scholarly journals DIGITIZING METHODS IN REGENERATION OF MASONRY CASTLES / SKAITMENINIMO METODAI MŪRINIŲ PILIŲ REGENERACIJOJE

10.3846/534 ◽  
2013 ◽  
Vol 5 (3) ◽  
pp. 296-301
Author(s):  
Inga Genytė

In monitoring, preservation and regeneration of masonry architectural heritage modern digital technologies increase performance speed and quality. In rehabilitation of masonry castles an important role is played by the digital technologies, such as laser scanning, photogrammetry, photography, two-dimensional design (2D) and three-dimensional design (3D). Fairly accurate view of the future and perceived space, restored interior and exterior details is created with the help of some or all of these technologies. Formation of the restored castle’s vision is also influenced by its urban environment, preserved authentic material and even modern heritage conservation theory. This article provides an overview of digitization techniques and their variations based on approved foreign materials and practices used in the process of masonry castles regeneration. Santrauka Siekiant išsaugoti, stebint ir regeneruojant mūrinės architektūros paveldą šiuolaikinių skaitmeninių technologijų naudojimas padidina veiklos spartą ir kokybę. Atgaivinant mūrines pilis svarbų vaidmenį atlieka skaitmeninės technologijos: lazerinis skenavimas, fotogrametrija, fotografija, dvimatis projektavimas (2D), trimatis projektavimas (3D). Pasitelkus keletą ar visas šias technologijas gana tiksliai sukuriamas būsimas vaizdas ir suvokiama erdvė, atkuriamos interjerų bei eksterjerų detalės. Atkuriamai pilies vizijai suformuoti turi įtakos urbanistinė aplinka, išlikusi autentiška medžiaga, šiuolaikinė paveldosaugos teorija. Šiame straipsnyje apžvelgiami mūro pilių regeneracijos procese naudotini skaitmeninimo metodai bei jų variacijos remiantis užsienyje aprobuota medžiaga ir praktika.

2013 ◽  
Vol 5 (3) ◽  
pp. 296-301
Author(s):  
Inga Genytė

In monitoring, preservation and regeneration of masonry architectural heritage modern digital technologies increase performance speed and quality. In rehabilitation of masonry castles an important role is played by the digital technologies, such as laser scanning, photogrammetry, photography, two-dimensional design (2D) and three-dimensional design (3D). Fairly accurate view of the future and perceived space, restored interior and exterior details is created with the help of some or all of these technologies. Formation of the restored castle’s vision is also influenced by its urban environment, preserved authentic material and even modern heritage conservation theory. This article provides an overview of digitization techniques and their variations based on approved foreign materials and practices used in the process of masonry castles regeneration.


Author(s):  
Saadet Armağan Güleç Korumaz ◽  
◽  
Büşra Kubiloğlu ◽  

3D Laser Scanning technologies have proven to be significant way to architectural documentation studies. Due to these facilities, the use of technology in architectural documentation have become widespread day by day. Thanks to these technologies it is possible to get high accuracy and intense data in a short time compared to conventional methods. Therefore, this technology has increased the content and quality of conservation practices. The technology is mainly aimed at obtaining a three-dimensional model or two-dimensional layouts from a dense and detailed point cloud. Terrestrial Laser Scanning (TLS) does not only support simple CAD-based conservation projects, but also allows obtaining high-resolution plane pictures, art tours, three-dimensional mesh models, and two-dimensional maps. Besides these possibilities, high accuracy data on the morphological properties of the documented object can be obtained as a result of the analyses including point cloud. On the other hand, the technology gives possibility data to be shared in different environments and filtered data can be used online. Thus, different disciplines are able to easily access information. These features of technology add a different dimension to the studies in the field of cultural heritage and contribute to the digitalization of the heritage. In the scope of this study, evaluations are made regarding the innovations and usage possibilities brought by TLS technology to architectural documentation field based on the cultural heritage samples. In addition, within the scope of the study, trials were made on field studies for parameters that will affect data quality, accuracy and speed. In addition, within the scope of the study, some tests were made on field studies for parameters affecting data quality, accuracy and speed. With the obtained results, evaluations have been made to increase the usage potential of the technology today.


Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1837 ◽  
Author(s):  
Fei Zhu ◽  
Yuchun Huang ◽  
Zizhu Tian ◽  
Yaowei Ma

Multiple two-dimensional laser rangefinders (LRFs) are applied in many applications like mobile robotics, autonomous vehicles, and three-dimensional reconstruction. The extrinsic calibration between LRFs is the first step to perform data fusion and practical application. In this paper, we proposed a simple method to calibrate LRFs based on a corner composed of three mutually perpendicular planes. In contrast to other methods that require a special pattern or assistance from other sensors, the trihedron corner needed in this method is common in daily environments. In practice, we can adjust the position of the LRFs to observe the corner until the laser scanning plane intersects with three planes of the corner. Then, we formed a Perspective-Three-Point problem to solve the position and orientation of each LRF at the common corner coordinate system. The method was validated with synthetic and real experiments, showing better performance than existing methods.


