• Title/Summary/Keyword: 3D triangulation

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Stress Intensity Factor Analysis System for 3D Cracks Using Fuzzy Mesh (퍼지메쉬를 이용한 3차원 균열에 대한 응력확대계수 해석 시스템)

  • Lee, Joon-Seong;Lee, Eun-Chul;Choi, Yoon-Jong;Lee, Yang-Chang
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.1
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    • pp.122-126
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    • 2008
  • Integrating a 3D solid modeler with a general purpose FEM code, an automatic stress intensity factor analysis system of the 3D crack problems has been developed. A geometry model, i.e. a solid containing one or several 3D cracks is defined. Several distributions of local node density are chosen, and then automatically superposed on one another over the geometry model by using the fuzzy knowledge processing. Nodes are generated and quadratic tetrahedral solid elements are generated by the Delaunay triangulation techniques. Finally, the complete finite element(FE) model generated, and a stress analysis is performed. This paper describes the methodologies to realize such functions, and demonstrates the validity of the present system.

Hard calibration of a structured light for the Euclidian reconstruction (3차원 복원을 위한 구조적 조명 보정방법)

  • 신동조;양성우;김재희
    • Proceedings of the IEEK Conference
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    • 2003.11a
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    • pp.183-186
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    • 2003
  • A vision sensor should be calibrated prior to infer a Euclidian shape reconstruction. A point to point calibration. also referred to as a hard calibration, estimates calibration parameters by means of a set of 3D to 2D point pairs. We proposed a new method for determining a set of 3D to 2D pairs for the structured light hard calibration. It is simply determined based on epipolar geometry between camera image plane and projector plane, and a projector calibrating grid pattern. The projector calibration is divided two stages; world 3D data acquisition Stage and corresponding 2D data acquisition stage. After 3D data points are derived using cross ratio, corresponding 2D point in the projector plane can be determined by the fundamental matrix and horizontal grid ID of a projector calibrating pattern. Euclidian reconstruction can be achieved by linear triangulation. and experimental results from simulation are presented.

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3D Coordinates Acquisition by using Multi-view X-ray Images (다시점 X선 영상을 이용한 3차원 좌표 획득)

  • Yi, Sooyeong;Rhi, Jaeyoung;Kim, Soonchul;Lee, Jeonggyu
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.10
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    • pp.886-890
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    • 2013
  • In this paper, a 3D coordinates acquisition method for a mechanical assembly is developed by using multiview X-ray images. The multi-view X-ray images of an object are obtained by a rotary table. From the rotation transformation, it is possible to obtain the 3D coordinates of corresponding edge points on multi-view X-ray images by triangulation. The edge detection algorithm in this paper is based on the attenuation characteristic of the X-ray. The 3D coordinates of the object points are represented on a graphic display, which is used for the inspection of a mechanical assembly.

Determination and Visualization of Three-Dimensional Shape Based on Images (영상 기반 3차원 형상 추출 및 가시화)

  • Cho Jung-Ho;Song Moon-Ho
    • 한국가시화정보학회:학술대회논문집
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    • 2002.11a
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    • pp.15-18
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    • 2002
  • We propose an image based three-dimensional shape determination system. The shape, and thus the three-dimensional coordinate information of the 3-D object, is determined solely from captured images of the 3-D object from a prescribed set of viewpoints. The approach is based on the shape from silhouette (SFS) technique and the efficacy of the SFS method is tested using a sample data set. This system may be used to visualize the 3-D object efficiently, or to quickly generate initial CAD data for reverse engineering purposes. The proposed system potentially may be used in three dimensional design applications such as 3-D animation and 3-D games.

