scholarly journals Modeling of UTHM (Pagoh): 3D Building Models in Google Earth Utilizing Sketch Up

The main argument is shifting from 2D to 3D is in the beginning stages and creating 3D building is not trivial but a complex process. 3D building can be combined with the maps on Google Earth to provide geological knowledge. The location details in Google Map in Satellite view are not up to date. The map’s image shown in 2D mapping modelling should be substituted by 3D modelling to provide clearer visual view of the location. The main objective in this project is to construct an interactive 3D model of UTHM campus Pagoh that provide latest information about the developed building in UTHM Pagoh on Google Earth. Unmanned Aerial Vehicles (UAV) has to be launced to collect footage of UTHM campus Pagoh and continue 3D modeling by using SketchUp software. Sketch up is one of the modelling software that employed to construct 3D building. The building of UTHM campus Pagoh models is presented in visual video. Lastly, 3D building was merged onto Google Earth and a visualization video is made to demonstrate the UTHM campus Pagoh in the context of real life scene.

Author(s):  
L. Inzerillo ◽  
F. Leto Barone ◽  
R. Roberts

<p><strong>Abstract.</strong> This paper presents a pipeline that aims at illustrating the procedure to realize a 3D model of a complex building integrating the UAV and terrestrial images and modifying the 3D model in order to publish to Google Earth in an interactive modality so as to provide better available models for visualization and use. The main steps of the procedure are the optimization of the UAV flight, the integration of the different UAV and ground floor images and the optimization of the model to be published to GE. The case study has been identified in a building, The Eremo di Santa Rosalia Convent in Sicily which hash more staggered elevations and located in the hills of the hinterland and of which, the online platform only indicate the position on Google Maps (GM) and Google Earth (GE) with a photo from above and a non-urban road whose GM path is not corresponding with the GE photo. The process highlights the integration of the models and showcases a workflow for the publication of the combined 3D model to the GE platform. </p>


2019 ◽  
Vol 20 (S19) ◽  
Author(s):  
Bee Guan Teo ◽  
Sarinder Kaur Dhillon

Abstract Background Studying structural and functional morphology of small organisms such as monogenean, is difficult due to the lack of visualization in three dimensions. One possible way to resolve this visualization issue is to create digital 3D models which may aid researchers in studying morphology and function of the monogenean. However, the development of 3D models is a tedious procedure as one will have to repeat an entire complicated modelling process for every new target 3D shape using a comprehensive 3D modelling software. This study was designed to develop an alternative 3D modelling approach to build 3D models of monogenean anchors, which can be used to understand these morphological structures in three dimensions. This alternative 3D modelling approach is aimed to avoid repeating the tedious modelling procedure for every single target 3D model from scratch. Result An automated 3D modeling pipeline empowered by an Artificial Neural Network (ANN) was developed. This automated 3D modelling pipeline enables automated deformation of a generic 3D model of monogenean anchor into another target 3D anchor. The 3D modelling pipeline empowered by ANN has managed to automate the generation of the 8 target 3D models (representing 8 species: Dactylogyrus primaries, Pellucidhaptor merus, Dactylogyrus falcatus, Dactylogyrus vastator, Dactylogyrus pterocleidus, Dactylogyrus falciunguis, Chauhanellus auriculatum and Chauhanellus caelatus) of monogenean anchor from the respective 2D illustrations input without repeating the tedious modelling procedure. Conclusions Despite some constraints and limitation, the automated 3D modelling pipeline developed in this study has demonstrated a working idea of application of machine learning approach in a 3D modelling work. This study has not only developed an automated 3D modelling pipeline but also has demonstrated a cross-disciplinary research design that integrates machine learning into a specific domain of study such as 3D modelling of the biological structures.


2011 ◽  
Vol 24 (2) ◽  
pp. 257-270 ◽  
Author(s):  
Vladan Vuckovic ◽  
Nikola Stojanovic

This paper presents the basic principles of the mathematical 3D modeling and simulation of the Tesla's wireless controlled moving vehicle Tesla boat. This is one of the most complex Tesla's inventions. We have constructed detailed 3D model of the invention and added most of the functionality to the model according to the original patent.


