• Title/Summary/Keyword: 3D object modeling

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Boundary Depth Estimation Using Hough Transform and Focus Measure (허프 변환과 초점정보를 이용한 경계면 깊이 추정)

  • Kwon, Dae-Sun;Lee, Dae-Jong;Chun, Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.1
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    • pp.78-84
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    • 2015
  • Depth estimation is often required for robot vision, 3D modeling, and motion control. Previous method is based on the focus measures which are calculated for a series of image by a single camera at different distance between and object. This method, however, has disadvantage of taking a long time for calculating the focus measure since the mask operation is performed for every pixel in the image. In this paper, we estimates the depth by using the focus measure of the boundary pixels located between the objects in order to minimize the depth estimate time. To detect the boundary of an object consisting of a straight line and a circle, we use the Hough transform and estimate the depth by using the focus measure. We performed various experiments for PCB images and obtained more effective depth estimation results than previous ones.

PPO 객체 진화에 의한 BPR-ISP-A/D 통합 방법론

  • 김영석;서효원
    • Proceedings of the CALSEC Conference
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    • 1999.07a
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    • pp.215-231
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    • 1999
  • CALS, Enterprise Integration, Virtual Enterprise 등을 구현하는데 있어서 BPR (business process re-engineering), ISP (Information Strategy Planning), Analysis/Design 등은 필수 적이다. 이러한 BPR, ISP, A/D 추진하는데 있어서 각 단계의 산출물은 유연하게 연계되지 못한다. 그 이유는 각 단계가 접근하는 초점이 다르고, 산출물의 성격이 다르며, 무엇보다도 각 단계의 전문가가 다르기 때문에 발생한다. 현재 기업이 각 단계를 추진할 때에는 반복적인 피드백을 통하여 정보를 공유하거나, 각 단계의 정보 연계가 제대로 이루어지지 않는다. 이러한 문제를 해결하기 위하여 BPR-ISP-A/D의 정보 연계를 유연하게 하기 위하여 PPO (Product-Process-Organization) 객체 진화에 의한 통합 방법론을 제안 하고자 한다. 그 과정은 1) Real world 정보를 PPO 객체로 정의하고, 2) PPO 객체를 기반으로 BPR을 수행하여 TO-BE model 을 만드는 동시에, 3) PPO TO-BE model과 함께 IT Architecture를 정의하며, 4) PPO 객체를 기반으로 Analysis and Design 과정을 통하여 Application system 객체 및 Data 객체를 정의한다. 이때 PPO 객체는 Real-world 객체에서 Application system 객체 및 Data 객체로 진화하게 되고 BPR-ISP-A/D의 seamless 통합이 이루어진다. 여기서, 단계 1) 과 2)는 System Engineering을 통하여 이루어진다. ARIS(Architecture of Integrated Information System, Dr. A-W. Scheer, 1998)개념을 도입하여 실세계를 정해진 규약에 따라 Model로 Mapping하고, 생성된 Model을 바탕으로 BPR을 수행하여 개선된 Model을 산출해 낸다. 단계 3)은, IE (Information Engineering, James Martine, 1990) 의 ISP가 도입되어, 설계업무를 지원하기위한 기본적인 시스템 구조를 구상하게 된다. 이와 함께 IT Model을 구성하게 되는데, 객체지향적 접근 방법으로 Model을 생성하고 UML(Unified Modeling Language)을 Tool로 사용한다. 단계 4)는 Software Engineering 관점으로 접근한다. 이는 최종산물이라고 볼 수 있는 설계업무 지원 시스템을 Design하는 과정으로, 시스템에 사용될 데이터를 Design하는 과정과, 데이터를 기반으로 한 기능을 Design하는 과정으로 나눈다. 이를 통해 생성된 Model에 따라 최종적으로 Coding을 통하여 실제 시스템을 구축하게 된다.

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Performance Evaluation of Denoising Algorithms for the 3D Construction Digital Map (건설현장 적용을 위한 디지털맵 노이즈 제거 알고리즘 성능평가)

  • Park, Su-Yeul;Kim, Seok
    • Journal of KIBIM
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    • v.10 no.4
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    • pp.32-39
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    • 2020
  • In recent years, the construction industry is getting bigger and more complex, so it is becoming difficult to acquire point cloud data for construction equipments and workers. Point cloud data is measured using a drone and MMS(Mobile Mapping System), and the collected point cloud data is used to create a 3D digital map. In particular, the construction site is located at outdoors and there are many irregular terrains, making it difficult to collect point cloud data. For these reasons, adopting a noise reduction algorithm suitable for the characteristics of the construction industry can affect the improvement of the analysis accuracy of digital maps. This is related to various environments and variables of the construction site. Therefore, this study reviewed and analyzed the existing research and techniques on the noise reduction algorithm. And based on the results of literature review, performance evaluation of major noise reduction algorithms was conducted for digital maps of construction sites. As a result of the performance evaluation in this study, the voxel grid algorithm showed relatively less execution time than the statistical outlier removal algorithm. In addition, analysis results in slope, space, and earth walls of the construction site digital map showed that the voxel grid algorithm was relatively superior to the statistical outlier removal algorithm and that the noise removal performance of voxel grid algorithm was superior and the object preservation ability was also superior. In the future, based on the results reviewed through the performance evaluation of the noise reduction algorithm of this study, we will develop a noise reduction algorithm for 3D point cloud data that reflects the characteristics of the construction site.

Point Cloud Segmentation Method Considering Wall Finishing Information Using 2D Material Segmentation and Back Projection

  • Sung-Jae Bae;Minji Song;Eunji Choi;Chan-Jin Kim;Junbeom Park;Young suk Kim;Jung-Yeol Kim
    • International conference on construction engineering and project management
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    • 2024.07a
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    • pp.613-620
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    • 2024
  • Progress monitoring and quality control using as-built Building Information Modeling (BIM) are actively applied to construction industry. In order to effectively perform these management works, Scan-to-BIM is a key process to create as-built BIM models. In the Scan-to-BIM process point cloud segmentation is a critical task to identify object semantic information from point cloud data. While segmentation methods of main structural components such as walls, slabs, columns, and ceilings are actively studied and used for the management works, segmentation considering the finishing works of these components is still challenging. Therefore, this study proposed a point cloud segmentation method that considered wall finishing information, utilizing both point clouds and 2D images acquired from terrestrial laser scanners. The proposed method is composed of three main steps: 1) Segmenting as-built point clouds of main structural components through the comparison with as-planned BIM. 2) Applying a SegFormer material segmentation model that trained with wall finishing data (2D images) from terrestrial laser scanners to segment wall finishing information in 2D images. 3) Labelling the point cloud with recognized wall finishing information using back projection based on camera pose data. The proposed method is expected to contribute to the enchantment of the level of details (LoD) in as-built BIM and be useful in progress monitoring and quality control of finishing works.

BIM-Based Quantity Takeoff and Cost Estimation Guidelines for Reinforced Concrete Structures (철근콘크리트골조 BIM기반 수량산출 및 견적 가이드라인 수립)

  • Joo, Seon U;Kim, Chee-Kyeong;Kim, Si-Uk;Noh, Jun-Oh
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.30 no.6
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    • pp.567-576
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    • 2017
  • The object of this research is an establishment of BIM-based quantity takeoff(QTO) and cost estimation guidelines for reinforcement concrete structures focused on improvement of field applicability in transition period from 2D drawing-based environment to 3D BIM-based environment. Preliminary studies on existing guidelines and standards for BIM modeling, QTO and cost estimation of reinforcement concrete structures are performed, and then a standardization of BIM-based cost estimation process is proposed through comparative analysis between 2D drawing-based cost estimation process and 3D BIM-based. In addition, modeling, QTO, and cost estimation processes of cost-BIM model for RC structures are conducted. The contributions of this research and the guidelines suggested by this research are 1) lowering barriers to entity to the new BIM-based environment for small size companies, 2) reducing construction cost by a close estimate, 3) establishing the foundation for integrated management of informations through construction project life cycle, 4) and ultimately, developing the BIM ecosystems.

Design of an Effective Bump Mapping Hardware Architecture Using Angular Operation (각 연산을 이용한 효과적인 범프 매핑 하드웨어 구조 설계)

  • 이승기;박우찬;김상덕;한탁돈
    • Journal of KIISE:Computer Systems and Theory
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    • v.30 no.11
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    • pp.663-674
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    • 2003
  • Bump mapping is a technique that represents the detailed parts of the object surface, such as a perturberance of the skin of a peanut, using the geometry mapping without complex modeling. However, the hardware implementation for bump mapping is considerable, because a large amount of per pixel computation, including the normal vector shading, is required. In this paper, we propose a new bump mapping algorithm using the polar coordinate system and its hardware architecture. Compared with other existing architectures, our approach performs bump mapping effectively by using a new vector rotation method for transformation into the reference space and minimizing illumination calculation. Consequently, our proposed architecture reduces a large amount of computation and hardware requirements.

