• Title/Summary/Keyword: 2D 스캔 데이터

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Geometry-to-BIM Mapping Rule Definition for Building Plane BIM object (건축물 평면 형상에 대한 형상-to-BIM 맵핑 규칙 정의)

  • Kang, Tae-Wook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.236-242
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    • 2019
  • Recently, scanning projects have been carried out in various construction and construction fields for maintenance purposes. The point cloud generated by the scan results is composed of a number of points representing the object to be scanned. The process of extracting the necessary information, including dimensions, from such scan data is called paradox. The reverse engineering process of modeling a point cloud as BIM involves considerable manual work. Owing to the time-consuming reverse engineering nature of the work, the costs increase exponentially when rework requests are made, such as design changes. Reverse engineering automation technology can help improve these problems. On the other hand, the reverse design product is variable depending on the use, and the kind and detail level of the product may be different. This paper proposes the G2BM (Geometry-to-BIM mapping) rule definition method that automatically maps a BIM object from a primitive geometry to a BIM object. G2BM proposes a process definition and a customization method for reverse engineering BIM objects that consider the use case variability.

Digital Hologram Generating of 3D Object with Super-multi-light-source (초다광원 3차원 물체의 디지털 홀로그램 고속 생성)

  • Song, Joongseok;Kim, Changseob;Park, Jong-Il
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2015.07a
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    • pp.135-136
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    • 2015
  • 컴퓨터 생성 홀로그램(CGH: computer generated hologram) 기법은 기존의 광학계 장치와 변수들을 수학적으로 모델링하여 일반 범용 컴퓨터(PC: personal computer)로도 디지털 홀로그램을 생성할 수 있는 기술이다. 이 기술은 디지털 홀로그램의 해상도와 3D 물체의 광원 수에 따라 알고리즘의 연산량이 좌우되기 때문에, 실용적인 사용을 위해서 알고리즘의 연산량을 낮추거나 하드웨어의 연산 속도를 높이는 연구가 필수적이다. 본 논문에서는 초다광원 3D 물체의 디지털 홀로그램을 고속으로 생성할 수 있는 방법을 제안한다. 제안하는 방법은 한 개의 서버 PC와 다수의 클라이언트 PC들로 구성되어 있으며, 이들은 일반적으로 사용되는 범용 GPU (graphic processing unit)가 장착되어 있다. 서버에서 3D 물체의 광원을 스캔하여 데이터화 하고, 클라이언트 PC들의 연산 능력에 따라 광원 데이터를 분할하여 클라이언트들에게 각각 전송한다. 각각의 클라이언트들은 전송받은 데이터를 이용해 다중 GPU 기반의 CGH 연산을 수행하여 간섭 패턴들을 생성하고, 생성된 패턴들은 다시 서버 PC로 재전송된다. 서버 PC로 재전송 된 패턴들이 하나로 누적되면 디지털 홀로그램이 생성된다. 본 실험에서, 기존의 방법으로는 139,655개의 광원에 대해 $1,024{\times}1,024$ 해상도의 홀로그램을 생성하는데 약 2,250 ms가 걸린 반면, 제안하는 방법은 약 478 ms의 속도로 생성할 수 있음을 확인하였다.

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Fast 3D mesh generation using projection for line laser-based 3D Scanners (라인 레이저 기반 3차원 스캐너에서 투영을 이용한 고속 3D 메쉬 생성)

  • Lee, Kyungme;Yoo, Hoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.3
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    • pp.513-518
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    • 2016
  • This paper presents a fast 3D mesh generation method using projection for line laser-based 3D scanners. The well-known method for 3D mesh generation utilizes convex hulls for 4D vertices that is converted from the input 3D vertices. This 3D mesh generation for a large set of vertices requires a lot of time. To overcome this problem, the proposed method takes (${\theta}-y$) 2D depth map into account. The 2D depth map is a projection version of 3D data with a form of (${\theta}$, y, z) which are intermediately acquired by line laser-based 3D scanners. Thus, our 2D-based method is a very fast 3D mesh generation method. To evaluate our method, we conduct experiments with intermediate 3D vertex data from line-laser scanners. Experimental results show that the proposed method is superior to the existing method in terms of mesh generation speed.

