scholarly journals DUBAI 3D TEXTUERD MESH USING HIGH QUALITY RESOLUTION VERTICAL/OBLIQUE AERIAL IMAGERY

2016 ◽  
Vol XLI-B3 ◽  
pp. 151-154 ◽  
Author(s):  
Adib Tayeb Madani ◽  
Abdullateef Ziad Ahmad ◽  
Lueken Christoph ◽  
Zamzam Hammadi ◽  
Manal Abdullah x Manal Abdullah Sabeal
Keyword(s):  
Point Cloud ◽  
3D Model ◽  
City Planning ◽  
Spatial Information ◽  
Visual Assessment ◽  
Urban Environments ◽  
3D Analysis ◽  
High Quality ◽  
3D Data ◽  
Global Matching

Providing high quality 3D data with reasonable quality and cost were always essential, affording the core data and foundation for developing an information-based decision-making tool of urban environments with the capability of providing decision makers, stakeholders, professionals, and public users with 3D views and 3D analysis tools of spatial information that enables real-world views. Helps and assist in improving users’ orientation and also increase their efficiency in performing their tasks related to city planning, Inspection, infrastructures, roads, and cadastre management. In this paper, the capability of multi-view Vexcel UltraCam Osprey camera images is examined to provide a 3D model of building façades using an efficient image-based modeling workflow adopted by commercial software’s. The main steps of this work include: Specification, point cloud generation, and 3D modeling. After improving the initial values of interior and exterior parameters at first step, an efficient image matching technique such as Semi Global Matching (SGM) is applied on the images to generate point cloud. Then, a mesh model of points is calculated using and refined to obtain an accurate model of buildings. Finally, a texture is assigned to mesh in order to create a realistic 3D model. The resulting model has provided enough LoD2 details of the building based on visual assessment. The objective of this paper is neither comparing nor promoting a specific technique over the other and does not mean to promote a sensor-based system over another systems or mechanism presented in existing or previous paper. The idea is to share experience.

scholarly journals DUBAI 3D TEXTUERD MESH USING HIGH QUALITY RESOLUTION VERTICAL/OBLIQUE AERIAL IMAGERY

2016 ◽  
Vol XLI-B3 ◽  
pp. 151-154
Author(s):  
Adib Tayeb Madani ◽  
Abdullateef Ziad Ahmad ◽  
Lueken Christoph ◽  
Zamzam Hammadi ◽  
Manal Abdullah x Manal Abdullah Sabeal
Keyword(s):  
Point Cloud ◽  
3D Model ◽  
City Planning ◽  
Spatial Information ◽  
Visual Assessment ◽  
Urban Environments ◽  
3D Analysis ◽  
High Quality ◽  
3D Data ◽  
Global Matching

Providing high quality 3D data with reasonable quality and cost were always essential, affording the core data and foundation for developing an information-based decision-making tool of urban environments with the capability of providing decision makers, stakeholders, professionals, and public users with 3D views and 3D analysis tools of spatial information that enables real-world views. Helps and assist in improving users’ orientation and also increase their efficiency in performing their tasks related to city planning, Inspection, infrastructures, roads, and cadastre management. In this paper, the capability of multi-view Vexcel UltraCam Osprey camera images is examined to provide a 3D model of building façades using an efficient image-based modeling workflow adopted by commercial software’s. The main steps of this work include: Specification, point cloud generation, and 3D modeling. After improving the initial values of interior and exterior parameters at first step, an efficient image matching technique such as Semi Global Matching (SGM) is applied on the images to generate point cloud. Then, a mesh model of points is calculated using and refined to obtain an accurate model of buildings. Finally, a texture is assigned to mesh in order to create a realistic 3D model. The resulting model has provided enough LoD2 details of the building based on visual assessment. The objective of this paper is neither comparing nor promoting a specific technique over the other and does not mean to promote a sensor-based system over another systems or mechanism presented in existing or previous paper. The idea is to share experience.

