MR environment. © 2025 Copyright held by the owner/author(s).},
keywords = {Generative adversarial networks, Generative AI, Language Model, Large language model, large language models, Mapping, Mixed reality, Mixed-reality environment, Object rendering, Rendering (computer graphics), Space Manipulation, Spatial mapping, Spatial objects, Users' experiences, Virtual environments, Virtual objects},
pubstate = {published},
tppubtype = {inproceedings}
}
In mixed reality (MR) environments, understanding space and creating virtual objects is crucial to providing an intuitive user experience. This paper introduces sMoRe (Spatial Mapping and Object Rendering Environment), an MR application that combines Generative AI (GenAI) to assist users in creating, placing, and managing virtual objects within physical spaces. sMoRe allows users to use voice or typed text commands to create and place virtual objects using GenAI while specifying spatial constraints. The system employs Large Language Models (LLMs) to interpret users’ commands, analyze the current scene, and identify optimal locations. Additionally, sMoRe integrates a text-to-3D generative model to dynamically create 3D objects based on users’ descriptions. Our user study demonstrates the effectiveness of sMoRe in enhancing user comprehension, interaction, and organization of the MR environment. © 2025 Copyright held by the owner/author(s).
2010
Scianna, Andrea; Ammoscato, Alessio
3D gis data model using open source software Proceedings Article
In: A, Peled (Ed.): International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, pp. 120–125, International Society for Photogrammetry and Remote Sensing, 2010.
Abstract | Links | BibTeX | Tags: 3-dimensional modeling, 3D Modelling, Blending, Computer software, Data visualization, Database systems, Environmental database, Environmental Technology, Free and open source softwares, Geographic information systems, Geographical Information Systems, High level languages, HTTP, Internet, Internet browsers, Internet protocols, Interoperability, Maintenance, Mapping, Maps, Open source software, Open systems, Query languages, Research management, Social networking (online), Software engineering, Spatial, Technology, Three dimensional computer graphics, Three-dimensional data, Topological information, Topology, World Wide Web
@inproceedings{scianna_3d_2010,
title = {3D gis data model using open source software},
author = {Andrea Scianna and Alessio Ammoscato},
editor = {Peled A},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84880227655&partnerID=40&md5=502aa042af1693c18f34b5d74c4dd2bd},
year = {2010},
date = {2010-01-01},
booktitle = {International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives},
volume = {38},
pages = {120–125},
publisher = {International Society for Photogrammetry and Remote Sensing},
abstract = {Today many kinds of applications requires data containing actual three-dimensional data; fields like urban and town planning and pollution studies need 3D data, both for visualization purpose, as well as carry out many spatial analysis. This research-Management and use of distributed 3D data by open source Web-GIS software-is part of the Italian "PRIN 2007"∗ research project, aimed to build urban and suburban 3D models, and to interact with them using open source software only. Particularly free and open source software, used for the experimentation here shown, are Blender and PostGIS; the first one has been used to build and structure three-dimensional data, the second one for data allocation. These software interact using scripts, written in Python language. Buildings have been modeled upon the GIANT3D model (Geographical Interoperable Advanced Numerical Topological 3-Dimensional Model) developed in the research "PRIN 2004", regarding "Evolved structure of numerical cartography for Gis and Web-GIS". Python scripts, activated by Blender, allow to allocate data into a spatial database implemented through PostgreSQL and PostGis, that could be a remote database somewhere on the net; all geometrical and topological information, implemented in the 3D model, are so transferred in PostGIS. These information can be retrieved by Blender using other Python scripts, so Blender fully interacts with 3D data allocated in PostGIS. These data can be also accessed by many other clients, both directly using a database client, as using other protocols (like HTTP on the internet). Next step is to build an open source viewer, or a plugin for internet browsers, that allows client to visualize, explore and inquiry 3D model, retrieving data from database.},
keywords = {3-dimensional modeling, 3D Modelling, Blending, Computer software, Data visualization, Database systems, Environmental database, Environmental Technology, Free and open source softwares, Geographic information systems, Geographical Information Systems, High level languages, HTTP, Internet, Internet browsers, Internet protocols, Interoperability, Maintenance, Mapping, Maps, Open source software, Open systems, Query languages, Research management, Social networking (online), Software engineering, Spatial, Technology, Three dimensional computer graphics, Three-dimensional data, Topological information, Topology, World Wide Web},
pubstate = {published},
tppubtype = {inproceedings}
}
Today many kinds of applications requires data containing actual three-dimensional data; fields like urban and town planning and pollution studies need 3D data, both for visualization purpose, as well as carry out many spatial analysis. This research-Management and use of distributed 3D data by open source Web-GIS software-is part of the Italian "PRIN 2007"∗ research project, aimed to build urban and suburban 3D models, and to interact with them using open source software only. Particularly free and open source software, used for the experimentation here shown, are Blender and PostGIS; the first one has been used to build and structure three-dimensional data, the second one for data allocation. These software interact using scripts, written in Python language. Buildings have been modeled upon the GIANT3D model (Geographical Interoperable Advanced Numerical Topological 3-Dimensional Model) developed in the research "PRIN 2004", regarding "Evolved structure of numerical cartography for Gis and Web-GIS". Python scripts, activated by Blender, allow to allocate data into a spatial database implemented through PostgreSQL and PostGis, that could be a remote database somewhere on the net; all geometrical and topological information, implemented in the 3D model, are so transferred in PostGIS. These information can be retrieved by Blender using other Python scripts, so Blender fully interacts with 3D data allocated in PostGIS. These data can be also accessed by many other clients, both directly using a database client, as using other protocols (like HTTP on the internet). Next step is to build an open source viewer, or a plugin for internet browsers, that allows client to visualize, explore and inquiry 3D model, retrieving data from database.