Filtering Airborne Laser Scanning Data by Utilizing Adjacency Based on Scan Line (스캔 라인 기반의 인접 관계를 이용한 항공레이저측량 자료의 필터링)

  • Lee, Jeong-Ho;Yeom, Jun-Ho;Kim, Yong-Il
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.29 no.4
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    • pp.359-365
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    • 2011
  • This study aims at filtering ALS points into ground and non-ground effectively through labeling and window based algorithm by utilizing 2D adjacency based on scan line. Firstly, points adjacency is constructed through minimal search based on scan line. Connected component labeling algorithm is applied to classify raw ALS points into ground and non-ground by utilizing the adjacency structure. Then, some small objects are removed by morphology filtering, and isolated ground points are restored by IDW estimation. The experimental results shows that the method provides good filtering performance( about 97% accuracy) for diverse sites, and the overall processing takes less time than converting raw data into TIN or raster grid.

A Virtual Fitting System Using The Top and Bottom Image of Garment (상하의 의류 영상을 이용한 가상 의류 착의 시스템)

  • Choi, Ran;Cho, Chang-Suk
    • Journal of Korea Multimedia Society
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    • v.15 no.7
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    • pp.941-950
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    • 2012
  • A virtual garment fitting system which fits the top and bottom of a garment on 3D body data is introduced. This system uses the laser scanned 3D body data and the digital images photographed the front and back of a garment. The digital images are modeled to reflect tensions among particles in the images and the friction and gravity effects are considered in the fitting process to the body data. When a bottom is fitted, a virtual belt to hold the bottom in the waist is introduced since gravity effects pull down it. Also the process for fitting the top and bottom on layers is proposed here. The system has the strengths that it uses only the front and back image of a garment instead of using complicated patterns of a garment, and provides a realistic fit result as a 3D figure. As on-line retailing shop in present displays front and back images of garments, this system also does. However this system provides a differentiated service to user than present retailing shop as showing a 3D fit image. It will make a new trend in online shop retailing of garment.

A 3D Morphing Algorithm Using Straight Line Paths (직선형 경로를 이용한 3D 얼굴 모핑 알고리즘)

  • Lee, Jae-Yun;Jung, Chul-Hee;Lee, Myeong-Won
    • Proceedings of the Korean Information Science Society Conference
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    • 2008.06b
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    • pp.281-285
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    • 2008
  • 본 논문에서는 임의의 두 얼굴간의 얼굴 변형을 시뮬레이션하는 방법으로서 직선형 경로를 이용한 얼굴 모핑 알고리즘을 소개한다. 이 때 두 얼굴 모델은 서로 독립적으로 3D 스캔되어 텍스처매핑을 거쳐서 생성된 별도의 3D 모델로서, 본 알고리즘은 이러한 얼굴 모델들간의 버텍스와 폴리곤의 개수와는 상관없이 자연스러운 모핑을 구현하는 특징을 갖는다. 알고리즘의 주요 기능으로는 절단면의 생성, 3 차원 메쉬의 2D 메쉬화, 대응 영역의 설정, 대응 폴리곤 탐색 및 보간 데이터 추출등이 포함된다.

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3D dress modeling and Its 2D pattern development to activate the use of 3D virtual design process (가상 의복 제작 프로세스 활성화를 위한 드레스의 모델링과 정밀 패턴의 설계 및 검증)

  • Lee, Ji-Young;Hong, Kyung-Hi
    • Science of Emotion and Sensibility
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    • v.14 no.1
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    • pp.39-48
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    • 2011
  • There still is a limitation in the usage of 3D clothes model in the production line due to the lack of compatibility between 3D modeling software, and its accurate 2D pattern making software, especially for free formed dress with tight fitted zone and draped part. In this study, obstacles in the 3D direct dress design process was overcome by solving the compatibility among each step of 3D virtual design process as well as adopting 3D-2D direct pattern development program called 2C-AN. Efficacy of making 2D pattern from 3D dress design using 2C-AN program developed by the authors was examined during the course of actual dress making process. Accurate ease over the fitted dress part was examined by 3D scanning technology, and the actual appearance of the draped part was compared with the simulation image of dress model. It was confirmed that the entire 3D design process and direct 2D pattern development proposed in this study was accurate enough to use in the 3D design process.

