Augmented reality techniques have recently found many applications in the field of cultural heritage. When used in outdoor scenarios, however, this technology can face several issues, mainly due to unstable light conditions, jeopardizing the users' experience. Various solutions to this problem have been proposed in the literature; however, none of them are fully effective. This paper introduces a solution based on a multi-block image target segmentation and a dedicated add-on for the Unity3D game engine. After tests in the lab, the solution was validated in a real scenario at Pinocchio Park (Collodi, Italy), using two different Augmented Reality (AR) libraries and comparing it to a standard methodology. Quantitative results show that the proposed approach provides superior performance and usability. Although the proposed solution is still open to improvement, it combines effectiveness and ease of implementation without any drawbacks.

Test and validation of a multi-block solution for improved tracking in outdoor scenarios: a case study in the Pinocchio Park

Magrini M;Matarese F;Moroni D
2022

Abstract

Augmented reality techniques have recently found many applications in the field of cultural heritage. When used in outdoor scenarios, however, this technology can face several issues, mainly due to unstable light conditions, jeopardizing the users' experience. Various solutions to this problem have been proposed in the literature; however, none of them are fully effective. This paper introduces a solution based on a multi-block image target segmentation and a dedicated add-on for the Unity3D game engine. After tests in the lab, the solution was validated in a real scenario at Pinocchio Park (Collodi, Italy), using two different Augmented Reality (AR) libraries and comparing it to a standard methodology. Quantitative results show that the proposed approach provides superior performance and usability. Although the proposed solution is still open to improvement, it combines effectiveness and ease of implementation without any drawbacks.
2022
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Augmented reality
Unity3D
Image tracking
Image recognition
File in questo prodotto:
File Dimensione Formato  
prod_471274-doc_191342.pdf

accesso aperto

Descrizione: Test and Validation of a Multi-Block Solution for Improved Tracking in Outdoor Scenarios: A Case Study in the Pinocchio Park
Tipologia: Versione Editoriale (PDF)
Dimensione 471.37 kB
Formato Adobe PDF
471.37 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/415404
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact