scholarly journals A New Method of Achieving Single Three-Dimensional Building Model Automatically Based on Oblique Photography Data

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Defu Che ◽  
Zonghui Li ◽  
Yining Liu ◽  
Renqing Zhong ◽  
Baodong Ma
Keyword(s):  
Human Computer Interaction ◽  
Three Dimensional ◽  
Point Clouds ◽  
Contour Line ◽  
New Method ◽  
Difference Threshold ◽  
Height Difference ◽  
Building Model ◽  
Building Facade ◽  
Computer Interaction

Operating and managing single three-dimensional building model individually are critical in the application of oblique photography models. However, these models are usually complete and continuous, and the single three-dimensional building model in these models cannot be managed individually. Generally, achieving a single three-dimensional building model requires a human-computer interaction to determine the cutting range, but this process is time-consuming and inefficient. To overcome this problem, this study proposed a new method for automatically achieving single three-dimensional building model without the need for human-computer interaction. First, the point clouds of an oblique photography model are divided into virtual grids, and the point clouds in each virtual grid are seen as a whole. In this way, the number of point clouds involved in the calculation is reduced, thereby improving computing efficiency. Second, the point clouds of a building facade are extracted by setting the height difference. By comparing the height difference between the highest point and the lowest point of the grid with height difference threshold, all point clouds in the grid that do not meet the requirements are eliminated. Third, the point clouds of the building facade are classified, and the contour line is extracted by the classified point clouds. Finally, the single three-dimensional building model is achieved by reconstructing the triangles that intersect with the extracted contour line. Experimental results show that the proposed method can effectively achieve single bodies automatically from an oblique photography building model. This method is then useful for achieving single three-dimensional building model from massive oblique photography data.

Use of topographic LiDAR point clouds for building reconstruction

2021 ◽  
Author(s):  
Yipeng Yuan
Keyword(s):  
Large Scale ◽  
Three Dimensional ◽  
Point Clouds ◽  
Building Roof ◽  
Building Model ◽  
Building Models ◽  
Urban Models ◽  
Elevation Data ◽  
3D Building Model ◽  
Building Reconstruction

Demand for three-dimensional (3D) urban models keeps growing in various civil and military applications. Topographic LiDAR systems are capable of acquiring elevation data directly over terrain features. However, the task of creating a large-scale virtual environment still remains a time-consuming and manual work. In this thesis a method for 3D building reconstruction, consisting of building roof detection, roof outline extraction and regularization, and 3D building model generation, directly from LiDAR point clouds is developed. In the proposed approach, a new algorithm called Gaussian Markov Random Field (GMRF) and Markov Chain Monte Carlo (MCMC) is used to segment point clouds for building roof detection. The modified convex hull (MCH) algorithm is used for the extraction of roof outlines followed by the regularization of the extracted outlines using the modified hierarchical regularization algorithm. Finally, 3D building models are generated in an ArcGIS environment. The results obtained demonstrate the effectiveness and satisfactory accuracy of the developed method.

Study on Technology of Triangular Polyhedron 3D Human-Computer Interaction Modeling

2014 ◽  
Vol 962-965 ◽  
pp. 2721-2725
Author(s):  
Wen Li Wu ◽  
Wei He ◽  
Bin Feng ◽  
Shi Chen
Keyword(s):  
Human Computer Interaction ◽  
Three Dimensional ◽  
Data Interpretation ◽  
3D Models ◽  
Geometric Transformation ◽  
Rubber Membrane ◽  
Interaction Modeling ◽  
Three Dimensional Models ◽  
Global And Local ◽  
Computer Interaction