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A Study on the Use of Contrast Agent and the Improvement of Body Part Classification Performance through Deep Learning-Based CT Scan Reconstruction (딥러닝 기반 CT 스캔 재구성을 통한 조영제 사용 및 신체 부위 분류 성능 향상 연구)

  • Seongwon Na;Yousun Ko;Kyung Won Kim
    • Journal of Broadcast Engineering
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    • v.28 no.3
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    • pp.293-301
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    • 2023
  • Unstandardized medical data collection and management are still being conducted manually, and studies are being conducted to classify CT data using deep learning to solve this problem. However, most studies are developing models based only on the axial plane, which is a basic CT slice. Because CT images depict only human structures unlike general images, reconstructing CT scans alone can provide richer physical features. This study seeks to find ways to achieve higher performance through various methods of converting CT scan to 2D as well as axial planes. The training used 1042 CT scans from five body parts and collected 179 test sets and 448 with external datasets for model evaluation. To develop a deep learning model, we used InceptionResNetV2 pre-trained with ImageNet as a backbone and re-trained the entire layer of the model. As a result of the experiment, the reconstruction data model achieved 99.33% in body part classification, 1.12% higher than the axial model, and the axial model was higher only in brain and neck in contrast classification. In conclusion, it was possible to achieve more accurate performance when learning with data that shows better anatomical features than when trained with axial slice alone.

Findings of an Intravenous Catheter Fragment in the Vein Using the 3D Image Reformations of MDCT (정맥내의 IV 카테터 조각의 3D MDCT 재구성 영상)

  • Kweon, Dae-Cheol;Yoo, Beong-Gyu;Yang, Sung-Hwan;Kim, Jeong-Goo
    • Progress in Medical Physics
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    • v.17 no.3
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    • pp.167-172
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    • 2006
  • Catheter fragment and embolism are both potentially serious complications associated with the use of an intravenous (IV) catheter for contrast media bolus injection, and may be followed by serious or lethal sequelae. Though catheter fragment is a rare complication of IV catheter insertion, especially in peripheral veins, CT can be used to detect residual fragment. This study demonstrates the utility of MDCT to localize a small, subtle peripheral venous catheter, which can be easily reformatted of MDCT reformations. Various 3D techniques such as MPR and MIP, volume rendering, and shaded-surface displays are currently available for reconstructing MDCT data. Advances in MDCT technology contribute substantially to the detection and accurate localization of smaller IV catheter fragment.

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Marginal and internal discrepancy of 3-unit fixed dental prostheses fabricated by subtractive and additive manufacturing (절삭 및 적층 가공법으로 제작된 3본 고정성 국소의치의 변연 및 내면 적합도에 관한 연구)

  • Choi, Jae-Won
    • The Journal of Korean Academy of Prosthodontics
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    • v.58 no.1
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    • pp.7-13
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    • 2020
  • Purpose: This study was to evaluate marginal and internal discrepancy of 3-unit fixed dental prostheses (FDP) fabricated by subtractive manufacturing and additive manufacturing. Materials and methods: 3-unit bridge abutments without the maxillary left second premolar were prepared (reference model) and the reference model scan data was obtained using an intraoral scanner. 3-unit fixed dental prostheses were fabricated in the following three ways: Milled 3-unit FDP (MIL), digital light processing (DLP) 3D printed 3-unit FDP (D3P), stereolithography apparatus (SLA) 3D printed 3-unit FDP (S3P). To evaluate the marginal/internal discrepancy and precision of the prosthesis, scan data were superimposed by the triple-scan protocol and the combinations calculator, respectively. Quantitative and qualitative analysis was performed using root mean square (RMS) value and color difference map in 3D analysis program (Geomagic control X). Statistical analysis was performed using the Kruskal-Wallis test (α=.05), MannWhitney U test and Bonferroni correction (α=.05/3=.017). Results: The marginal discrepancy of S3P group was superior to MIL and D3P groups, and MIL and D3P groups were similar. The D3P and S3P groups showed better internal discrepancy than the MIL group, and there was no significant difference between the D3P and S3P groups. The precision was excellent in the order of MIL, S3P, and D3P groups. Conclusion: Within the limitation of this study, the 3-unit fixed dental prostheses fabricated by additive manufacturing showed better marginal and internal discrepancy than the those of fabricated by subtractive manufacturing, but the precision was poor.