scholarly journals Development of Quick Digital Field Recording and Mapping Method of Geological Objects for Hydraulic Engineering

2021 ◽  
Vol 11 (21) ◽  
pp. 9840
Author(s):  
Wenchao Zhao ◽  
Shuai Han ◽  
Yapeng Chen ◽  
Yusheng Gao ◽  
Manjie Liu
Keyword(s):  
Image Interpretation ◽  
3D Models ◽  
Mapping Method ◽  
Hydraulic Engineering ◽  
Field Analysis ◽  
Digital Tool ◽  
Field Recording ◽  
Preliminary Model ◽  
Geological Information ◽  
3D Scene

During the fieldwork of hydraulic engineering, practical engineers normally document geological information manually. Although there are some GIS-based digital tools for geology, they are not perfectly applicable to hydraulic engineering. As a result, the current work mode is ineffective, unmanageable, error-prone, and not conducive to subsequent analysis. To address this problem, we developed a digital tool which enables geological recording and quick modeling based on 3D real scenes in the field of hydropower projects. There are three modules in the surface tool: object recording, image interpretation, and field analysis. The object recording module is to mark geological points (e.g., drills and shafts), lines (e.g., faults, stratigraphic boundaries), and surfaces (e.g., slope and stocking yard) on a 3D scene and then store them in the database. The image interpretation is to interpret the 2D information in images to 3D models loaded in 3D software for further studies, such as GOCAD. The field analysis includes surface fitting, stability analysis of blocks, occurrences calculating, rock recognition, and 69/sketching. The tool is helpful for recording data, drawing geological boundaries, and building a preliminary model in the geological survey.

scholarly journals ENHANCED RGB-D MAPPING METHOD FOR DETAILED 3D MODELING OF LARGE INDOOR ENVIRONMENTS

2016 ◽  
Vol III-1 ◽  
pp. 151-158
Author(s):  
Shengjun Tang ◽  
Qing Zhu ◽  
Wu Chen ◽  
Walid Darwish ◽  
Bo Wu ◽  
...  
Keyword(s):  
3D Modeling ◽  
Visual Information ◽  
3D Models ◽  
Measurement Range ◽  
Mapping Method ◽  
Depth Information ◽  
Indoor Environments ◽  
Recovery Method ◽  
Depth Measurement ◽  
Rgb Image

RGB-D sensors are novel sensing systems that capture RGB images along with pixel-wise depth information. Although they are widely used in various applications, RGB-D sensors have significant drawbacks with respect to 3D dense mapping of indoor environments. First, they only allow a measurement range with a limited distance (e.g., within 3 m) and a limited field of view. Second, the error of the depth measurement increases with increasing distance to the sensor. In this paper, we propose an enhanced RGB-D mapping method for detailed 3D modeling of large indoor environments by combining RGB image-based modeling and depth-based modeling. The scale ambiguity problem during the pose estimation with RGB image sequences can be resolved by integrating the information from the depth and visual information provided by the proposed system. A robust rigid-transformation recovery method is developed to register the RGB image-based and depth-based 3D models together. The proposed method is examined with two datasets collected in indoor environments for which the experimental results demonstrate the feasibility and robustness of the proposed method

Evaluation of Spherical Parameterization Methods for Three-Dimensional Reconstruction of Medical Images

2013 ◽  
Vol 365-366 ◽  
pp. 1342-1349
Author(s):  
Xing Hui Wu ◽  
Zhi Xiu Hao
Keyword(s):  
Medical Images ◽  
Three Dimensional ◽  
3D Models ◽  
Mapping Method ◽  
Geometric Error ◽  
Patient Specific ◽  
Shape Modelling ◽  
Dimensional Reconstruction ◽  
Statistical Shape ◽  
Spherical Parameterization

The spherical parameterization is important for the correspondence problem that is a major part of statistical shape modelling for the reconstruction of patient-specific 3D models from medical images. In this paper, we present comparative studies of five common spherical mapping methods applied to the femur and tibia models: the Issenburg et al. method, the Alexa method, the Saba et al. method, the Praun et al. method and the Shen et al. method. These methods are evaluated using three sets of measures: distortion property, geometric error and distance to standard landmarks. Results show that the Praun et al. method performs better than other methods while the Shen et al. method can be regarded as the most reliable one for providing an acceptable correspondence result. We suggest that the area preserving property can be used as a sufficient condition while the angle preserving property is not important when choosing a spherical mapping method for correspondence application.

