A Discrete Approach for Pairwise Matching of Archaeological Fragments

This study proposes a blocks matching method based on contour curves and feature regions that improve the matching precision and speed with which rigid blocks with a specified thickness in point clouds are matched. The method comprises two steps: coarse matching and fine matching. In the coarse matching step, the rigid blocks are first segmented into a series of surfaces and the fracture surfaces are distinguished. Then, the contour curves of the fracture surfaces are extracted using an improved boundary growth method and the rigid blocks are coarsely matched with them. In the fine matching step, feature regions are first extracted from the fracture surfaces. Then, the centroid of each feature region is calculated and the fine matching of rigid blocks with the centroid sets is completed using an improved iterative closest point (ICP) algorithm. The improved ICP algorithm integrates the rotation angle constraint and dynamic iteration coefficient into a probability ICP algorithm, which significantly improves matching precision and speed. Experiments conducted using public blocks and Terracotta Warriors blocks indicate that the proposed method carries out rigid blocks matching more accurately and rapidly than various conventional methods.

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“…Step 3: Calculate the centroid sets of the feature regions using (10) and denote the sets as M i and D j , respectively.…”

Section: Fine Matching Methods Of Rigid Blocksmentioning

confidence: 99%

Rigid blocks matching method based on contour curves and feature regions

Zhao

Zhou

Geng

et al. 2017

IET Computer Vision

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“…These techniques are more well-suited for flat fresco fragments or non-abraded fracture surfaces. (Vendrell-Vidal and Sánchez-Belenguer, 2014) present a discrete pairwise approach for registering flat fresco fragments. Their method performs a hierarchical search strategy that minimizes a cost function which only focuses on the contour of fragments, instead of the inner local patches.…”

Section: Pairwise Alignment In Literaturementioning

confidence: 99%

Pairwise Alignment of Archaeological Fragments Through Morphological Characterization of Fracture Surfaces

ElNaghy

Dorst

2022

Int J Comput Vis

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We design a computational method to align pairs of counter-fitting fracture surfaces of digitized archaeological artefacts. The challenge is to achieve an accurate fit, even though the data is inherently lacking material through abrasion, missing geometry of the counterparts, and may have been acquired by different scanning practices. We propose to use the non-linear complementarity-preserving properties of Mathematical Morphology to guide the pairwise fitting in a manner inherently insensitive to these aspects. In our approach, the fracture surface is tightly bounded by a concise set of characteristic multi-local morphological features. Such features and their descriptors are computed by analysing the discrete distance transform and its causal scale-space information. This compact morphological representation provides the information required for accurately aligning the fracture surfaces through applying a RANSAC-based algorithm incorporating weighted Procrustes to the morphological features, followed by ICP on morphologically selected ‘flank’ regions. We propose new criteria for evaluating the resulting pairwise alignment quality, taking into consideration both penetration and gap regions. Careful quantitative evaluation on real terracotta fragments confirms the accuracy of our method under the expected archaeological noise. We show that our morphological method outperforms a recent linear pairwise alignment method and briefly discuss our limitations and the effects of variations in digitization and abrasion on our proposed alignment technique.

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“…In the last years two main categories emerged from the panorama of scientific papers centred on these themes: the first approach focuses on the integration of different cultural and technical knowledge ranging from archaeology, philology, restoration, computer science, digital surveying, 3D modelling (Thuswaldner et al, 2009; Ippolito, 2015; Canciani et al, 2013, while the second mainly deals with the exclusive use of formal features to drive automatic matching among scattered and fragmented elements of decoration and masonry in general (Vendrell-Vidal and Sánchez-Belenguer, 2014). In short, the interdisciplinary methodology used in this research, examined in depth in the following sections, is as follows: -Determination of the radius of curvature obtained by the arithmetic mean of the radii extracted from the traces of the ancient masonry of the global model; -Determination of the radius of curvature obtained by the arithmetic mean of the radii extracted from various sections of the analysed friezes; -Comparison between the two radii of curvature.…”

Section: Figure 1 Overall View Of the Maritime Theatrementioning

confidence: 99%

GUIDELINES FOR A DIGITAL REINTERPRETATION OF ARCHITECTURAL RESTORATION WORK: REALITY-BASED MODELS AND REVERSE MODELLING TECHNIQUES APPLIED TO THE ARCHITECTURAL DECORATION OF THE TEATRO MARITTIMO, VILLA ADRIANA

Adembri

Cipriani

Bertacchi

2017

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

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ABSTRACT:The Maritime Theatre is one of the iconic buildings of Hadrian's Villa, Tivoli. The state of conservation of the theatre is not only the result of weathering over time, but also due to restoration work carried out during the Fifties of the past century. Although this anastylosis process had the virtue of partially restoring a few of the fragments of the compound's original image, it now reveals diverse inconsistencies and genuine errors in the reassembling of the fragments. This study aims at carrying out a digital reinterpretation of the restoration of the architectural fragments in relation to the architectural order, with particular reference to the miscellaneous decoration of the frieze of the Teatro Marittimo (vestibule and atrium). Over the course of the last few years the Teatro Marittimo has been the target of numerous surveying campaigns using digital methodology (laser scanner and photogrammetry SfM/MVS). Starting with the study of the remains of the opus caementicium on the ground, it is possible to identify surfaces which are then used in the model for subsequent cross sections, so as to achieve the best fitting circumferences to use as reference points to put the fragments back into place.

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A Discrete Approach for Pairwise Matching of Archaeological Fragments

Cited by 22 publications

References 30 publications

Rigid blocks matching method based on contour curves and feature regions

Rigid blocks matching method based on contour curves and feature regions

Pairwise Alignment of Archaeological Fragments Through Morphological Characterization of Fracture Surfaces

GUIDELINES FOR A DIGITAL REINTERPRETATION OF ARCHITECTURAL RESTORATION WORK: REALITY-BASED MODELS AND REVERSE MODELLING TECHNIQUES APPLIED TO THE ARCHITECTURAL DECORATION OF THE TEATRO MARITTIMO, VILLA ADRIANA

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