• 제목/요약/키워드: Geometry reconstruction

검색결과 128건 처리시간 0.021초

New Geometric modeling method: reconstruction of surface using Reverse Engineering techniques

  • Jihan Seo
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 1999년도 추계학술대회
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    • pp.565-574
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    • 1999
  • In reverse engineering area, it is rapidly developing reconstruction of surfaces from scanning or digitizing data, but geometric models of existing objects unavailable many industries. This paper describes new methodology of reverse engineering area, good strategies and important algorithms in reverse engineering area. Furthermore, proposing reconstruction of surface technique is presented. A method find base geometry and blending surface between them. Each based geometry is divided by triangular patch which are compared their normal vector for face grouping. Each group is categorized analytical surface such as a part of the cylinder, the sphere, the cone, and the plane that mean each based geometry surface. And then, each based geometry surface is implemented infinitive surface. Infinitive average surface's intersections are trimmed boundary representation model reconstruction. This method has several benefits such as the time efficiency and automatic functional modeling system in reverse engineering. Especially, it can be applied 3D scanner and 3D copier.

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3차원 형태 특징의 사전 학습을 이용한 기하 복원 (Geometry Reconstruction Using Dictionary Learning of 3D Shape Features)

  • 황정민;윤여진;최수미
    • 한국컴퓨터그래픽스학회논문지
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    • 제23권1호
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    • pp.57-65
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    • 2017
  • 본 논문에서는 포인트 클라우드로 구성된 모델 내의 오류를 줄이고, 기하학적 형태를 복원하기 위한 사전 학습 방법을 제시한다. 이를 위해, 대상 모델과 유사한 형태 특징을 갖는 모델로부터 3차원 특징 정보를 추출하여 사전을 구성하고, 이를 통해 기하 복원을 수행한다. 본 연구에서 제시한 방법은 다음과 같이 세 단계로 구성된다. 첫째, 유사 모델로부터 기하 패치를 구성하는 단계, 둘째, 획득한 패치의 3차원 형태 특징을 학습하는 단계, 셋째, 학습된 사전을 이용하여 기하를 복원하는 단계이며, 최종적으로 원본 모델과 복원 결과의 오차를 계산하며, 복원 결과의 정확도를 확인한다.

Reverse Engineering 기술을 적용한 복합면의 재구성 정보 추출을 위한 연구 (The Study on Reconstruction of Composite Surfaces by Reverse Engineering Techniques)

  • 서지한;이홍철;손영태;박세형
    • 산업공학
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    • 제12권2호
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    • pp.205-209
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    • 1999
  • In reverse engineering area, the reconstruction of surfaces from scanned or digitized data is being developed, but geometric model of existing objects is not available in industries. This paper presents the new approach to the reconstruction of surface technique. A proposed methodology finds base geometry and blends surface between them. Each based geometry is divided by tri-angular patches which are compared with their normal vector for face grouping. Each group is categorized analytical surface such as a part of cylinder, sphere and cone, and plane shapes to represent the based geometry surface. And then, each based geometry surface is implemented to the infinitive surface. Infinitive surface's intersections are trimmed by boundary representation model reconstruction. This method has several benefits such as time efficiency and automatic functional modeling system in reverse engineering. Especially, it can be directly applied 3D fax and 3D copier.

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스테레오 영상을 이용한 자기보정 및 3차원 형상 구현 (3D Reconstruction and Self-calibration based on Binocular Stereo Vision)

  • 후영영;정경석
    • 한국산학기술학회논문지
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    • 제13권9호
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    • pp.3856-3863
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    • 2012
  • 스테레오 영상으로부터 3차원 형상을 구현함에 있어 사용자의 개입을 최소로 필요로 하는 기법을 개발하였다. 형상구현은 특정 기하학 그룹을 평가하는 3단계로 이루어진다. 1단계는 영상에 존재하는 epipolar 기하 평가로 각 영상에서의 특정점들을 일치시킨다. 2단계는 소실점 방법을 이용하여 투영공간에서 특정평면을 찾는 affine 기하 평가이다. 3단계에서는 카메라의 자기보정을 포함하며 3차원 모델이 얻어질 수 있는 계량 기하 변수를 구한다. 이 방법의 장점은 형상구현을 위해 스테레오 영상을 보정할 필요가 없는 것으로, 그 구현가능성을 실증하였다.

절차적 멀티카메라 기하 및 색상 정보 보정 툴킷 (Procedural Geometry Calibration and Color Correction ToolKit for Multiple Cameras)

  • Kang, Hoonjong;Jo, Dongsik
    • 한국정보통신학회논문지
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    • 제25권4호
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    • pp.615-618
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    • 2021
  • Recently, 3D reconstruction of real objects with multi-cameras has been widely used for many services such as VR/AR, motion capture, and plenoptic video generation. For accurate 3D reconstruction, geometry and color matching between multiple cameras will be needed. However, previous calibration and correction methods for geometry (internal and external parameters) and color (intensity) correction is difficult for non-majors to perform manually. In this paper, we propose a toolkit with procedural geometry calibration and color correction among cameras with different positions and types. Our toolkit consists of an easy user interface and turned out to be effective in setting up multi-cameras for reconstruction.

Comparison of Interpolation Methods for Reconstructing Pin-wise Power Distribution in Hexagonal Geometry

  • Lee, Hyung-Seok;Yang, Won-Sik
    • Nuclear Engineering and Technology
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    • 제31권3호
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    • pp.303-313
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    • 1999
  • Various interpolation methods have been compared for reconstruction of LMR pin power distributions in hexagonal geometry. Interpolation functions are derived for several combinations of nodal quantities and various sets of basis functions, and tested against fine mesh calculations. The test results indicate that the interpolation functions based on the sixth degree polynomial are quite accurate, yielding maximum interpolation errors in power densities less than 0.5%, and maximum reconstruction errors less than 2% for driver assemblies and less than 4% for blanket assemblies. The main contribution to the total reconstruction error is made tv the nodal solution errors and the comer point flux errors. For the polynomial interpolations, the basis monomial set needs to be selected such that the highest powers of x and y are as close as possible. It is also found that polynomials higher than the seventh degree are not adequate because of the oscillatory behavior.

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Adaptive Algorithm in Image Reconstruction Based on Information Geometry

  • Wang, Meng;Ning, Zhen Hu;Yu, Jing;Xiao, Chuang Bai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권2호
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    • pp.461-484
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    • 2021
  • Compressed sensing in image reconstruction has attracted attention and many studies are proposed. As we know, adding prior knowledge about the distribution of the support on the original signal to CS can improve the quality of reconstruction. However, it is still difficult for a recovery framework adjusts its strategy for exploiting the prior knowledge efficiently according to the current estimated signals in serial iterations. With the theory of information geometry, we propose an adaptive strategy based on the current estimated signal in each iteration of the recovery. We also improve the performance of existing algorithms through the adaptive strategy for exploiting the prior knowledge according to the current estimated signal. Simulations are presented to validate the results. In the end, we also show the application of the model in the image.

Sparse-View CT Image Recovery Using Two-Step Iterative Shrinkage-Thresholding Algorithm

  • Chae, Byung Gyu;Lee, Sooyeul
    • ETRI Journal
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    • 제37권6호
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    • pp.1251-1258
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    • 2015
  • We investigate an image recovery method for sparse-view computed tomography (CT) using an iterative shrinkage algorithm based on a second-order approach. The two-step iterative shrinkage-thresholding (TwIST) algorithm including a total variation regularization technique is elucidated to be more robust than other first-order methods; it enables a perfect restoration of an original image even if given only a few projection views of a parallel-beam geometry. We find that the incoherency of a projection system matrix in CT geometry sufficiently satisfies the exact reconstruction principle even when the matrix itself has a large condition number. Image reconstruction from fan-beam CT can be well carried out, but the retrieval performance is very low when compared to a parallel-beam geometry. This is considered to be due to the matrix complexity of the projection geometry. We also evaluate the image retrieval performance of the TwIST algorithm -sing measured projection data.

Reconstruction algorithm for archaeological fragments using slope features

  • Rasheed, Nada A.;Nordin, Md Jan
    • ETRI Journal
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    • 제42권3호
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    • pp.420-432
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    • 2020
  • The reconstruction of archaeological fragments in 3D geometry is an important problem in pattern recognition and computer vision. Therefore, we implement an algorithm with the help of a 3D model to perform reconstruction from the real datasets using the slope features. This approach avoids the problem of gaps created through the loss of parts of the artifacts. Therefore, the aim of this study is to assemble the object without previous knowledge about the form of the original object. We utilize the edges of the fragments as an important feature in reconstructing the objects and apply multiple procedures to extract the 3D edge points. In order to assign the positions of the unknown parts that are supposed to match, the contour must be divided into four parts. Furthermore, to classify the fragments under reconstruction, we apply a backpropagation neural network. We test the algorithm on several models of ceramic fragments. It achieves highly accurate results in reconstructing the objects into their original forms, in spite of absent pieces.

평면도형 탐구의 기본 요소로서 삼각형의 재조명 (Revisiting Triangle : a Foundational Element of Plane Geometry)

  • 도종훈
    • 한국수학교육학회지시리즈A:수학교육
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    • 제46권4호
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    • pp.493-502
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    • 2007
  • What is a foundational element of plane geometry? Isn't it possible to constitute the contents of plane geometry from that element? In this paper, we suggest a view point that triangle is a foundational element of plane geometry. And take some examples of reconstruction of usually given contents and mathematical activity centered on the triangle in plane geometry.

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