BAYESIAN MAGNETOTELLURIC INVERSION USING METHYLENE BLUE STRUCTURAL PRIORS FOR IMAGING SHALLOW CONDUCTORS IN GEOTHERMAL FIELDS

Geophysics ◽  
2021 ◽  
pp. 1-66
Author(s):  
Alberto Ardid ◽  
David Dempsey ◽  
Edward Bertrand ◽  
Fabian Sepulveda ◽  
Flora Solon ◽  
...  
Keyword(s):  
Methylene Blue ◽  
Clay Content ◽  
3D Models ◽  
Bayesian Inversion ◽  
Inversion Method ◽  
Geothermal Fields ◽  
Geological Information ◽  
Resistivity Model ◽  
Irreducible Uncertainty ◽  
Clay Cap

In geothermal exploration, magnetotelluric (MT) data and inversion models are commonly used to image shallow conductors typically associated with the presence of an electrically conductive clay cap that overlies the main reservoir. However, these inversion models suffer from non-uniqueness and uncertainty, and the inclusion of useful geological information is still limited. We develop a Bayesian inversion method that integrates the electrical resistivity distribution from MT surveys with borehole methylene blue data (MeB), an indicator of conductive clay content. MeB data is used to inform structural priors for the MT Bayesian inversion that focus on inferring with uncertainty the shallow conductor boundary in geothermal fields. By incorporating borehole information, our inversion reduces non-uniqueness and then explicitly represents the irreducible uncertainty as estimated depth intervals for the conductor boundary. We use Markov chain Monte Carlo (McMC) and a one-dimensional three-layer resistivity model to accelerate the Bayesian inversion of the MT signal beneath each station. Then, inferred conductor boundary distributions are interpolated to construct pseudo-2D/3D models of the uncertain conductor geometry. We compared our approach against a deterministic MT inversion software on synthetic and field examples and showed good performance in estimating the depth to the bottom of the conductor, a valuable target in geothermal reservoir exploration.

scholarly journals An Integrated Approach to 3D Web Visualization of Cultural Heritage Heterogeneous Datasets

2019 ◽  
Vol 11 (21) ◽  
pp. 2508 ◽  
Author(s):  
Argyro-Maria Boutsi ◽  
Charalabos Ioannidis ◽  
Sofia Soile
Keyword(s):  
Cultural Heritage ◽  
Programming Languages ◽  
Large Scale ◽  
User Interaction ◽  
Holistic Approach ◽  
Integrated Approach ◽  
3D Models ◽  
Data Interoperability ◽  
Web Based ◽  
3D Scene

The evolution of the high-quality 3D archaeological representations from niche products to integrated online media has not yet been completed. Digital archives of the field often lack multimodal data interoperability, user interaction and intelligibility. A web-based cultural heritage archive that compensates for these issues is presented in this paper. The multi-resolution 3D models constitute the core of the visualization on top of which supportive documentation data and multimedia content are spatial and logical connected. Our holistic approach focuses on the dynamic manipulation of the 3D scene through the development of advanced navigation mechanisms and information retrieval tools. Users parse the multi-modal content in a geo-referenced way through interactive annotation systems over cultural points of interest and automatic narrative tours. Multiple 3D and 2D viewpoints are enabled in real-time to support data inspection. The implementation exploits front-end programming languages, 3D graphic libraries and visualization frameworks to handle efficiently the asynchronous operations and preserve the initial assets’ accuracy. The choice of Greece’s Meteora, UNESCO world site, as a case study accounts for the platform’s applicability to complex geometries and large-scale historical environments.

scholarly journals Design and Implementation of 3D Film and Television Scene Production Algorithm Based on the Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Ruiying Kuang
Keyword(s):  
Internet Of Things ◽  
Collision Detection ◽  
3D Models ◽  
The Internet ◽  
Film And Television ◽  
Mapping Technology ◽  
3D Scene ◽  
Internet Of Things Technology ◽  
3D Movie ◽  
The Internet Of Things

Film and television itself is a product of culture and innovation, combining digital technology, creative thinking, and artistic design. In the rapid development of 3D film and television, the situation of scene design and production has also become an important role. In a typical environment, the main scene plays the role of film and television and coherent plot. This thesis mainly analyzes the design and implementation of a 3D movie scene production algorithm based on the Internet of Things and also makes 3D movie scenes through the algorithm of Internet of Things technology. This article also analyzes the traditional 3D scene-making algorithm, which is mainly composed of a plane mapping part, a basic primitive generation part, a collision detection and positioning part, and a terrain generation part. Among them, the plane mapping technology provides the function of using plane mapping to simulate 3D objects. The basic primitive generation part uses the OpenGl function to draw 3D primitives and paste the BMP format image on each surface of the stereo primitives, so that the 3D model can be represented by a plane texture; collision detection is a key part of mechanical physics, which can detect games of the physical edge of the object in the middle; the terrain generation part uses the converted gray height value as the corresponding grid terrain height and uses planar mapping technology to capture the image of the entire terrain, that is, paste and generate a terrain map. The results show that a characteristic of the algorithm of the Internet of Things technology is that the 3D scene is completely mapped. This avoids the trouble of using 3DMAX and other tools to create 3D models and also reduces the difficulty of creating 3D scenes and makes the execution efficient, which is better than directly importing 3D models, runs faster, and runs very smoothly. The Internet of Things is an important development trend in the Internet information age and can be used to produce 3D film and television scenes to reduce development difficulty and cost and has a variety of research and development value and practical value. In the analysis part, this article also introduces the algorithms used in the scene production and passes the tests of 4 different files in 4 different frames and also found that more than 83% of people feel that the use of Internet of Things algorithms in the production of 3D movie scenes has improved production efficiency.