2016 ◽  
Vol 14 (1) ◽  
pp. 172988141667813 ◽  
Author(s):  
Xiaojun Wu ◽  
Zefei Li ◽  
Peizhi Wen

In order to improve the operational efficiency of robot-based shoe manufacturing, a method of shoe-groove tracking based on industrial robot is presented in the article. First, side surface of a shoe upper with a sole is scanned with a laser scanning device. The presented approach mainly consists of two steps: reconstruction of three-dimensional point cloud and feature curve extraction. It is difficult to extract the closed groove curve on shoe surface. We propose an innovative method to simplify the feature extraction through projecting geometric information from three dimension to two dimension, which is convenient to identify longest groove feature line in two-dimensional space. After detecting the two-dimensional groove line, we back project it to three-dimensional space to identify the three-dimensional thick groove point set. Finally, we thin and fit the groove curve into a trackable sequential curve. The experimental results show that the proposed system can effectively detect the shoe groove and generate trackable sequential curve. We also simulate the robot tracking process in a virtual environment to demonstrate the effectiveness of the presented method.


2013 ◽  
Vol 864-867 ◽  
pp. 2760-2763
Author(s):  
Zhi Liang Li ◽  
He Sheng Zhang ◽  
Qi Wu

This article is based on three-dimensional laser scanning technology for the modeling of a chemical plant piping, scanned point cloud data with a lot of blunders, comprehensive analysis of the point cloud handling characteristics and stage of maturity of two-dimensional graphics. As a result, a concept of transforming the point cloud data with three dimensional to two-dimensional is formed. Then, according to point and circle positional relationship in the same plane, derived an Algorithm about Gross Error Elimination, finally, programming and achieve it.


2021 ◽  
Vol 10 (88) ◽  

With the rapid advances in visual perception and processing technologies, it has become easier to create 3D models (three dimensional visuals that have width height and depth data) of objects by processing 2D (two dimensional images that have width and height data like photography) images obtained from real life with the help of certain algorithms. These systems, which convert from two-dimensional painting to three-dimensional model format, now describe and translate most objects correctly. Like photogrametry and laser scanning, is used to quickly transfer large areas to 3D media, especially with coating materials. 3D images obtained by scanning 2D images show differences in terms of the obtained model quality and polygon density. This system, which serves to obtain very fast 3D models, is frequently used in computer games development, digital art and production / cinema studies, painting, sculpting, ceramic and photography to obtain a spesific result. In the research, image-based 3D model creation technologies were mentioned. The types of this technology and its usage purposes, methods and problems are the topics of this article Also problems faced while engaging the models accured from this methods to other platforms are included in the article. In this context, the aim of the study is to recognize the new scanning modeling processes and algorithms supported by artificial intelligence and to determine the usage areas of these modeling techniques in art. Keywords: Art, 3D Model, A.I., LIDAR, Photogrametry, Digital Art


2012 ◽  
Vol 508 ◽  
pp. 16-20 ◽  
Author(s):  
Yan Yan He ◽  
Alan W. Roberts ◽  
Jan Dirk Prigge

Over the past 50 years, a strong foundation for the professional discipline of bulk solids handling has been provided, but so far, the theories for predicting funnel-flow are still quite empirical. In most cases, only two-dimensional stress field models are applied, which overestimate the stable pipe or rathole dimensions defining the core of the funnel and lead to draw-down and live capacity determinations, which are too conservative. More recently, Roberts [ introduced a new, more realistic, hoop stress theory based on the three-dimensional stress state occurring in a rathole. To verify the validity of the new theory, the current research upon which this paper is based, involves an experimental study of rathole formation in laboratory scale model funnel-flow bins and gravity reclaim stockpiles. A two-dimensional laser line scanner is used to depict rathole profiles, while load cells and pressure sensors are applied to determine instantaneous loads and pressure conditions during filling, storage and discharge. Iron ore fines are used as the test material, with the test program including flat-bottom bins with different diameters as well as varying filling levels and outlet diameters and stockpiles with variable heights and outlet diameters. The tests demonstrate the capability of laser scanning to describe rathole profiles. In addition, the suitability of the load cells and pressure sensors to describe the relevant funnel-flow parameters is shown.


Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 496 ◽  
Author(s):  
Zheng Sun ◽  
Yingying Zhang

Three-dimensional (3D) reconstruction using video frames extracted from spherical cameras introduces an innovative measurement method in narrow scenes of architectural heritage, but the accuracy of 3D models and their correlations with frame extraction ratios and blur filters are yet to be evaluated. This article addresses these issues for two narrow scenes of architectural heritage that are distinctive in layout, surface material, and lighting conditions. The videos captured with a hand-held spherical camera (30 frames per second) are extracted to frames with various ratios starting from 10 and increasing every 10 frames (10, 20, …, n). Two different blur assessment methods are employed for comparative analyses. Ground truth models obtained from terrestrial laser scanning and photogrammetry are employed for assessing the accuracy of 3D models from different groups. The results show that the relative accuracy (median absolute errors/object dimensions) of spherical-camera videogrammetry range from 1/500 to 1/2000, catering to the surveying and mapping of architectural heritage with medium accuracy and resolution. Sparser baselines (the length between neighboring image pairs) do not necessarily generate higher accuracy than those from denser baselines, and an optimal frame network should consider the essential completeness of complex components and potential degeneracy cases. Substituting blur frames with adjacent sharp frames could reduce global errors by 5–15%.


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