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Development of Measurement Method for Micro Burr Geometry (미소 버 형상 측정 방법 개발)

  • 김원섭;고성림
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.407-410
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    • 2002
  • Triangulation method, conoscopic holography method and interferometry method are analyzed for effective measurement of micro burr geometry, which is formed in micro drilling. To select proper sensor, cylinder with 0.5mm diameter is measured and the result shows that conoscopic holography method is effective for measuring highly inclined surface. Burr with 1.0mm height and 30$\mu\textrm{m}$ height are measured by all methods. The conoscopic holography method is probed to be most proper method for measuring micro burr. A Program for 3D display of measured burr is developed.

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Development of Effective Measurement Method for Burr Geometry (효율적인 버 형상 측정방법 개발)

  • 고성림;김원섭
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.6
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    • pp.81-87
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    • 2003
  • Triangulation method, conoscopic holography method and interferometry method are analyzed for effective measurement of micro burr geometry, which is formed in micro drilling. To select proper sensor, the cross section of a cylinder with 0.5mm diameter is measured and the result shows that conoscopic holography method is effective for measuring highly inclined surface in cylinder. Burrs with 1.0mm and 30${\mu}{\textrm}{m}$ height are measured by three suggested methods. As a result, the conoscopic holography method is proved to be most proper in measuring burr geometry. Burr measurement system is developed, which consists of conoscopic laser sensor, X-Y table, controller and burr measurement program. Burrs can be measured automatically and the result is displayed in 3D shape

Utilizing Digital Close-Range Images for Road Slope Monitoring (도로사면의 모니터링을 위한 근거리 디지털 영상의 활용)

  • 이진덕;연상호;이호찬
    • Proceedings of the Korea Contents Association Conference
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    • 2004.05a
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    • pp.151-160
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    • 2004
  • This research addresses the experimental application of the digital close-range photogrammetric technique for 3D deformation measurement and visualization of road slope. The 3D displacements were extracted by the photo-triangulation based on the bundle adjustment method using the digital imagery. In addition, we produced the digital elevation models, the digital orthorectified images and the 3D perspective view images of the slope employing a digital photogrammetric workstation. Also the inclination map of the slope was generated as the data for monitoring and managing dangerous slopes.

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Multi-facet 3D Scanner Based on Stripe Laser Light Image (선형 레이저 광 영상기반 다면 3 차원 스캐너)

  • Ko, Young-Jun;Yi, Soo-Yeong
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.10
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    • pp.811-816
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    • 2016
  • In light of recently developed 3D printers for rapid prototyping, there is increasing attention on the 3D scanner as a 3D data acquisition system for an existing object. This paper presents a prototypical 3D scanner based on a striped laser light image. In order to solve the problem of shadowy areas, the proposed 3D scanner has two cameras with one laser light source. By using a horizontal rotation table and a rotational arm rotating about the latitudinal axis, the scanner is able to scan in all directions. To remove an additional optical filter for laser light pixel extraction of an image, we have adopted a differential image method with laser light modulation. Experimental results show that the scanner's 3D data acquisition performance exhibited less than 0.2 mm of measurement error. Therefore, this scanner has proven that it is possible to reconstruct an object's 3D surface from point cloud data using a 3D scanner, enabling reproduction of the object using a commercially available 3D printer.

3D Map Building of The Mobile Robot Using Structured Light

  • Lee, Oon-Kyu;Kim, Min-Young;Cho, Hyung-Suck;Kim, Jae-Hoon
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.123.1-123
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    • 2001
  • For Autonomous navigation of the mobile robots, the robots' capability to recognize 3D environment is necessary. In this paper, an on-line 3D map building method for autonomous mobile robots is proposed. To get range data on the environment, we use an sensor system which is composed of a structured light and a CCD camera based on optimal triangulation. The structured laser is projected as a horizontal strip on the scene. The sensor system can rotate $\pm$ $30{\Circ}$ with a goniometer. Scanning the system, we get the laser strip image for the environments and update planes composing the environment by some image processing steps. From the laser strip on the captured image, we find a center point of each column, and make line segments through blobbing these center poings. Then, the planes of the environments are updated. These steps are done on-line in scanning phase. With the proposed method, we can efficiently get a 3D map about the structured environment.

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