• Maxillofacial Plastic and Reconstructive Surgery
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• 제31권2호
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• pp.149-157
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• 2009

Purpose: This study was to evaluate the validity of superimposition range at facial images constructed with 3-dimensional (3D) surface laser scanning system. Materials and methods: For the present study, thirty adults, who had no severe skeletal discrepancy, were selected and scanned twice by a 3D laser scanner (VIVID 910, Minolta, Tokyo, Japan) with 12 markers placed on the face. Then, two 3D facial images (T1-baseline, T2-30 minutes later) were reconstructed respectably and superimposed in several manners with $RapidForm^{TM}2006$ (Inus, Seoul, Korea) software program. The distances between markers at the same place of face were measured in superimposed 3D facial images and measurement were done all the 12 makers respectably. Results: The average linear distances between the markers at the same place in the superimposed image constructed by upper 2/3 of the face was $0.92{\pm}0.23\;mm$, in the superimposed image constructed by upper 1/2 of the face was $0.98{\pm}0.26\;mm$, in the superimposed image constructed by upper 1/3 of the face and nose area was $0.99{\pm}0.24\;mm$, in the superimposed image constructed by upper 1/3 of the face was $1.41{\pm}0.48\;mm$, and in the superimposed image constructed by whole face was $0.83{\pm}0.13\;mm$. There were no statistically significant differences in the liner distances of the makers placed on the area included in superimposition range used for partial registration methods but there were significant differences in the linear distances of the markers placed on the areas not included in superimposition range between whole registration method and partial registration methods used in this study. Conclusion: The results of the present study suggest that the validity of superimposition is decreased as superimposition range is reduced in the superimposition of 3D images constructed with 3D laser scanner for the same subject.

• 대한조선학회논문집
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• 제59권4호
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• pp.235-242
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• 2022

As ship condition inspection technology has been developed, research on collecting, analyzing, and diagnosing condition information has become active. In ships, related research has been conducted, such as analyzing, detecting, and classifying major hull failures such as cracks and corrosion using 2D and 3D data information. However, for geometric deformation such as indents and bulges, 2D data has limitations in detection, so 3D data is needed to utilize spatial feature information. In this study, we aim to detect hull structural deformation positions. It builds a specimen based on actual hull structure deformation and acquires a point cloud from a model scanned with a 3D scanner. In the obtained point cloud, deformation(outliers) is found with a combination of RANSAC algorithms that find the best matching model in the Octree data structure and dataset.

• 한국산학기술학회논문지
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• 제19권10호
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• pp.346-351
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• 2018

금속 3D 프린팅 기술은 레이저 빔의 초점에 금속분말을 주입하는 방식에 따라 대표적으로 PBF(Powder Bed Fusion)방식과 DED(Direct Energy Deposition)방식으로 나뉜다. DED 방식은 금속 분말 도포와 동시에 레이저를 조사하여 3차원 구조물을 제작하는 금속 3D 프린팅 기술이고, PBF 방식은 일정 높이로 3차원 그래픽을 슬라이싱 한 후 한 층씩 금속 분말을 적층하여 레이저를 이용해 3차원 구조물을 제조하는 방식이다. DED 방식을 사용하면 레이저 클래딩, 금속 용접 등에는 강점을 가지지만 3D 형상을 제작할 경우 밀도가 낮아지는 문제점이 발생한다. DED 방식에서의 구조체 밀도 문제를 해결하기 위해 PBF 방식을 도입하면 상대적으로 밀도가 높은 3차원 구조물을 제작하는데 용이하다. 본 논문에서는 갈바노 스캐너와 광섬유로 전송되는 Nd:YAG 레이저 빔을 이용한 약 $30{\mu}m$ 크기의 스테인리스 강 분말을 이용하는 PBF 방식의 3차원 프린터를 제작하고, 이를 이용하여 얇은 금속 구조물을 제작하였다. 또한 레이저의 조사 횟수, 출력, 초점 크기, 스캐닝 속도에 따른 선폭의 최적조건을 찾았으며, 그 결과 최적 조건은 레이저 조사 횟수 2회, 출력 30 W, 초점 크기 $28.7{\mu}m$, 스캐닝 속도 200 mm/s에서 최소 선폭은 약 $85.3{\mu}m$로 측정되었다.

