A Polynomial Function in the Automatic Reconstruction of Fragmented Objects

Rasheed, Nada A.; Nordin, Jan

doi:10.3844/jcssp.2014.2339.2348

Cited by 8 publications

(10 citation statements)

References 13 publications

(11 reference statements)

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“…Generally, edges are considered an important feature for image analysis and computer vision [15] because they reflect useful information about the orientation and location of each edge point [16]. One of the first steps archaeological workers undertake when trying to assemble fragments is to match the edges of the fragments, that is, to extract its geometric features [17]. Next, they take the edges of the fragments into consideration and examine their textures.…”

Section: System Overviewmentioning

confidence: 99%

Reconstruction algorithm for archaeological fragments using slope features

Rasheed

Nordin

2020

ETRI Journal

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The reconstruction of archaeological fragments in 3D geometry is an important problem in pattern recognition and computer vision. Therefore, we implement an algorithm with the help of a 3D model to perform reconstruction from the real datasets using the slope features. This approach avoids the problem of gaps created through the loss of parts of the artifacts. Therefore, the aim of this study is to assemble the object without previous knowledge about the form of the original object. We utilize the edges of the fragments as an important feature in reconstructing the objects and apply multiple procedures to extract the 3D edge points. In order to assign the positions of the unknown parts that are supposed to match, the contour must be divided into four parts. Furthermore, to classify the fragments under reconstruction, we apply a backpropagation neural network. We test the algorithm on several models of ceramic fragments. It achieves highly accurate results in reconstructing the objects into their original forms, in spite of absent pieces.

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Section: System Overviewmentioning

confidence: 99%

Reconstruction algorithm for archaeological fragments using slope features

Rasheed

Nordin

2020

ETRI Journal

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“…A new method to reconstruct pottery from archaeological fragments based on a polynomial function is presented by Rasheed & Nordin (2014). The proposed method consists of five: the first one is the image acquisition by the camera, followed by the pre-processing to improve the robustness of the extracted features.…”

Section: Performed Studies From 2010 To 2019mentioning

confidence: 99%

“…Local matching of fragments and global strategy for full assembly (Son et al, 2013). 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%

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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“…From the direct experience of the authors, the process to get a valid discrete geometric model requires, for each sherd, a mean time of about 30 min. To overcome this limitation, another type of study on fragments' classification was proposed by Rasheed and Nordin [29]. They focused on an approach based on edge detection from 2D images of the sherd and the polynomial function algorithm.…”

Section: Introductionmentioning

confidence: 99%

A Semi-Automatic Reconstruction of Archaeological Pottery Fragments from 2D Images Using Wavelet Transformation

et al. 2021

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The problem of matching fragments of three-dimensional (3D) objects has gained increasing attention, and several approaches have been developed to solve this problem. To date, however, to the best knowledge of the authors, there is no computer-based method supporting archaeologists in this activity. For this purpose, in this paper, a semi-automatic approach is proposed for the reconstruction of archaeological pottery fragments based on two-dimensional (2D) images. Firstly, the method, considering the curves as features, involves the extraction of edge curves by applying the Canny filter algorithm to the fragments’ image. Next, the wavelet transformation method is used to fit the edge curves and obtain the approximation coefficients. Then, the correlation coefficients between fragments are computed and the matching of fragments is done by comparing their values. The proposed approach is tested on some real cases. The results of the experimentation show, if compared with the state-of-the-art, that the method seems to be efficient and accurate in the reconstruction of pottery from 2D images of their fragments.

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A Polynomial Function in the Automatic Reconstruction of Fragmented Objects

Cited by 8 publications

References 13 publications

Reconstruction algorithm for archaeological fragments using slope features

Reconstruction algorithm for archaeological fragments using slope features

Review of computer-based methods for archaeological ceramic sherds reconstruction

A Semi-Automatic Reconstruction of Archaeological Pottery Fragments from 2D Images Using Wavelet Transformation

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