Mending broken vessels a fusion between color markings and anchor points on surface breaks

Cohen, Fernand S.; Zhang, Zhongchuan; Liu, Zexi

doi:10.1007/s11042-014-2190-0

Cited by 5 publications

(5 citation statements)

References 33 publications

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“…So this is the key step in determining the value of .The current state of a single fragment can be expressed by a vector , where is a variable of optimizing and the objective function. The results were influenced by edge features, geometric features, texture features and the knowledge of the archaeologist 26 .…”

Section: Comparison Of Artificial Intelligence Algorithms and Fragment Global Pairings Based On Improved Asfamentioning

confidence: 99%

“…Their method utilizes the texture and color characteristics of the vessel fragments as well as other factors including expert historical knowledge of the period, site location, and provenance of the artifact. Cohen 6 presented a theory for automatically reconstructing fragments. Their system completes the reconstruction by first segmenting the fragments into a set of faces bounded by sharp curves, then computing multi-scale surface characteristics, and pairings based on techniques of forwarding search and surface consistency.…”

Section: Introductionmentioning

confidence: 99%

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Application of Three-Dimensional Laser Scanning in the Protection of Multi-Dynasty Ceramic Fragments

et al. 2020

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The number of fragments and the variety of primitive cultural relics unearthed in archaeology, especially the mixed fragments of several dynasties unearthed in Qinglong town, Shanghai, pose a great challenge to the manual splicing. The traditional manual comparison method is easy to cause the second damage to the cultural relics. In this paper, the edge feature is extracted based on removing the noise of point cloud, a bilateral filtering point cloud denoising algorithm based on salient features is proposed. By changing the step size and field of view, the Improved Artificial Fish Swarm Algorithm is used to get the matching strategy, and the point cloud is used to reconstruct 3D model by the Dual Quaternion Transformation method. The pairing of fragments and virtual reconstruction can effectively avoid the secondary damage of cultural relic fragments. It provides a feasible artificial intelligence solution for the protection and restoration of similar archaeological excavations.

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Section: Comparison Of Artificial Intelligence Algorithms and Fragment Global Pairings Based On Improved Asfamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of Three-Dimensional Laser Scanning in the Protection of Multi-Dynasty Ceramic Fragments

et al. 2020

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“…In the unsupervised ones, there is no previous information about the original objects. So, the classification is conducted based on the similarities between features that describe the fragments to be analyzed and the corresponding ones of pottery databases (Cohen et al, 2016;Maiza & Gaildrat, 2005;Rasheed & Nordin, 2018;Toler-Franklin et al, 2010). Figure 5 shows the usage percentages of the two classification approaches used in the analyzed methods.…”

Section: Data Acquisition and Preprocessingmentioning

confidence: 99%

“…In the first category, most of the studies were discussed just about the reconstruction for the pairwise of fragments (Andrews & Laidlaw, 2002;Rasheed & Nordin, 2014, 2015. The methods belonging to the second category perform the full reconstruction of the object from their pieces (Cohen et al, 2016;Huang et al, 2006;Kashihara, 2017;Papaioannou et al, 2002).…”

Section: Data Acquisition and Preprocessingmentioning

confidence: 99%

“…Through the review of the mentioned studies, it was evident that an optimization algorithm was commonly used for matching fragments. The most used methods are the meta-heuristic (Genetic, Simulated Annealing, and Greedy strategy) and iterative methods (Andrews & Laidlaw, 2002;Cohen et al, 2016;Kashihara, 2012Kashihara, , 2017Papaioannou et al, 2000). Some other researchers have proposed methods estimating the similarities between fragments based on the Bayesian approach and Maximum Likelihood Estimation (Cao & Mumford, 2002;Cooper et al, 2001;Kampel & Mara, 2005;Willis & Cooper, 2004).…”

Section: Data Acquisition and Preprocessingmentioning

confidence: 99%

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Review of computer-based methods for archaeological ceramic sherds reconstruction

Eslami

Angelo

Stefano

et al. 2020

Virtual archaeol. rev.

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Potteries are the most numerous finds found in archaeological excavations; they are often used to get information about the history, economy, and art of a site. Archaeologists rarely find complete vases but, generally, damaged and in fragments, often mixed with other pottery groups. By using the traditional manual method, the analysis and reconstruction of sherds are performed by a skilled operator. Reviewed papers provided evidence that the traditional method is not reproducible, not repeatable, time-consuming and its results have great uncertainties. To overcome the aforementioned limits, in the last years, researchers have made efforts to develop computer-based methods for archaeological ceramic sherds analysis, aimed at their reconstruction. To contribute to this field of study, in this paper, a comprehensive analysis of the most important available publications until the end of 2019 is presented. This study, focused on pottery fragments only, is performed by collecting papers in English by the Scopus database using the following keywords: “computer methods in archaeology", "3D archaeology", "3D reconstruction", "automatic feature recognition and reconstruction", "restoration of pottery shape relics”. The list is completed by additional references found through the reading of selected papers. The 53 selected papers are divided into three periods of time. According to a detailed review of the performed studies, the key elements of each analyzed method are listed based on data acquisition tools, features extracted, classification processes, and matching techniques. Finally, to overcome the actual gaps some recommendations for future researches are proposed.Highlights:<ul><li>The traditional manual method for reassembling sherds is very time-consuming and costly; it also requires a great deal effort from skilled archaeologists in repetitive and routine activities.</li><li>Computer-based methods for archaeological ceramic sherds reconstruction can help archaeologists in the above-mentioned repetitive and routine activities.</li><li>In this paper, the state-of-the-art computer-based methods for archaeological ceramic sherds reconstruction are reviewed, and some recommendations for future researches are proposed.</li></ul>

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Extended Gaussian sphere and similarity fusion method for reassembly of 3D cultural relics

Sun

Ding

Zhu

et al. 2020

Multimed Tools Appl

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Mending broken vessels a fusion between color markings and anchor points on surface breaks

Cited by 5 publications

References 33 publications

Application of Three-Dimensional Laser Scanning in the Protection of Multi-Dynasty Ceramic Fragments

Application of Three-Dimensional Laser Scanning in the Protection of Multi-Dynasty Ceramic Fragments

Review of computer-based methods for archaeological ceramic sherds reconstruction

Extended Gaussian sphere and similarity fusion method for reassembly of 3D cultural relics

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