Semantic annotations on heritage models: 2D/3D approaches and future research challenges
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TLDR
This work is to discuss how semantic annotations are used, in digital architectural heritage models, to link the geometrical representation of an artefact with knowledge-related information.Abstract:
. Research in the field of Cultural Heritage is increasingly moving towards the creation of digital information systems, in which the geometric representation of an artifact is linked to some external information, through meaningful tags. The process of attributing additional and structured information to various elements in a given digital model is customarily identified with the term semantic annotation; the added contextual information is associated, for instance, to analysis and conservation terms. Starting from the existing literature, aim of this work is to discuss how semantic annotations are used, in digital architectural heritage models, to link the geometrical representation of an artefact with knowledge-related information. Most consolidated methods -such as traditional mapping on 2D media, are compared with more recent approaches making the most of 3D representation. Reference is made, in particular, to Heritage-BIM techniques and to collaborative reality-based platforms, such as Aioli (http://aioli.cloud). Potentialities and limits of the different solutions proposed in literature are critically discussed, also addressing future research challenges in Cultural Heritage application fields.read more
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From the Semantic Point Cloud to Heritage-Building Information Modeling: A Semiautomatic Approach Exploiting Machine Learning
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Combining Integrated Informative System and Historical Digital Twin for Maintenance and Preservation of Artistic Assets.
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Connecting geometry and semantics via artificial intelligence: from 3d classification of heritage data to h-bim representations
TL;DR: In this paper, a semi-automatically reconstructing parametric representations for H-BIM-related uses, by means of the most recent 3D data classification techniques that exploit Artificial Intelligence (AI).
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Propagation of semantic information between orthophoto and 3D replica: a H-BIM system for the north transept of Pisa Cathedral
TL;DR: The proposed approach provides a more effective system for the transfer and exchange of semantic information from high-resolution orthophotos to semantically rich 3D models, that can be fundamental even in view of the construction of Heritage-Building Information Modeling (H-BIM) environments.
References
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Journal Article
Automatic Reconstruction of As-Built Building Information Models from Laser-Scanned Point Clouds: A Review of Related Techniques | NIST
TL;DR: A survey of state-of-the-art methods for automated as-built BIM creation can be found in this article, where the main methods used by these algorithms for representing knowledge about shape, identity, and relationships.
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A review ofpoint clouds segmentation and classification algorithms
TL;DR: The most popular methodologies and algorithms to segment and classify 3D point clouds are analyzed to provide 3D data with meaningful attributes that characterize and provide significance to the objects represented in 3D.
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A Review of Heritage Building Information Modeling (H-BIM)
Facundo José López,Pedro Martín Lerones,José Llamas,Jaime Gómez-García-Bermejo,Eduardo Zalama +4 more
TL;DR: A review of the existing literature on H-BIM and its effective implementation in the cultural heritage sector, exploring the effectiveness and the usefulness of the different methodologies that were developed to model families of interest is presented in this article.
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From Point Clouds to Building Information Models: 3D Semi-Automatic Reconstruction of Indoors of Existing Buildings
TL;DR: In this paper, a semi-automatic approach is presented for the 3D reconstruction of indoor of existing buildings from point clouds, where several segmentations are performed so that point clouds corresponding to grounds, ceilings and walls are extracted.
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Historic Building Information Modelling: performance assessment for diagnosis-aided information modelling and management
TL;DR: A new methodology toward Diagnosis-Aided Historic Building Information Modelling and Management (DA-HBIMM) is proposed as a framework to be developed in order to address smart knowledge acquisition, collection and notification of assessed performances and eventual risks, by cognitive automation and artificial intelligence, in the near future.