scholarly journals AN IMAGE-BASED TECHNIQUE FOR 3D BUILDING RECONSTRUCTION USING MULTI-VIEW UAV IMAGES

2015 ◽  
Vol XL-1-W5 ◽  
pp. 43-46 ◽  
Author(s):  
F. Alidoost ◽  
H. Arefi
Keyword(s):  
Urban Areas ◽  
Point Cloud ◽  
3D Model ◽  
Visual Assessment ◽  
Mesh Model ◽  
Building Facades ◽  
Dense Point ◽  
Global Matching ◽  
Complex Building ◽  
Uav Images

Nowadays, with the development of the urban areas, the automatic reconstruction of the buildings, as an important objects of the city complex structures, became a challenging topic in computer vision and photogrammetric researches. In this paper, the capability of multi-view Unmanned Aerial Vehicles (UAVs) images is examined to provide a 3D model of complex building façades using an efficient image-based modelling workflow. The main steps of this work include: pose estimation, point cloud generation, and 3D modelling. After improving the initial values of interior and exterior parameters at first step, an efficient image matching technique such as Semi Global Matching (SGM) is applied on UAV images and a dense point cloud is generated. Then, a mesh model of points is calculated using Delaunay 2.5D triangulation and refined to obtain an accurate model of building. Finally, a texture is assigned to mesh in order to create a realistic 3D model. The resulting model has provided enough details of building based on visual assessment.

scholarly journals 3D DATA ACQUISITION BASED ON OPENCV FOR CLOSE-RANGE PHOTOGRAMMETRY APPLICATIONS

2017 ◽  
Vol XLII-1/W1 ◽  
pp. 377-382 ◽  
Author(s):  
L. Jurjević ◽  
M. Gašparović
Keyword(s):  
Traffic Management ◽  
Point Cloud ◽  
3D Model ◽  
Point Clouds ◽  
Model Reconstruction ◽  
Close Range Photogrammetry ◽  
3D Data ◽  
3D Model Reconstruction ◽  
Close Range ◽  
Real Time Application

Development of the technology in the area of the cameras, computers and algorithms for 3D the reconstruction of the objects from the images resulted in the increased popularity of the photogrammetry. Algorithms for the 3D model reconstruction are so advanced that almost anyone can make a 3D model of photographed object. The main goal of this paper is to examine the possibility of obtaining 3D data for the purposes of the close-range photogrammetry applications, based on the open source technologies. All steps of obtaining 3D point cloud are covered in this paper. Special attention is given to the camera calibration, for which two-step process of calibration is used. Both, presented algorithm and accuracy of the point cloud are tested by calculating the spatial difference between referent and produced point clouds. During algorithm testing, robustness and swiftness of obtaining 3D data is noted, and certainly usage of this and similar algorithms has a lot of potential in the real-time application. That is the reason why this research can find its application in the architecture, spatial planning, protection of cultural heritage, forensic, mechanical engineering, traffic management, medicine and other sciences.

scholarly journals A Lightweight, Robust Exploitation System for Temporal Stacks of UAS Data: Use Case for Forward-Deployed Military or Emergency Responders

Drones ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 29 ◽  
Author(s):  
Andrew Marx ◽  
Yu-Hsi Chou ◽  
Kevin Mercy ◽  
Richard Windisch
Keyword(s):  
Urban Areas ◽  
Point Cloud ◽  
Point Clouds ◽  
Temporal Analysis ◽  
Unmanned Aerial Systems ◽  
Point Cloud Data ◽  
High Quality ◽  
Cloud Data ◽  
3D Data ◽  
Exploitation System

