scholarly journals Large-Scale Micron-Order 3D Surface Correlative Imaging of Ancient Roman Concrete

2018 ◽  
Vol 24 (S1) ◽  
pp. 2130-2131
Author(s):  
Janille Maragh ◽  
James C. Weaver ◽  
Admir Masic
PLoS ONE ◽  
2019 ◽  
Vol 14 (2) ◽  
pp. e0210710 ◽  
Author(s):  
Janille M. Maragh ◽  
James C. Weaver ◽  
Admir Masic

Author(s):  
K. Davydova ◽  
G. Kuschk ◽  
L. Hoegner ◽  
P. Reinartz ◽  
U. Stilla

Texture mapping techniques are used to achieve a high degree of realism for computer generated large-scale and detailed 3D surface models by extracting the texture information from photographic images and applying it to the object surfaces. Due to the fact that a single image cannot capture all parts of the scene, a number of images should be taken. However, texturing the object surfaces from several images can lead to lighting variations between the neighboring texture fragments. In this paper we describe the creation of a textured 3D scene from overlapping aerial images using a Markov Random Field energy minimization framework. We aim to maximize the quality of the generated texture mosaic, preserving the resolution from the original images, and at the same time to minimize the seam visibilities between adjacent fragments. As input data we use a triangulated mesh of the city center of Munich and multiple camera views of the scene from different directions.


2020 ◽  
Vol 176 ◽  
pp. 2949-2958
Author(s):  
Kun Chen ◽  
Jingjing Wen ◽  
Jing Wu ◽  
Ze Ji

Author(s):  
G. J. Verhoeven

Since a few years, structure-from-motion and multi-view stereo pipelines have become omnipresent in the cultural heritage domain. The fact that such Image-Based Modelling (IBM) approaches are capable of providing a photo-realistic texture along the threedimensional (3D) digital surface geometry is often considered a unique selling point, certainly for those cases that aim for a visually pleasing result. However, this texture can very often also obscure the underlying geometrical details of the surface, making it very hard to assess the morphological features of the digitised artefact or scene. Instead of constantly switching between the textured and untextured version of the 3D surface model, this paper presents a new method to generate a morphology-enhanced colour texture for the 3D polymesh. The presented approach tries to overcome this switching between objects visualisations by fusing the original colour texture data with a specific depiction of the surface normals. Whether applied to the original 3D surface model or a lowresolution derivative, this newly generated texture does not solely convey the colours in a proper way but also enhances the smalland large-scale spatial and morphological features that are hard or impossible to perceive in the original textured model. In addition, the technique is very useful for low-end 3D viewers, since no additional memory and computing capacity are needed to convey relief details properly. Apart from simple visualisation purposes, the textured 3D models are now also better suited for on-surface interpretative mapping and the generation of line drawings.


2016 ◽  
Vol 16 (5) ◽  
pp. 27-33
Author(s):  
Na Li ◽  
Jiquan Yang ◽  
Aiqing Guo ◽  
Yijian Liu ◽  
Hai Liu

Abstract The aim of this paper is to address the surface reconstruction from point cloud in reverser engineering. The data was acquired through a 3D scan device and was processed as point cloud data. The points in cloud were connected to build 3D surface. The points cloud was processed in four steps to get 3D information surface. First, the subtraction scheme was used to get cover boxes ended with the set of convex was found under the convergence rule. Secondly, the points in the box were projected to the directions which were close to the normal direction method. Thirdly the overlap was avoided by using convergence rule and inner subdivision rule. Finally the information model was used to reconstruction. The method was used in landslide monitoring of Three Gorges area for 3D surface reconstruction and monitoring. The reconstruction method obtains high precision and low complexity. It is effective for large scale monitoring.


Author(s):  
Olga Plamenytska

The article highlights the results of the research of the Castle Bridge in Kamianets-Podilsky, which allowed to deepen the chronology of the bridge’s appearance back to the first centuries AD ‒ the age of Trajan’s Wars, and to insert the Castle Bridge into the context of fortification construction represented by the remains of the defense structures of the first centuries AD that were discovered in Kamianets-Podilsky in 1970 ‒1990. The search of architectural and construction analogues of the bridge has led to the reliefs depicted on the Trajan’s Column in Rome (113 AD), the analysis of which allowed, in its turn, to rebut the generally accepted by the world science attribution of one of the column’s reliefs (XCIX) as the depiction of the Bridge over Danube, constructed in 103‒105 by Apollodorus of Damascus during the Dacian Wars. The author suggest a new attribution of the image of this bridge on Trajan’s Column, interpreting one of the well-known reliefs as the depiction of the bridge (LXXXVI). She argues in favor of the fact that the Bridge over Danube was completely made of stone and had no wooden arches. It became the first attempt of Apollodorus of Damascus, the author of the dome of Pantheon in Rome, to apply the Roman concrete in arches on large-scale constructions. Using the reliefs of the column as analogy allowed the author to reconstruct the image of the bridge in Kamyanets-Podilsky for the period of the first centuries AD. The conducted researches also give grounds to consider the Middle Dniester region as a contact zone on the border of early-Slavic and late-Antique worlds.


2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Baoyun Guo ◽  
Jiawen Wang ◽  
Xiaobin Jiang ◽  
Cailin Li ◽  
Benya Su ◽  
...  

Due to the memory limitation and lack of computing power of consumer level computers, there is a need for suitable methods to achieve 3D surface reconstruction of large-scale point cloud data. A method based on the idea of divide and conquer approaches is proposed. Firstly, the kd-tree index was created for the point cloud data. Then, the Delaunay triangulation algorithm of multicore parallel computing was used to construct the point cloud data in the leaf nodes. Finally, the complete 3D mesh model was realized by constrained Delaunay tetrahedralization based on piecewise linear system and graph cut. The proposed method performed surface reconstruction on the point cloud in the multicore parallel computing architecture, in which memory release and reallocation were implemented to reduce the memory occupation and improve the running efficiency while ensuring the quality of the triangular mesh. The proposed algorithm was compared with two classical surface reconstruction algorithms using multigroup point cloud data, and the applicability experiment of the algorithm was carried out; the results verify the effectiveness and practicability of the proposed approach.


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