Recent years have seen the development of many new ways for cultural heritage visualization; with the growing use of “Information and Communications Technology” (ICT) many 3D reconstructions, virtual tours and “Augmented Reality/Virtual Reality” (AR/VR) application has been developed to enrich the contents of museums, archeological sites and historical places. However, today only few cultural assets have an accurate 3D model with a detailed informative content. In fact, the costs due to the creation of virtual content are still high and they can be addressed only for the most iconic or important monuments. Inside this frame the project RECIPE (REsilience in art CIties: Planning for Emergencies) founded by ESA/ESTEC1 use a crowdsourcing approach, involving tourists and interested people, to acquire cheaply the photos necessary to create photogrammetric models. Such a models to be correctly used inside different level of recording and monitoring tasks, require developing procedure to evaluate their quality. This work discusses, with reference to a study case, only how to validate models by proposing a methodology based on dimensional and color error calculation together with structural indices, such as SSIM and PIQE. Besides to avoid influence generate by different cameras, focus and positioning in photos taken by tourists, the used photo data base has been produced with a professional device following the state of art rules in SfM. At least, it is also discussed the possibility to implement the 3D models in a virtual reality environment to increase their diffusion on new multimedia and interactive plat-forms.

Perceived Quality as Assessment Tool for the Test Case Amore e Psiche Domus in Ostia Antica / Pompei, Laura; Eletti, Oliviero; Gugliermetti, Luca; Gugliermetti, Franco; Ricciardi, Luciano; D'Angelo, Alessia; DE LIETO VOLLARO, Barbara. - (2019). (Intervento presentato al convegno CHNT 23, 2018 tenutosi a Vienna).

Perceived Quality as Assessment Tool for the Test Case Amore e Psiche Domus in Ostia Antica

POMPEI, LAURA
;
ELETTI, OLIVIERO;LUCA GUGLIERMETTI;FRANCO GUGLIERMETTI;RICCIARDI, LUCIANO;ALESSIA D’ANGELO;BARBARA DE LIETO VOLLARO
2019

Abstract

Recent years have seen the development of many new ways for cultural heritage visualization; with the growing use of “Information and Communications Technology” (ICT) many 3D reconstructions, virtual tours and “Augmented Reality/Virtual Reality” (AR/VR) application has been developed to enrich the contents of museums, archeological sites and historical places. However, today only few cultural assets have an accurate 3D model with a detailed informative content. In fact, the costs due to the creation of virtual content are still high and they can be addressed only for the most iconic or important monuments. Inside this frame the project RECIPE (REsilience in art CIties: Planning for Emergencies) founded by ESA/ESTEC1 use a crowdsourcing approach, involving tourists and interested people, to acquire cheaply the photos necessary to create photogrammetric models. Such a models to be correctly used inside different level of recording and monitoring tasks, require developing procedure to evaluate their quality. This work discusses, with reference to a study case, only how to validate models by proposing a methodology based on dimensional and color error calculation together with structural indices, such as SSIM and PIQE. Besides to avoid influence generate by different cameras, focus and positioning in photos taken by tourists, the used photo data base has been produced with a professional device following the state of art rules in SfM. At least, it is also discussed the possibility to implement the 3D models in a virtual reality environment to increase their diffusion on new multimedia and interactive plat-forms.
2019
CHNT 23, 2018
quality assessment; photogrammetry; structural similarity
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Perceived Quality as Assessment Tool for the Test Case Amore e Psiche Domus in Ostia Antica / Pompei, Laura; Eletti, Oliviero; Gugliermetti, Luca; Gugliermetti, Franco; Ricciardi, Luciano; D'Angelo, Alessia; DE LIETO VOLLARO, Barbara. - (2019). (Intervento presentato al convegno CHNT 23, 2018 tenutosi a Vienna).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1324946
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