• 한국정보통신학회논문지
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• 제6권8호
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• pp.1310-1318
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• 2002

본 연구에서는 기존의 방법에 비하여 값비싼 3차원 스캐너나 카메라를 이용하지 않고 정면과 측면 영상을 이용하여 3차원 모델을 생성하는 3차원 얼굴 모델러와 애니메이터를 개발하였다. 이 시스템은 특정한 플랫폼과 소프트웨어에 독립적으로 웹상에서 애니메이션 서버에 접속함으로써 3차원 얼굴 모델을 애니메이션 할 수 있으며 자바 3D API를 이용하여 구현하였다. 얼굴모델러는 입력 영상으로부터 MPEG-4 FDP(Facial Definition Parameter) 특징점을 추출하여 일반 얼굴모델을 특징점에 따라 변형시켜 3차원 얼굴 모델을 생성한다 애니메이터는 FAP(Facial Animation Parameter)에 따라 얼굴모델을 애니메이션하고 렌더링한다. 본 시스템은 웹 상에서 아바타를 제작하는 데 사용될 수 있다.

• 한국BIM학회 논문집
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• 제11권4호
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• pp.1-9
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• 2021

Comparing to general scanning data, the 3D digital map for large construction sites and complex buildings consists of millions of points. The large construction site needs to be scanned multiple times by drone photogrammetry or terrestrial laser scanner (TLS) survey. The scanned point cloud data are required to be registrated with high resolution and high point density. Unlike the registration of 2D data, the matrix of translation and rotation are used for registration of 3D point cloud data. Archiving high accuracy with 3D point cloud data is not easy due to 3D Cartesian coordinate system. Therefore, in this study, iterative closest point (ICP) registration method for improve accuracy of 3D digital map was employed by different overlap ratio on 3D digital maps. This study conducted the accuracy test using different overlap ratios of two digital maps from 10% to 100%. The results of the accuracy test presented the optimal overlap ratios for an ICP registration method on digital maps.

• Imaging Science in Dentistry
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• 제53권2호
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• pp.127-135
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• 2023

Purpose: This study assessed the intensity of artifacts produced by 2 metal posts, 2 cements, and different exposure parameters using 2 cone-beam computed tomography (CBCT) units. Materials and Methods: The sample was composed of 20 single-rooted premolars, divided into 4 groups: Ni-Cr/zinc phosphate, Ni-Cr/resin cement, Ag-Pd/zinc phosphate, and Ag-Pd/resin cement. Samples were scanned before and after post insertion and cementation using a CS9000 3D scanner with 4 exposure parameters (85/90 kV and 6.3/10 mA) and an i-CAT scanner with 120 kV and 5 mA. The presence of artifacts was assessed subjectively by 2 observers and objectively by a trained observer using ImageJ software. The Mann-Whitney, Wilcoxon, weighted kappa, and chi-square tests were used to assess data at a 95% confidence level(α<0.05). Results: In the subjective analyses, AgPd presented more hypodense and hyperdense lines than NiCr (P<0.05), and more hypodense halos were found using i-CAT (P<0.05) than using CS9000 3D. More hypodense halos, hypodense lines, and hyperdense lines were observed at 10 mA than at 6.3 mA (P<0.05). More hypodense halos were observed at 85 kV than at 90 kV (P<0.05). CS9000 3D presented more hypodense and hyperdense lines than i-CAT (P<0.05). In the objective analyses, AgPd presented higher percentages of hyperdense and hypodense artifacts than NiCr (P<0.05). Zinc phosphate cement presented higher hyperdense artifact percentages on CS9000 3D scans(P<0.05). CS9000 3D presented higher artifact percentages than i-CAT(P<0.05). Conclusion: High-atomic-number alloys, higher tube current, and lower tube voltage may increase the artifacts present in CBCT images.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.361-370
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• 2020

Automatic building material recognition has been a popular research interest over the past decade because it is useful for construction management and facility management. Currently, the extensively used methods for automatic material recognition are mainly based on 2D images. A terrestrial laser scanner (TLS) with a built-in camera can generate a set of coloured laser scan data that contains not only the visual features of building materials but also other attributes such as material reflectance and surface roughness. With more characteristics provided, laser scan data have the potential to improve the accuracy of building material recognition. Therefore, this research aims to develop a TLS-based building material recognition method by combining machine learning techniques. The developed method uses material reflectance, HSV colour values, and surface roughness as the features for material recognition. A database containing the laser scan data of common building materials was created and used for model training and validation with machine learning techniques. Different machine learning algorithms were compared, and the best algorithm showed an average recognition accuracy of 96.5%, which demonstrated the feasibility of the developed method.