Author(s):  
A. A. Diakité ◽  
S. Zlatanova

For several decades, indoor navigation has been exclusively investigated in a 2D perspective, based on floor plans, projection and other 2D representations of buildings. Nevertheless, 3D representations are closer to our reality and offer a more intuitive description of the space configuration. Thanks to recent advances in 3D modelling, 3D navigation is timidly but increasingly gaining in interest through the indoor applications. But, because the structure of indoor environment is often more complex than outdoor, very simplified models are used and obstacles are not considered for indoor navigation leading to limited possibilities in complex buildings. In this paper we consider the entire configuration of the indoor environment in 3D and introduce a method to extract from it the actual navigable space as a network of connected 3D spaces (volumes). We describe how to construct such 3D free spaces from semantically rich and furnished IFC models. The approach combines the geometric, the topological and the semantic information available in a 3D model to isolate the free space from the rest of the components. Furthermore, the extraction of such navigable spaces in building models lacking of semantic information is also considered. A data structure named combinatorial maps is used to support the operations required by the process while preserving the topological and semantic information of the input models.


2020 ◽  
Author(s):  
D.V. Artemeva ◽  
A.S. Zhilin

Present paper is devoted to the analysis of how 3D soft skills competences influence on a formation of a new job positions at labor market at Ural region of Russian Federation. It is shown how 3D-modelling skills requirements correlate with distribution of professions. Based on the data of labor market offers it is also shown a comparison between job offers and salaries. The main conclusion is made on the matter of how it is inevitable to make structural changes in the competence formation of an engineer of future because 3D-modelling competences are highly required in skills profile of an engineer from year to year. Keywords: 3D modeler, 3D modeling, 3D computer graphics, 3D model, 3D space, CAD system.


Author(s):  
Ольга Валентиновна Кузнецова ◽  
Варвара Геннадьевна Кузнецова

В статье рассматривается процесс проектирования, 3D-моделирования, технологии сборки и сварки плоской судовой конструкции. Была создана 3D-модель секции, которая стала основой для ассоциативного чертежа. На основе действующих нормативных актов разработана технология сборки и сварки, рассчитана продолжительность и трудоемкость, построен сетевой график, описывающий процессы производства. The article presents the process of engineering, 3D-modelling, assembling and welding technology of a flat ship structure. A 3D-model of a section was created, which the associative drawing was based on. After the assembling and welding technology was designed according to the regulations and standards, the work duration and activity content was calculated. The network graph was plotted to illustrate the course of production.


Author(s):  
Cristina Portalés ◽  
Manolo Pérez ◽  
Pablo Casanova-Salas ◽  
Jesús Gimeno

Abstract3D modelling of man-made objects is widely used in the cultural heritage sector, among others. It is relevant for its documentation, dissemination and preservation. Related to historical fabrics, weaves and weaving techniques are still mostly represented in forms of 2D graphics and textual descriptions. However, complex geometries are difficult to represent in such forms, hindering the way this legacy is transmitted to new generations. In this paper, we present the design and implementation of SILKNOW’s Virtual Loom, an interactive tool aimed to document, preserve and represent in interactive 3D forms historical weaves and weaving techniques of silk fabrics, dating from the 15th to the 19th centuries. To that end, our tool only requires an image of a historical fabric. Departing from this image, the tool automatically subtracts the design, and allows the user to apply different weaves and weaving techniques. In its current version, the tool embeds five traditional weaving techniques, 39 weaves and six types of yarns, which have been defined thanks to close collaboration of experts in computer graphics, art history and historical fabrics. Additionally, users can change the color of yarns and produce different 3D representations for a given fabric, which are interactive in real time. In this paper, we bring the details of the design and implementation of this tool, focusing on the input data, the strategy to process images, the 3D modelling of yarns, the definition of weaves and weaving techniques and the graphical user interface. In the results section, we show some examples of image analysis in order to subtract the design of historical fabrics, and then we provide 3D representations for all the considered weaving techniques, combining different types of yarns.


Author(s):  
V Rossetti ◽  
F Furfari ◽  
B Leporini ◽  
S Pelagatti ◽  
A Quarta

2020 ◽  
Vol 2 (2) ◽  
pp. 62-68
Author(s):  
Ahmad Jahrudin ◽  
Pradityo Riyadi

The exploration of oil and gas, especially in Indonesia is experiencing various challenges and varying degrees of difficulty. In this research, the researcher tries to make a 3D modeling from gravity data, where the model will show a structure to determine the central coordinates for drilling. Pertamina has carried out drilling at a location in NTT and it turns out that the well does not produce oil and gas, even though the log data reads an oil showing that the area should have the prospect of producing oil, but the wells that have been drilled do not show any oil or gas, therefore the researchers tried to make a 3D model determine the structure around the production well. In this research, it was seen that the area of the previous drilling point had deviated from the top of the up dome and it was also seen in this structure that the area was deviated by about 3 kilometers and depth must exceed 526 m, the researcher concluded that the drilling point must be at X, Y coordinates.


Fast track article for IS&T International Symposium on Electronic Imaging 2021: Imaging and Multimedia Analytics in a Web and Mobile World 2021 proceedings.


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