From Reassembly to Object Completion

Παπαϊωάννου, Γεώργιος; Schreck, Tobias; Andreadis, Anthousis; Mavridis, Pavlos; Gregor, Robert J.; Sipiran, Ivan; Vardis, Konstantinos

doi:10.1145/3009905

Cited by 59 publications

(30 citation statements)

References 43 publications

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“…The classical way of fitting fracture surfaces is based on matching significant corresponding features characterizing the fracture surfaces of counter-fitting fragments [4,14,21]. These features are mostly detected and extracted using differential geometric techniques which are linearly sensitive to missing information, as has been clarified before in Section 1.…”

Section: Towards Fittingmentioning

confidence: 99%

Boundary Morphology for Hierarchical Simplification of Archaeological Fragments

ElNaghy

Dorst

2020

Mathematical Morphology - Theory and Applications

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When fitting archaeological artifacts, one would like to have a representation that simplifies fragments while preserving their complementarity. In this paper, we propose to employ the scale-spaces of mathematical morphology to hierarchically simplify potentially fitting fracture surfaces. We study the masking effect when morphological operations are applied to selected subsets of objects. Since fitting locally depends on the complementarity of fractures only, we introduce ‘Boundary Morphology’ on surfaces rather than volumes. Moreover, demonstrating the Lipschitz nature of the terracotta fractures informs our novel extrusion method to compute both closing and opening operations simultaneously. We also show that in this proposed representation the effects of abrasion and uncertainty are naturally bounded, justifying the morphological approach. This work is an extension of our contribution earlier published in the proceedings of ISMM2019 [10].

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Section: Towards Fittingmentioning

confidence: 99%

Boundary Morphology for Hierarchical Simplification of Archaeological Fragments

ElNaghy

Dorst

2020

Mathematical Morphology - Theory and Applications

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“…Up until recently this work was mostly carried out manually by heritage experts. The works of Adan et al, Gregor et al, and Papaioannou et al focus on digitally reassembling broken artefacts (Adán et al, 2012, Gregor et al, 2014, Papaioannou et al, 2017. Brown et al present a similar paper but focus on the reassembly of fresco paintings (Brown et al, 2012).…”

Section: Background and Related Workmentioning

confidence: 99%

Remote Sensing Data as Basis for the Modelling and Reassembly Of Dismantled Heritage Structures

Vincke

Bassier

Hernandez

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> Remote sensing techniques are invaluable for the documentation and preservation of built heritage. The techniques facilitate fast documentation of highly complex heritage structures with improved accuracies. Furthermore they improve the degree of detail substantially. This is extremely useful for the restoration of collapsed elements or the reassembly of dismantled structures. These entities are often challenging to puzzle back together. Moreover, the differential settlements of the elements over time heavily influence the relative position and orientation of the remaining pieces, further complicating the reconstruction. Digital modelling solutions with a 3D model of the current situation as take-off, are desperately needed by the industry to tackle the present obstacles. In this work, a framework is proposed that facilitates a more accurate reassembly of dismantled heritage elements. It consists of three major phases starting with the accurate recording of the current situation as well as the preserved components. Subsequently, the new design is dititally modelled, reducing the necessary time for the reassembly of the structure, which is the last step in the rebuilding workflow. The presented framework allows for an efficient and comprehensible reconstruction of the structure. A key aspect in the approach is the detection of missing components and the estimation of their dimensions for the production of accurate replicas. The potential is showcased by means of two case studies on the reassembly of flying buttresses and rib vaults of the Saint-James church in Leuven, Belgium, which is currently undergoing major stabilisation works. The presented approach allows heritage experts to gain better oversight over their reassembly project and work more efficiently.</p>

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“…The mesh model obtained with a structured light-based scanner yielded higher spatial resolution when compared to photogrammetry and Reflectance Transformation Imaging (RTI). Papaioannou et al [124] proposed to compute 3D shaped descriptors on the basis of geometric primitives and facet normals to automatically reassemble heritage objects from damaged fragments.…”

Section: Structured-light-based Approachesmentioning

confidence: 99%

An Overview of Innovative Heritage Deliverables Based on Remote Sensing Techniques

et al. 2018

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The documentation and information representation of heritage sites is rapidly evolving. With the advancements in remote sensing technology, increasingly more heritage projects look to integrate innovative sensor data into their workflows. Along with it, more complex analyses have become available which require highly detailed inputs. However, there is a gap in the current body of knowledge of how to transfer the outputs from innovative data acquisition workflows to a set of useful deliverables that can be used for analysis. In addition, current procedures are often restricted by proprietary software or require field specific knowledge. As a result, more data are being generated in heritage projects but the tools to process them are lacking. In this work, we focus on methods that convert the raw information from the data acquisition to a set of realistic data representations of heritage objects. The goal is to present the industry with a series of practical solutions that integrate innovative technologies but still closely relate to the current heritage documentation workflows. An extensive literature study was performed discussing the different methods along with their advantages and opportunities. In the practical study, four deliverables were defined: the use of orthomosaics, web-based viewers, watertight mesh geometry and content for serious games. Each section is provided with a detailed overview of the process and realistic test cases that heritage experts can use as a basis for their own applications. The implementations are applicable to any project and provide the necessary information to update existing documentation workflows. Overall, the ideology is to increase the access to innovative technologies, better communicate the data to the different stakeholders and improve the overall usefulness of the information.

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From Reassembly to Object Completion

Cited by 59 publications

References 43 publications

Boundary Morphology for Hierarchical Simplification of Archaeological Fragments

Boundary Morphology for Hierarchical Simplification of Archaeological Fragments

Remote Sensing Data as Basis for the Modelling and Reassembly Of Dismantled Heritage Structures

An Overview of Innovative Heritage Deliverables Based on Remote Sensing Techniques

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