To simulate arbitrary three dimensional models, this technology of triangular polyhedron 3D human-computer interaction modeling was proposed. Achieving the technology has following three steps. Firstly, the coordinates of 3D nodes were projected onto the plane by the method of 3D geometric transformation. Then, this information which was made up of triangles and sides and nodes was picked up by 3D picking methods. Finally, the technique of rubber membrane was used to modify the nodes of triangles, and the 3D modification was achieved by means of anti-transformation. Moreover, the method of global and local mesh encryption was also designed to modify 3D topology structure, which was aimed at better simulate complex 3D models. This technology combined geophysical forwarding compute and formed the method of data-interaction simulation, which provided a means of visualization for geophysical data interpretation.

scholarly journals INTEGRATION OF POINT CLOUDS DATASET FROM DIFFERENT SENSORS

2017 ◽  
Vol XLII-2/W3 ◽  
pp. 9-15 ◽  
Author(s):  
C. K. A. F. Che Ku Abdullah ◽  
N. Z. S. Baharuddin ◽  
M. F. M. Ariff ◽  
Z. Majid ◽  
C. L. Lau ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Laser Scanning ◽  
3D Model ◽  
Accuracy Assessment ◽  
Three Dimensional ◽  
Laser Scanner ◽  
Point Clouds ◽  
Accurate Information ◽  
Integration Process ◽  
Building Facade

Laser Scanner technology become an option in the process of collecting data nowadays. It is composed of Airborne Laser Scanner (ALS) and Terrestrial Laser Scanner (TLS). ALS like Phoenix AL3-32 can provide accurate information from the viewpoint of rooftop while TLS as Leica C10 can provide complete data for building facade. However if both are integrated, it is able to produce more accurate data. The focus of this study is to integrate both types of data acquisition of ALS and TLS and determine the accuracy of the data obtained. The final results acquired will be used to generate models of three-dimensional (3D) buildings. The scope of this study is focusing on data acquisition of UTM Eco-home through laser scanning methods such as ALS which scanning on the roof and the TLS which scanning on building façade. Both device is used to ensure that no part of the building that are not scanned. In data integration process, both are registered by the selected points among the manmade features which are clearly visible in Cyclone 7.3 software. The accuracy of integrated data is determined based on the accuracy assessment which is carried out using man-made registration methods. The result of integration process can achieve below 0.04m. This integrated data then are used to generate a 3D model of UTM Eco-home building using SketchUp software. In conclusion, the combination of the data acquisition integration between ALS and TLS would produce the accurate integrated data and able to use for generate a 3D model of UTM eco-home. For visualization purposes, the 3D building model which generated is prepared in Level of Detail 3 (LOD3) which recommended by City Geographic Mark-Up Language (CityGML).

scholarly journals Evaluations of Three-Dimensional Building Model Reconstruction from LiDAR Point Clouds and Single-View Perspective Imagery

2014 ◽  
Vol XL-5 ◽  
pp. 597-600 ◽  
Author(s):  
F. Tsai ◽  
H. Chang
Keyword(s):  
Laser Scanning ◽  
Semantic Analysis ◽  
Three Dimensional ◽  
Point Clouds ◽  
3D Models ◽  
Conjugate Points ◽  
Model Reconstruction ◽  
Perspective View ◽  
Single View ◽  
Building Model

This paper briefly presents two approaches for effective three-dimensional (3D) building model reconstruction from terrestrial laser scanning (TLS) data and single perspective view imagery and assesses their applicability to the reconstruction of 3D models of landmark or historical buildings. The collected LiDAR point clouds are registered based on conjugate points identified using a seven-parameter transformation system. Three dimensional models are generated using plan and surface fitting algorithms. The proposed single-view reconstruction (SVR) method is based on vanishing points and single-view metrology. More detailed models can also be generated according to semantic analysis of the façade images. Experimental results presented in this paper demonstrate that both TLS and SVR approaches can successfully produce accurate and detailed 3D building models from LiDAR point clouds or different types of single-view perspective images.

