Today, a wide range of domains encompassing, e.g., movie and video game production, virtual reality simulations, augmented reality applications, make a massive use of 3D computer generated assets. Although many graphics suites already offer a large set of tools and functionalities to manage the creation of such contents, they are usually characterized by a steep learning curve. This aspect could make it difficult for non-expert users to create 3D scenes for, e.g., sharing their ideas or for prototyping purposes. This paper presents a computer-based system that is able to generate a possible reconstruction of a 3D scene depicted in a 2D image, by inferring objects, materials, textures, lights, and camera required for rendering. The integration of the proposed system into a well known graphics suite enables further refinements of the generated scene using traditional techniques. Moreover, the system allows the users to explore the scene into an immersive virtual environment for better understanding the current objects’ layout, and provides the possibility to convey emotions through specific aspects of the generated scene. The paper also reports the results of a user study that was carried out to evaluate the usability of the proposed system from different perspectives.
Automatic generation of affective 3D virtual environments from 2D images / Cannavo', Alberto; D'Alessandro, Arianna; Daniele, Maglione; Marullo, Giorgia; Congyi, Zhang; Lamberti, Fabrizio. - STAMPA. - (2020), pp. 113-124. (Intervento presentato al convegno 15th International Conference on Computer Graphics Theory and Applications (GRAPP 2020) tenutosi a Valletta, Malta nel February 27-29, 2020) [10.5220/0008951301130124].
Automatic generation of affective 3D virtual environments from 2D images
Alberto Cannavò;D'ALESSANDRO, ARIANNA;Giorgia Marullo;Fabrizio Lamberti
2020
Abstract
Today, a wide range of domains encompassing, e.g., movie and video game production, virtual reality simulations, augmented reality applications, make a massive use of 3D computer generated assets. Although many graphics suites already offer a large set of tools and functionalities to manage the creation of such contents, they are usually characterized by a steep learning curve. This aspect could make it difficult for non-expert users to create 3D scenes for, e.g., sharing their ideas or for prototyping purposes. This paper presents a computer-based system that is able to generate a possible reconstruction of a 3D scene depicted in a 2D image, by inferring objects, materials, textures, lights, and camera required for rendering. The integration of the proposed system into a well known graphics suite enables further refinements of the generated scene using traditional techniques. Moreover, the system allows the users to explore the scene into an immersive virtual environment for better understanding the current objects’ layout, and provides the possibility to convey emotions through specific aspects of the generated scene. The paper also reports the results of a user study that was carried out to evaluate the usability of the proposed system from different perspectives.File | Dimensione | Formato | |
---|---|---|---|
VISIGRAPP_2020_Volume_1_-_GRAPP paper only_compressed.pdf
non disponibili
Descrizione: Post-print versione editoriale
Tipologia:
2a Post-print versione editoriale / Version of Record
Licenza:
Non Pubblico - Accesso privato/ristretto
Dimensione
237.26 kB
Formato
Adobe PDF
|
237.26 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
authors copy accepted paper Automatic Generation of Affective 3D Virtual Environments from 2D Images_compressed.pdf
accesso aperto
Descrizione: Post-print author's version
Tipologia:
2. Post-print / Author's Accepted Manuscript
Licenza:
PUBBLICO - Tutti i diritti riservati
Dimensione
440.27 kB
Formato
Adobe PDF
|
440.27 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2773852