The availability and precision of unmanned aerial systems (UAS) permit the repeated collection of very-high quality three-dimensional (3D) data to monitor high-interest areas, such as dams, urban areas, or erosion-prone coastlines. However, challenges exist in the temporal analysis of this data, specifically in conducting change-detection analysis on the high-quality point cloud data. These files are very large in size and contain points in varying locations that do not align between scenes. These large file sizes also limit the use of this data for individuals with low computational resources, such as first responders or forward-deployed soldiers. In response, this manuscript presents an approach that aggregates data spatially into voxels to provide the user with a lightweight, web-based exploitation system coupled with a flexible backend database. The system creates a robust set of tools to analyze large temporal stacks of 3D data and reduces data size by 78%, all while being able to query the original point cloud data. This approach offers a solution for organizations analyzing high-resolution, temporal point-clouds, as well as a possible solution for operations in areas with poor computational and connectivity resources requiring high-quality, 3D data for decision support and planning.

scholarly journals EXPLORATORY STUDY OF 3D POINT CLOUD TRIANGULATION FOR SMART CITY MODELLING AND VISUALIZATION

2020 ◽  
Vol XLIV-4/W3-2020 ◽  
pp. 71-79
Author(s):  
S. A. M. Ariff ◽  
S. Azri ◽  
U. Ujang ◽  
A. A. M. Nasir ◽  
N. Ahmad Fuad ◽  
...  
Keyword(s):  
Point Cloud ◽  
Large Scale ◽  
3D Model ◽  
Large Data ◽  
3D Point Cloud ◽  
3D Mesh ◽  
Mesh Model ◽  
3D Data ◽  
3D Mesh Model ◽  
Hardware Specification

Abstract. The current trends of 3D scanning technologies allow us to acquire accurate 3D data of large-scale environment efficiently. The 3D data of large-scale environments is essential when generating 3D model is for the visualization of smart cities. For the seamless visualization of 3D model, large data size will be used during the 3D data acquisition. However, the processing time for large data size is time consuming and requires suitable hardware specification. In this study, different hardware capability in processing large data of 3D point cloud for mesh generation is investigated. Light Detection and Ranging (LiDAR) Airborne and Mobile Mapping System (MMS) are used as data input and processed using Bentley ContextCapture software. The study is conducted in Malaysia, specifically in Wilayah Persekutuan Kuala Lumpur and Selangor with the size of 49 km2. Several analyses have been performed to analyse the software and hardware specification based on the 3D mesh model generated. From the finding, we have suggested the most suitable hardware specification for 3D mesh model generation.

scholarly journals FUSION AND EVALUATION OF 3D DATA AND EXCAVATION DOCUMENTS FOR COMPARISON OF ORIGINAL AND DIGITAL COPY IN THE CASE OF A MEGALITHIC TOMB

2021 ◽  
Vol XLVI-M-1-2021 ◽  
pp. 647-651
Author(s):  
F. Russell ◽  
P. Kalinowski ◽  
F. Both ◽  
T. Luhmann ◽  
U. Warnke
Keyword(s):  
Point Cloud ◽  
3D Model ◽  
Historical Data ◽  
Image Data ◽  
Current Situation ◽  
Communication To The Public ◽  
The Public ◽  
3D Data ◽  
Multidisciplinary Cooperation ◽  
Historical Image

Abstract. This contribution shows the preliminary results of the multidisciplinary cooperation of archaeological, technical and heritage issues using the example of the megalithic tomb Kleinenkneten II. The tomb was excavated in the 1930s, but big parts of the documentation have unfortunately been destroyed. Furthermore, some ancient interpretations need to be objectively reviewed. More than 500 historical image data visually document the historical excavation situation. In addition, the current situation was recorded in 3D using modern methods. Geodetic products, such as orthophotos, can be derived from modern data and compared with old plans. Also, a point cloud was calculated from historical images, which can be compared with the current situation. The combination of modern and historical data enables new archaeological interpretations. From a museum perspective, strategies for the construction of authentic value of the 3D model is considered, as well as its communication to the public.

scholarly journals COMPARATIVE ANALYSIS OF VARIOUS CAMERA INPUT FOR VIDEOGRAMMETRY