Temperature Field and Thermal Stress Simulation of Solid Brake Disc Based on Three-dimensional Model (3차원 브레이크 디스크 모델의 온도 분포와 열응력 시뮬레이션에 관한 연구)

  • Hwang, Pyung;Seo, Hee-Chang;Wu, Xuan
    • Tribology and Lubricants
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    • v.26 no.1
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    • pp.31-36
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    • 2010
  • The brake system is an important part of the automobile safety system. The disc brake system is divided into two parts: a rotating axi-symmetrical disc, and the stationary pads. The frictional heat, which is generated on the interface of the disc and pads, can cause high temperatures during the braking process. The frictional heat source (the pads) is moving on the disc and the location is time-dependent. Our study applies a moving heat source, which is defined by the time and space variable on the frictional surface, in order to simulate the frictional heat behavior accurately during the braking process. The object of the present work is the determination of the temperature distribution and thermal stress in the solid disc by non-axisymmetric 3D modeling for repeated braking.

A Relative Depth Estimation Algorithm Using Focus Measure (초점정보를 이용한 패턴간의 상대적 깊이 추정알고리즘 개발)

  • Jeong, Ji-Seok;Lee, Dae-Jong;Shin, Yong-Nyuo;Chun, Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.23 no.6
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    • pp.527-532
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    • 2013
  • Depth estimation is an essential factor for robot vision, 3D scene modeling, and motion control. The depth estimation method is based on focusing values calculated in a series of images by a single camera at different distance between lens and object. In this paper, we proposed a relative depth estimation method using focus measure. The proposed method is implemented by focus value calculated for each image obtained at different lens position and then depth is finally estimated by considering relative distance of two patterns. We performed various experiments on the effective focus measures for depth estimation by using various patterns and their usefulness.

Automatic Building Extraction Using LIDAR and Aerial Image (LIDAR 데이터와 수치항공사진을 이용한 건물 자동추출)

  • Jeong, Jae-Wook;Jang, Hwi-Jeong;Kim, Yu-Seok;Cho, Woo-Sug
    • Journal of Korean Society for Geospatial Information Science
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    • v.13 no.3 s.33
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    • pp.59-67
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    • 2005
  • Building information is primary source in many applications such as mapping, telecommunication, car navigation and virtual city modeling. While aerial CCD images which are captured by passive sensor(digital camera) provide horizontal positioning in high accuracy, it is far difficult to process them in automatic fashion due to their inherent properties such as perspective projection and occlusion. On the other hand, LIDAR system offers 3D information about each surface rapidly and accurately in the form of irregularly distributed point clouds. Contrary to the optical images, it is much difficult to obtain semantic information such as building boundary and object segmentation. Photogrammetry and LIDAR have their own major advantages and drawbacks for reconstructing earth surfaces. The purpose of this investigation is to automatically obtain spatial information of 3D buildings by fusing LIDAR data with aerial CCD image. The experimental results show that most of the complex buildings are efficiently extracted by the proposed method and signalize that fusing LIDAR data and aerial CCD image improves feasibility of the automatic detection and extraction of buildings in automatic fashion.

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Development of an Open BIM-Based Korean Traditional House Component Library Using an XML Parametric Information Approach

  • Kim, In-Han;Jin, Jin;Seo, Jong-Cheol;Kim, Kwan-Soo
    • Architectural research
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    • v.13 no.3
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    • pp.11-18
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    • 2011
  • With the rapid development of computer technology and ongoing destruction of traditional buildings, more and more attention is paid to digital methods for the design and preservation of traditional buildings. Unlike 2D methods, Building Information Modeling (BIM) provides an object-oriented and parametric digital representation way for traditional building components. However, one of the main limitations currently is that parametric information cannot be exchanged between BIM software packages. Therefore each kind of software must have their own parametric library which causes extensive works. In this research, the authors developed an open BIM-based library using an XML parametric approach to solve the above problems, represented traditional components according to an XML schema, and parametrically implemented these XML files in a browser which can be accessed by users for their easy component edit and selection. And then based on the XML file of one component, implemented an Add-on in ArchiCAD for users to parametrically edit and directly utilize. Thus based on these XML files, a browser for users' view and selection purpose and an add-on for users' application purpose were developed. Future research will focus on implementing these XML files in other BIM tools like Revit and Digital Project. If the whole library was to be completed based on this XML approach, an open BIM-based library would be established that all kinds of BIM software users could apply this parametric library for easy modeling of traditional houses.