• Title/Summary/Keyword: 3D Spatial Data

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Establishment Strategy of 3D Spatial Information from 2D Facility Drawing Related to Fire Fighting (2차원 소방대상 시설물도면의 3차원 공간정보 구축방안)

  • Lee, Yun;Kim, In-Hyun;Choi, Yun-Soo;Oh, Kyu-Shik
    • Spatial Information Research
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    • v.18 no.5
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    • pp.47-54
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    • 2010
  • Until recently, GIS technology was mainly based on 2D for disaster management. Necessity of 3D spatial information came to the fore with a speedy and accurate response system in disaster management. However, most fire-fighting facilities presently use CAD with 2D formation, Image drawings, and conception of construction data's formation. It is not about the drawings in map production. It's about varieties of construction ways or contents. In this study, we are proposing the ways on analyzing the existing disaster management targets for 2D technology drawings, designing the 3D spatial information data model, and transforming the effective 3D spatial information into algorithm and dimension spatial information construction for easily building on mass 2D architectural drawings to 3D spatial information effectively in disaster management. We can maxim ize efficient construction time and expenses. Then what is proposed in this study about constructing 3D spatial information for manual work, and it's significance for improving decisive decisions and utilizing the tasks to prevent, prepare, respond and restore steps in disaster management.

A Conceptual Data Model for a 3D Cadastre in Korea

  • Lee, Ji-Yeong;Koh, June-Hwan
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.25 no.6_1
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    • pp.565-574
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    • 2007
  • Because of most current cadastral systems maintain 2D geometric descriptions of parcels linked to administrative records, the system may not reflect current tendency to use space above and under the surface. The land has been used in multi-levels, e.g. constructions of multi-used complex buildings, subways and infrastructure above/under the ground. This cadastre situation of multilevel use of lands cannot be defined as cadastre objects (2D parcel-based) in the cadastre systems. This trend has requested a new system in which right to land is clearly and indisputably recorded because a right of ownership on a parcel relates to a space in 3D, not any more relates to 2D surface area. Therefore, this article proposes a 3D spatial data model to represent geometrical and topological data of 3D (property) situation on multilevel uses of lands in 3D cadastre systems, and a conceptual 3D cadastral model in Korea to design a conceptual schema for a 3D cadastre. Lastly, this paper presents the results of an experimental implementation of the 3D Cadastre to perform topological analyses based on 3D Network Data Model to identify spatial neighbors.

Segmentation and Classification of Lidar data

  • Tseng, Yi-Hsing;Wang, Miao
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.153-155
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    • 2003
  • Laser scanning has become a viable technique for the collection of a large amount of accurate 3D point data densely distributed on the scanned object surface. The inherent 3D nature of the sub-randomly distributed point cloud provides abundant spatial information. To explore valuable spatial information from laser scanned data becomes an active research topic, for instance extracting digital elevation model, building models, and vegetation volumes. The sub-randomly distributed point cloud should be segmented and classified before the extraction of spatial information. This paper investigates some exist segmentation methods, and then proposes an octree-based split-and-merge segmentation method to divide lidar data into clusters belonging to 3D planes. Therefore, the classification of lidar data can be performed based on the derived attributes of extracted 3D planes. The test results of both ground and airborne lidar data show the potential of applying this method to extract spatial features from lidar data.

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Surface Deformation by using 3D Target Curve for Virtual Spatial Design (가상 공간 디자인을 위한 3차원 목표곡선을 이용한 곡면 변형)

  • Kwon, Jung-Hoon;Lee, Jeong-In;Chai, Young-Ho
    • Journal of KIISE:Software and Applications
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    • v.33 no.10
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    • pp.868-876
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    • 2006
  • 2D input data have to be converted into 3D data by means of some functions and menu system in 2D input modeling system. But data in 3D input system for virtual spatial design can be directly connected to the 3D modeling data. Nevertheless, efficient surface modeling and deformation algorithm for the 3D input modeling system are not proposed yet. In this paper, problems of conventional NURBS surface deformation methods which can occur when applied in the 3D input modeling system are introduced. And NURBS surface deformation by 3D target curves, in which the designer can easily approach, are suggested. Designer can efficiently implement the virtual spatial sketching and design by using the proposed deformation algorithm.

Analysis of the Increase of Matching Points for Accuracy Improvement in 3D Reconstruction Using Stereo CCTV Image Data

  • Moon, Kwang-il;Pyeon, MuWook;Eo, YangDam;Kim, JongHwa;Moon, Sujung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.35 no.2
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    • pp.75-80
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    • 2017
  • Recently, there has been growing interest in spatial data that combines information and communication technology with smart cities. The high-precision LiDAR (Light Dectection and Ranging) equipment is mainly used to collect three-dimensional spatial data, and the acquired data is also used to model geographic features and to manage plant construction and cultural heritages which require precision. The LiDAR equipment can collect precise data, but also has limitations because they are expensive and take long time to collect data. On the other hand, in the field of computer vision, research is being conducted on the methods of acquiring image data and performing 3D reconstruction based on image data without expensive equipment. Thus, precise 3D spatial data can be constructed efficiently by collecting and processing image data using CCTVs which are installed as infrastructure facilities in smart cities. However, this method can have an accuracy problem compared to the existing equipment. In this study, experiments were conducted and the results were analyzed to increase the number of extracted matching points by applying the feature-based method and the area-based method in order to improve the precision of 3D spatial data built with image data acquired from stereo CCTVs. For techniques to extract matching points, SIFT algorithm and PATCH algorithm were used. If precise 3D reconstruction is possible using the image data from stereo CCTVs, it will be possible to collect 3D spatial data with low-cost equipment and to collect and build data in real time because image data can be easily acquired through the Web from smart-phones and drones.

