Digital reproduction of historical building ornamental components: From 3D scanning to 3D printing

Xu, Jie; Ding, Lieyun; Love, Peter E.D.

doi:10.1016/j.autcon.2017.01.010

Cited by 140 publications

(82 citation statements)

References 26 publications

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“…We proved that such representations can be treated as genuine cartographic products. As mentioned in the beginning, the 3D-printed models created so far and described in the literature presented historical buildings [22,23] or pieces of art [24,25]. Our realistic 3D model developed with the use of 3D printers is the next step in the reconstruction of tangible cultural heritage.…”

Section: Discussionmentioning

confidence: 98%

“…To the best of our knowledge, there are no examples in the literature of papers focusing on realistic 3D models developed with the use of 3D printers that undertake the issue of printing accuracy analysis. We can find many examples of 3D printing usage to reconstruct tangible pieces of cultural heritage, such as historical buildings [22,23] or pieces of art [24,25], but research on using this technique to visualize, document or promote natural heritage is still at the beginning of its development.…”

Section: Introductionmentioning

confidence: 99%

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Natural Heritage Reconstruction Using Full-Color 3D Printing: A Case Study of the Valley of Five Polish Ponds

Wabínski

Mościcka

2019

Sustainability

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The research presented in this paper proposes a method for the development of photorealistic, physical terrain models using full-color 3D printing, along with an efficiency assessment (i.e., cartographic correctness). The rapid development of 3D printing technology in recent years has caused a growth in the number of solutions allowing the automatic or semi-automatic generation of digital terrain representations that can be then 3D printed. Unfortunately, most of these solutions do not consider cartographic principles and their products cannot be referred to as 3D maps. The methodology proposed in this paper takes into account issues related to proper cartographic design, so that highly reliable models can be created. The main challenges identified during the research include choosing the optimal pixel size for Digital Elevation Model (DEM) generation, which is used for landform representation, and integrating raster and vector data. Printing accuracy assessment is of high importance and, thus, a method for its implementation has been proposed. In order to verify the usability of the proposed methodology, the natural heritage site of the Valley of Five Polish Ponds, in the Tatra Mountains, Poland, has been chosen as the case study area. The results suggest that the proposed methodology can be successfully used for the preparation of highly accurate 3D maps that can be used for natural heritage documentation, promotion and visualization, as well as for the purposes of spatial planning and education.

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Section: Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Natural Heritage Reconstruction Using Full-Color 3D Printing: A Case Study of the Valley of Five Polish Ponds

Wabínski

Mościcka

2019

Sustainability

View full text Add to dashboard Cite

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“…The scanning-based model building relates to the 3D scanning equipment reversing solid objects into digital models (Baronio, Harran, & Signoroni, 2016;Xu, Ding, & Love, 2017). In the reverse engineering process, the geometric data is obtained by haptic technology or optical and laser devices, then acquired geometric data are reengineered and shifted into a 3D model by the software (Michaeli, DeGroff, & Roxas, 2017).…”

Section: Scanning-based Modelmentioning

confidence: 99%

Model Building and Slicing in Food 3D Printing Processes: A Review

Guo

Zhang

Bhandari

2019

Comp Rev Food Sci Food Safe

131

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Three‐dimensional (3D) printing has been successfully applied to food processing, and widely appreciated by food science researchers. Recently, a lot of researches and review works have been done focusing on the ink's properties, printer design, and printing parameters. However, few articles specifically describe 3D models and slicing methods used in food printing. This work introduced the requirements for 3D printing models in some specific areas, discussed the critical parameter settings in the model slicing processes, and discussed the possible use of numerical techniques in the model building and printing of food 3D printing. The objective of this review is to increase researchers' focus on 3D printing models and slices in order to optimize the printing process and to provide some useful information for future research.

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“…3D printing can produce customized objects [3,4] that can be realized by any merchant to personalize products for a consumer, meet quality expectations, and add personal refinements [5]. With the development of the Internet, 3D printing cloud services platform can provide integrated 3D printing services [6] to serve customers at all levels: from cloud-based 3D scanning of a physical model to personalized and/or customized products [7]. However, cloud-based point cloud data surface reconstruction from 3D scanned point clouds requires not only a low-complexity reconstruction algorithm to meet the high concurrency requirements of cloud service platforms but also the reconstruction of a lightweight mesh to meet the requirements of efficient and real-time data transmission in web environments [8].…”

Section: Introductionmentioning

confidence: 99%

A Lightweight Surface Reconstruction Method for Online 3D Scanning Point Cloud Data Oriented toward 3D Printing

Sheng

Zhao

Yin

et al. 2018

Mathematical Problems in Engineering

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The existing surface reconstruction algorithms currently reconstruct large amounts of mesh data. Consequently, many of these algorithms cannot meet the efficiency requirements of real-time data transmission in a web environment. This paper proposes a lightweight surface reconstruction method for online 3D scanned point cloud data oriented toward 3D printing. The proposed online lightweight surface reconstruction algorithm is composed of a point cloud update algorithm (PCU), a rapid iterative closest point algorithm (RICP), and an improved Poisson surface reconstruction algorithm (IPSR). The generated lightweight point cloud data are pretreated using an updating and rapid registration method. The Poisson surface reconstruction is also accomplished by a pretreatment to recompute the point cloud normal vectors; this approach is based on a least squares method, and the postprocessing of the PDE patch generation was based on biharmonic-like fourth-order PDEs, which effectively reduces the amount of reconstructed mesh data and improves the efficiency of the algorithm. This method was verified using an online personalized customization system that was developed with WebGL and oriented toward 3D printing. The experimental results indicate that this method can generate a lightweight 3D scanning mesh rapidly and efficiently in a web environment.

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Digital reproduction of historical building ornamental components: From 3D scanning to 3D printing

Cited by 140 publications

References 26 publications

Natural Heritage Reconstruction Using Full-Color 3D Printing: A Case Study of the Valley of Five Polish Ponds

Natural Heritage Reconstruction Using Full-Color 3D Printing: A Case Study of the Valley of Five Polish Ponds

Model Building and Slicing in Food 3D Printing Processes: A Review

A Lightweight Surface Reconstruction Method for Online 3D Scanning Point Cloud Data Oriented toward 3D Printing

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