Contactless interactive control technology with a switching system based on Butterworth filter and modified strong tracking Kalman filter

2021 ◽  
pp. 095965182110033
Author(s):  
Yifan Fang ◽  
Zhong Chen ◽  
Lei Yu ◽  
Shumin Fei
Keyword(s):  
Kalman Filter ◽  
Human Computer Interaction ◽  
Three Dimensional ◽  
Interactive System ◽  
Interactive Control ◽  
Filtering Algorithm ◽  
Interaction Field ◽  
Time Interaction ◽  
Processing Step ◽  
Computer Interaction

In the human–computer interaction field, a contactless interaction with large screens through gestures is very representative, and the recognition and filtering of gesture images are very important tasks. Aiming at solving the problems of interference and positioning drift of three-dimensional lidar sensors, this article proposes a contactless interactive control system based on switching filtering algorithm, which selects the Butterworth filtering and the modified strong tracking Kalman filter to be used in the filtering process. The proposed interactive system extracts and optimizes user gestures, maps the gestures to the screen, simulates mouse operations, and enables operations such as selection, sliding, zooming in and out, and others. This switching filtering algorithm effectively solves the accuracy problem of a single filtering algorithm and the rapidity of complex filtering algorithms in the signal processing step, and greatly improves the interaction accuracy without sacrificing too much processing time. The experimental results show that by applying the proposed switching filtering algorithm to a contactless human–computer interaction system, the system can achieve smooth gesture interaction. The proposed system can perform real-time interaction with multiple people, which fully verifies the effectiveness and superiority of the proposed algorithm.

scholarly journals Research on 3D International River Visualization Simulation Based on Human-Computer Interaction

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Shuanhu Li ◽  
Jun Yang ◽  
Ziwen Zhang
Keyword(s):  
Human Computer Interaction ◽  
Processing Speed ◽  
Three Dimensional ◽  
Virtual Reality Technology ◽  
Huge Data ◽  
Simulation Based ◽  
Visual Interaction ◽  
International River ◽  
The Mathematical Model ◽  
Computer Interaction

With the development of digitalization in various fields, the water conservancy field is gradually developing digital three-dimensional visualization research to promote the development of digital watershed construction. This paper deeply analyzes and discusses the theory and application of three-dimensional visualization of river water scenes and realizes an interactive visual simulation system based on virtual reality technology, which simulates simulation and operation management, which can greatly accelerate the data. The processing speed makes the huge data be effectively utilized to provide visual interaction means for numerical simulation and data analysis, improve the efficiency of numerical calculation, and realize human-computer interaction communication, so that people can observe the phenomena and laws that are difficult to observe by traditional methods. The rationality of the mathematical model is analyzed for effectiveness.

Building Facade Reconstruction Using Crowd- Sourced Photos and Two-Dimensional Maps

2020 ◽  
Vol 86 (11) ◽  
pp. 677-694
Author(s):  
Jie Wu ◽  
Junya Mao ◽  
Song Chen ◽  
Gesang Zhuoma ◽  
Liang Cheng ◽  
...  
Keyword(s):  
Low Cost ◽  
Three Dimensional ◽  
Point Clouds ◽  
Reconstruction Method ◽  
Two Dimensional ◽  
Vector Data ◽  
Urban Buildings ◽  
Building Facade ◽  
True Values ◽  
Technical Framework

To address the high-cost problem of the current three-dimensional (<small>3D</small>) reconstruction for urban buildings, a new technical framework is proposed to generate <small>3D</small> building facade information using crowd-sourced photos and two-dimensional (2D) building vector data in this paper. The crowd-sourced photos mainly consisted of Tencent street view images and other-source photos, which were collected from three platforms, including search engines, social media, and mobile phones. The photos were selected and grouped first, and then a structure from motion algorithm was used for <small>3D</small> reconstruction. Finally, the reconstructed point clouds were registered with 2D building vector data. The test implementation was conducted in the Jianye District of Nanjing, China, and the generated point clouds showed a good fit with the true values. The proposed <small>3D</small> reconstruction method represents a multi-sourced data integration process. The advantage of the proposed approach lies in the open source and low-cost data used in this study.

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