Comparative Analysis of 3D Spatial Data Models (3차원 공간정보 데이터 모델 비교 분석)

  • Park, Se-Ho;Lee, Ji-Yeong
    • Spatial Information Research
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    • v.17 no.3
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    • pp.277-285
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    • 2009
  • Each system should have a suitable data model about their purpose for efficiently managing, analyzing, and manipulating data. And the usable range of application is determined by the data model, and suitable data models are being developed for each application. In GIS, diversity spatial data model is being developed too. The accuracy and update of the spatial data would be important for applying efficient application as well as the data modeling is important as constructing the spatial data structure. Therefore, the purposes of this research are to 1)compare domestic spatial data models with oversea spatial data models about their geometry model, topology model and visualizing method of 3D spatial data 2)to compare the features of the data model by analyzing each data structures. We 3)compare and analyze features of each spatial data models via the quantitative analysis of each spatial data models.

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Fast Estimation of Three-dimensional Spatial Light Intensity Distribution at the User Position of an Autostereoscopic 3D Display by Combining the Data of Two-dimensional Spatial Light Intensity Distributions

  • Hyungki Hong
    • Current Optics and Photonics
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    • v.8 no.3
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    • pp.307-312
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    • 2024
  • Measuring the three-dimensional (3D) spatial light intensity distribution of an autostereoscopic multiview 3D display at the user position is time-consuming, as luminance has to be measured at different positions around the user position. This study investigates a method to quickly estimate the 3D distribution at the user position. For this purpose, a measurement setup using a white semitransparent diffusing screen or a two-dimensional (2D) spatial sensor was devised to measure the 2D light intensity distribution at the user position. Furthermore, the 3D spatial light intensity distribution at the user position was estimated from these 2D distributions at different viewing distances. From the estimated 3D distribution, the characteristics of autostereoscopic 3D display performance can be derived and the candidate positions for further accurate measurement can be quickly determined.

Organizing Lidar Data Based on Octree Structure

  • Wang, Miao;Tseng, Yi-Hsing
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.150-152
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    • 2003
  • Laser scanned lidar data record 3D surface information in detail. Exploring valuable spatial information from lidar data is a prerequisite task for its applications, such as DEM generation and 3D building model reconstruction. However, the inherent spatial information is implicit in the abundant, densely and randomly distributed point cloud. This paper proposes a novel method to organize point cloud data, so that further analysis or feature extraction can proceed based on a well organized data model. The principle of the proposed algorithm is to segment point cloud into 3D planes. A split and merge segmentation based on the octree structure is developed for the implementation. Some practical airborne and ground lidar data are tested for demonstration and discussion. We expect this data organization could provide a stepping stone for extracting spatial information from lidar data.

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X3D Based Web Visualization by Data Fusion of 3D Spatial Information and Video Sequence (3D 공간정보와 비디오 융합에 의한 X3D기반 웹 가시화)

  • Sohn, Hong-Gyoo;Kim, Seong-Sam;Yoo, Byoung-Hyun;Kim, Sang-Min
    • Journal of Korean Society for Geospatial Information Science
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    • v.17 no.4
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    • pp.95-103
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    • 2009
  • Global interests for construction of 3 dimensional spatial information has risen due to development of measurement sensors and data processing technologies. In spite of criticism for the violation of personal privacy, CCTV cameras equipped in outdoor public space of urban area are used as a fundamental sensor for traffic management, crime prevention or hazard monitoring. For safety guarantee in urban environment and disaster prevention, a surveillance system integrating pre-constructed 3 dimensional spatial information with CCTV data or video sequence is needed for monitoring and observing emergent situation interactively in real time. In this study, we proposed applicability of the prototype system for web visualization based on X3D, an international standard of real time web visualization, by integrating 3 dimensional spatial information with video sequence.

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Implementation of an open platform for 3D spatial information based on WebGL

  • Lee, Ahyun;Jang, Insung
    • ETRI Journal
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    • v.41 no.3
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    • pp.277-288
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    • 2019
  • VWorld is run by the Ministry of Land, Infrastructure, and Transport of South Korea and provides national spatial information, such as aerial images, digital elevation models, and 3D structural models. We propose herein an open platform for 3D spatial information based on WebGL using spatial information from VWorld. WebGL is a web-based graphics library and has the advantage of being compatible with various web browsers. Our open platform is also compatible with various web browsers. Accordingly, it is easily accessible via the VWorld site and uses the three-dimensional (3D) map program. In this study, we describe the proposed platform configuration, and the requests, management, and visualization approaches for VWorld spatial information data. Our aim is to establish an approach that will provide a stable rendering speed even on a low-end personal computer without a graphics processing unit based on a quadtree structure. We expect that users will be able to visualize 3D spatial information through the VWorld open platform, and that the proposed platform will become the basis for various applications.