scholarly journals Eye-tracking Analysis of Interactive 3D Geovisualization

2017 ◽  
Vol 10 (3) ◽  
Author(s):  
Lukas Herman ◽  
Stanislav Popelka ◽  
Vendula Hejlova
Keyword(s):  
Eye Tracking ◽  
Low Cost ◽  
3D Models ◽  
Main Function ◽  
Eye Tracker ◽  
Virtual Camera ◽  
Interactive 3D Models ◽  
Interactive 3D ◽  
3D Scene

This paper describes a new tool for eye-tracking data and their analysis with the use of interactive 3D models. This tool helps to analyse interactive 3D models easier than by time-consuming, frame-by-frame investigation of captured screen recordings with superimposed scanpaths. The main function of this tool, called 3DgazeR, is to calculate 3D coordinates (X, Y, Z coordinates of the 3D scene) for individual points of view. These 3D coordinates can be calculated from the values of the position and orientation of a virtual camera and the 2D coordinates of the gaze upon the screen. The functionality of 3DgazeR is introduced in a case study example using Digital Elevation Models as stimuli. The purpose of the case study was to verify the functionality of the tool and discover the most suitable visualization methods for geographic 3D models. Five selected methods are presented in the results section of the paper. Most of the output was created in a Geographic Information System. 3DgazeR works with generic CSV files, SMI eye-tracker, and the low-cost EyeTribe tracker connected with open source application OGAMA. It can compute 3D coordinates from raw data and fixations.

First Results and Prospects of a New Approach to the Study of Active Geologic Processes by Space and Ground Instrumental Measurements (by the Example of Kamchatka and the Central Asian Orogenic Belt)

2021 ◽  
Vol 62 (1) ◽  
pp. 44-67
Author(s):  
N.L. Dobretsov ◽  
M.M. Buslov ◽  
A.N. Vasilevskiy ◽  
S.M. Zhmodik ◽  
A.V. Kotlyarov
Keyword(s):  
Satellite Images ◽  
Gravity Anomalies ◽  
3D Models ◽  
Tien Shan ◽  
Magma Chambers ◽  
Tectonic Structures ◽  
Central Asian ◽  
Geological Information ◽  
First Results ◽  
Geologic Processes

Abstract ––The use of satellite-geological information permits generalization of studies of various active geologic processes in a new way. As reference examples, we consider geologic regions extensively covered by research with our contribution. The joint use of satellite images, maps of gravity anomalies, and seismic-tomography data for Kamchatka made it possible to construct 3D models of surficial and deep-seated (depths from 10–50 to 650 km) volcanic structures. For young volcanosedimentary structures of Kamchatka, it is possible to trace the interaction of various processes, from crystallization of magmas in magma chambers to ore and oil formation in calderas. Ancient tectonic structures and superposed Cenozoic deformations in the Tien Shan, Altai, and Baikal regions are clearly displayed in satellite images and on maps of gravity anomalies. The long-range impact of the Indo-Eurasian collision on the Tien Shan, Altai, and Baikal regions was expressed as shearing, which resulted in the most contrasting structures in the zones of junction of regional faults and along the framing of cratonal structures. The active structures of Gorny Altai contain numerous travertines, whose abundance is correlated with seismic activity. The mass formation of methane and gas hydrates in Lake Baikal might be related to mantle plume fluids.

scholarly journals Robust and Efficient CPU-Based RGB-D Scene Reconstruction

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3652 ◽  
Author(s):  
Jianwei Li ◽  
Wei Gao ◽  
Heping Li ◽  
Fulin Tang ◽  
Yihong Wu
Keyword(s):  
Multiple Scales ◽  
3D Models ◽  
Scene Reconstruction ◽  
Camera Tracking ◽  
Reconstruction Performance ◽  
Key Points ◽  
Indoor Scenes ◽  
Efficient Data ◽  
Feature Based ◽  
3D Scene

3D scene reconstruction is an important topic in computer vision. A complete scene is reconstructed from views acquired along the camera trajectory, each view containing a small part of the scene. Tracking in textureless scenes is well known to be a Gordian knot of camera tracking, and how to obtain accurate 3D models quickly is a major challenge for existing systems. For the application of robotics, we propose a robust CPU-based approach to reconstruct indoor scenes efficiently with a consumer RGB-D camera. The proposed approach bridges feature-based camera tracking and volumetric-based data integration together and has a good reconstruction performance in terms of both robustness and efficiency. The key points in our approach include: (i) a robust and fast camera tracking method combining points and edges, which improves tracking stability in textureless scenes; (ii) an efficient data fusion strategy to select camera views and integrate RGB-D images on multiple scales, which enhances the efficiency of volumetric integration; (iii) a novel RGB-D scene reconstruction system, which can be quickly implemented on a standard CPU. Experimental results demonstrate that our approach reconstructs scenes with higher robustness and efficiency compared to state-of-the-art reconstruction systems.

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