• 복식
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• 제62권1호
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• pp.76-89
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• 2012

This study was performed to offer the basic data for the design of farm shoes. 265 Korean female farmers aging between the 40s to the 80s volunteered for this study and we measured 40 items on each foot with the 3D foot scanner. First, the differences between farmers' feet and non-farmers' feet were analyzed. Farmers' feet were thicker in the instep areas, but had lower arch height than non-farmers' feet. In addition, farmer's feet were tilted to the inside. Next, eight factors were extracted among the 40 measuring items, and the classification criteria of the foot shape was analyzed. The important factors were: size of foot length and volume of ankle, malleolus height and size, volume of the front part of ankle, medial & lateral ball width, and vertical size of foot. Third, three clusters according to the foot shapes were categorized by cluster analysis of eight factor scores. Foot type 1 was medium in foot length, big in thickness, large in lateral ball width, small in toe 1 angle, and tilted to the inside. Foot type 2 was long and slim, and big in toe 5 angle. Foot type 3 was short in foot length, medium in volume of the front part of ankle, large in medial ball width, and big in toe 1 angle. Despite its shortness, foot type 3 was thick and showed severe deformation in toe 1. Lastly, the frequency distributions of the foot types in each age group were analyzed. Female farmers of the forties showed high frequency in type 1 and other age groups showed high frequency in type 2. The older female farmers showed higher frequency of type 3.

• 대한의용생체공학회:의공학회지
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• 제37권2호
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• pp.68-74
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• 2016

In this study, we investigated the rotational characteristics which were comprised of directionality and linearity of target registration error (TRE) as a study in advance to enhance the accuracy of contour-based registration in neuronavigation. For the experiment, two rigid head phantoms that have different faces with specially designed target frame fixed inside of the phantoms were used. Three-dimensional coordinates of facial surface point cloud and target point of the phantoms were acquired using computed tomography (CT) and 3D scanner. Iterative closest point (ICP) method was used for registration of two different point cloud and the directionality and linearity of TRE in overall head were calculated by using 3D position of targets after registration. As a result, it was represented that TRE had consistent direction in overall head region and was increased in linear fashion as distance from facial surface, but did not show high linearity. These results indicated that it is possible for decrease TRE by controlling orientation of facial surface point cloud acquired from scanner, and the prediction of TRE from surface registration error can decrease the registration accuracy in lesion. In the further studies, we have to develop the contour-based registration method for improvement of accuracy by considering rotational characteristics of TRE.

• 지적과 국토정보
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• 제50권2호
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• pp.69-79
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• 2020

최근 IoT 기술을 기반으로 도시의 여러 문제점을 정보화하여 해결하는 스마트 시티가 각광받고 있다. 특히, 시공 및 유지보수의 원활한 관리를 위한 BIM 적용 사례가 증가하며 융합기술을 통해 공간정보를 3D 데이터화하여 안전진단에 활용하고 있다. 본 연구의 목적은 UAV 및 LiDAR 장비 중 지상 레이저 스캐너와 핸드헬드 LiDAR SLAM을 활용하여 복층 건물의 포인트 클라우드를 생성 및 조합, 각 기술의 폐색영역 및 단점을 보완하고 형상재현 및 정확도를 관측하여 실내외 역설계의 효용성을 검토하는 것이다. 검토결과, 3가지 기술을 사용하여 복층 건물의 실내외 포인트 클라우드를 생성·조합하여 데이터의 좌표 정확도가 향상됨을 확인하였다. 특히, 각 기술의 단점을 보완, 건물의 형상재현 완성도를 높이고 폐색영역 및 경계면 구분이 명확하게 나타나며 역설계의 효용성을 입증하였다.