Combining Image Targets and SLAM for AR-Based Cultural Heritage Fruition

Sernani, Paolo; Angeloni, Renato; Dragoni, Aldo Franco; Quattrini, Ramona; Clini, Paolo

doi:10.1007/978-3-030-25999-0_17

Cited by 6 publications

(5 citation statements)

References 16 publications

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“…Alternatively, a computer vision algorithm which is often used in MAR to map and track environments is SLAM, where sensor data from mobile devices such as gyroscopes and accelerometers are used to achieve reliable tracking [179]. Sernani et al [212] use SLAM for a self-contained tourism AR application, where SLAM localisation allows the system to locate the user's orientation and assists in the superposition of arrows and icons to guide user's attention in an environment. On the other hand, Rambach et al [193] investigate the usage of model-based tracking as an alternative to SLAM tracking as extracting real-world scale information and displaying object specific AR content may not always be possible with SLAM.…”

Section: Object Recognition Object Classificationmentioning

confidence: 99%

Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence

Cao,

Lam,

Lee

et al. 2021

Preprint

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Mobile Augmented Reality (MAR) integrates computer-generated virtual objects with physical environments for mobile devices. MAR systems enable users to interact with MAR devices, such as smartphones and headworn wearables, and performs seamless transitions from the physical world to a mixed world with digital entities. These MAR systems support user experiences by using MAR devices to provide universal accessibility to digital contents. Over the past 20 years, a number of MAR systems have been developed, however, the studies and design of MAR frameworks have not yet been systematically reviewed from the perspective of user-centric design. This article presents the first effort of surveying existing MAR frameworks (count: 37) and further discusses the latest studies on MAR through a top-down approach: (1) MAR applications; (2) MAR visualisation techniques adaptive to user mobility and contexts; (3) systematic evaluation of MAR frameworks including supported platforms and corresponding features such as tracking, feature extraction plus sensing capabilities; and (4) underlying machine learning approaches supporting intelligent operations within MAR systems. Finally, we summarise the development of emerging research fields, current state-of-the-art, and discuss the important open challenges and possible theoretical and technical directions. This survey aims to benefit both researchers and MAR system developers alike. CCS Concepts: • Human-centered computing → Mixed / augmented reality; Graphical user interfaces; • Software and its engineering → Development frameworks and environments; • Computing methodologies → Machine learning approaches.

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Section: Object Recognition Object Classificationmentioning

confidence: 99%

Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence

Cao,

Lam,

Lee

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The main problem was in the transformation of BIM files into different formats for the visualisation that results in information loss. Sernani, Angeloni, Dragoni, Quattrini, & Clini (2019) proposed the development of an AR app integrating image targets and SLAM to support and guide a visitor in the fruition of the "Studiolo" inside the "Palazzo Ducale" in Urbino, Italy. image targets are used to recognize the Points of Interest (POIs) and the SLAM to perform the object tracking and achieve a reliable immersive userexperience.…”

Section: Figure 11mentioning

confidence: 99%

“…In the cultural heritage applications, AR was adopted as early as 2001 with the ARCHEOGUIDE project (Vlahakis et al, 2001). AR allows the visualisation of no longer existing elements destroyed by human action or natural disasters, or, on the contrary, to hide successive addition revealing the original appearance of the investigated item (Leach et al, 2018;Sernani, Angeloni, Dragoni, Quattrini, & Clini, 2019).…”

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confidence: 99%

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Heritage Buildings Representation and Extended Realities

Khalil

Stravoravdis

2021

Proceedings ARQUEOLÓGICA 2.0 - 9th International Congress &Amp; 3rd GEORES - GEOmatics and pREServation

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Architectural visualisation has been developing over the year to improve the representation buildings and their contexts to the public. It achieved a long journey from manual drawings to photography to digital 2D and 3D representation, until it reached the era of extended realities (XR), which allowed unprecedented immersive and interactive engagement. Extended reality applications represent a unique opportunity for the visualisation of heritage buildings on many stages; from the early design phase, through the construction and facility management phases, to the education and cultural tourism applications. This paper aims to explore the wide range of state of the art XR applications, investigate their aspects and variations, and study their potentials, challenges and limitations for the built heritage sector.

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