2019 ◽  
Vol XLII-4/W16 ◽  
pp. 63-70
Author(s):  
N. Ahmad ◽  
S. Azri ◽  
U. Ujang ◽  
M. G. Cuétara ◽  
G. M. Retortillo ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Data Acquisition ◽  
Point Cloud ◽  
3D Model ◽  
Video Recording ◽  
Digital Camera ◽  
Point Clouds ◽  
Video Frame ◽  
3D Data

Abstract. Videogrammetry is a technique to generate point clouds by using video frame sequences. It is a branch of photogrammetry that offers an attractive capabilities and make it an interesting choice for a 3D data acquisition. However, different camera input and specification will produce different quality of point cloud. Thus, it is the aim of this study to investigate the quality of point cloud that is produced from various camera input and specification. Several devices are using in this study such as Iphone 5s, Iphone 7+, Iphone X, Digital camera of Casio Exilim EX-ZR1000 and Nikon D7000 DSLR. For each device, different camera with different resolution and frame per second (fps) are used for video recording. The videos are processed using EyesCloud3D by eCapture. EyesCloud3D is a platform that receive input such as videos and images to generate point clouds. 3D model is constructed based on generated point clouds. The total number of point clouds produced is analyzed to determine which camera input and specification produce a good 3D model. Besides that, factor of generating number of point clouds is analyzed. Finally, each camera resolution and fps is suggested for certain applications based on generated number of point cloud.

scholarly journals SEMI-AUTOMATIC CITYSCAPE 3D MODEL RESTORATION USING GENERATIVE ADVERSARIAL NETWORK

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 415-420
Author(s):  
V. Gorbatsevich ◽  
B. Kulgildin ◽  
M. Melnichenko ◽  
O. Vygolov ◽  
Y. Vizilter
Keyword(s):  
United States ◽  
3D Model ◽  
Generative Adversarial Networks ◽  
High Quality ◽  
Generative Adversarial Network ◽  
Adversarial Network ◽  
Adversarial Networks ◽  
3D Data

Abstract. The paper addresses the problem of a city heightmap restoration using satellite view image and some manually created area with 3D data. We propose the approach based on generative adversarial networks. Our algorithm contains three steps: low quality 3D restoration, buildings segmentation using restored model, and high-quality 3D restoration. CNN architecture based on original ResDilation blocks and ResNet is used for steps one and three. Training and test datasets were retrieved from National Lidar Dataset (United States) and the algorithm achieved approximately MSE = 3.84 m on this data. In addition, we tested our model on the completely different ISPRS Potsdam dataset and obtained MSE = 5.1 m.

Direct phase determination in electron crystallography: small organic molecules

1992 ◽  
Vol 50 (2) ◽  
pp. 1166-1167
Author(s):  
Douglas L. Dorset
Keyword(s):  
Organic Molecules ◽  
Data Sets ◽  
Temperature Structure ◽  
3D Analysis ◽  
Intensity Data ◽  
Electron Crystallography ◽  
Phase Determination ◽  
Measured Intensity ◽  
3D Data

The quantitative use of electron diffraction intensity data for the determination of crystal structures represents the pioneering achievement in the electron crystallography of organic molecules, an effort largely begun by B. K. Vainshtein and his co-workers. However, despite numerous representative structure analyses yielding results consistent with X-ray determination, this entire effort was viewed with considerable mistrust by many crystallographers. This was no doubt due to the rather high crystallographic R-factors reported for some structures and, more importantly, the failure to convince many skeptics that the measured intensity data were adequate for ab initio structure determinations.We have recently demonstrated the utility of these data sets for structure analyses by direct phase determination based on the probabilistic estimate of three- and four-phase structure invariant sums. Examples include the structure of diketopiperazine using Vainshtein's 3D data, a similar 3D analysis of the room temperature structure of thiourea, and a zonal determination of the urea structure, the latter also based on data collected by the Moscow group.

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