• Title/Summary/Keyword: 3D automated measurement

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Analysis of Difference between Direct Measurement and 3-D Automatic Measurement According to Classification of Side Figure of Elderly Women (고령 여성의 측면체형 분류에 따른 직접측정치와 3차원 자동측정치간의 차이 분석)

  • Chung, Juwon;Nam, Yun-Ja;Park, Jinhee
    • Fashion & Textile Research Journal
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    • v.21 no.5
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    • pp.627-639
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    • 2019
  • This study analyzes differences between the results of 3D direct measurements and automated measurements for Korean elderly females according to age groups, side somatotype, and BMI groups. This study compares the measurement differences of the direct and the 3D automated measurements for women between the ages of 70 to 85, according to age group, BMI group, and side somatotype. A comparison of the results of the direct measurement and the 3D automated measurements for elderly women show that a meaningful discrepancy exists for 29 items out of 33 items. Furthermore, the results of comparing the average error tolerance recommended by ISO20685 shows that 30 items out of 33 items exceeded ISO recommendations. The results of the automated measurement program shows a higher degree of accuracy for straight postures; however, this unsuitable for postures of elderly women with a changed somatotype. The analysis results of the measurement difference indicate the suitability of the automatic measurement programs is found to be high for stood postures, while problems seem to exist on several items along with an automated program is not appropriately used due to posture and part of body changes for elderly women. Therefore, it is recommended to develop an algorithm, that reflects the body changes of elderly women first and then upgrade the automated program equipped with a measurement size method. It is hoped that the study results can be utilized as base data for improving the automated measurement program.

Repeatability Test for the Asymmetry Measurement of Human Appearance using General-purpose Depth Cameras (범용 깊이 카메라를 이용한 인체 외형 비대칭 측정의 반복성 평가)

  • Jang, Jun-Su
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.30 no.3
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    • pp.184-189
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    • 2016
  • Human appearance analysis is an important part of both eastern and western medicine fields, such as Sasang constitutional medicine, rehabilitation medicine, dental medicine, and etc. By the rapid growing of depth camera technology, 3D measuring becomes popular in many applications including medical area. In this study, the possibility of using depth cameras in asymmetry analysis of human appearance is examined. We introduce the development of 3D measurement system using 2 Microsoft Kinect depth cameras and fully automated asymmetry analysis algorithms based on computer vision technology. We compare the proposed automated method to the manual method, which is usually used in asymmetry analysis. As a measure of repeatability, standard deviations of asymmetry indices are examined by 10 times repeated experiments. Experimental results show that the standard deviation of the automated method (1.00mm for face, 1.22mm for body) is better than that of the manual method (2.06mm for face, 3.44mm for body) for the same 3D measurement. We conclude that the automated method using depth cameras can be successfully applicable to practical asymmetry analysis and contribute to reliable human appearance analysis.

A Study on the Measurement of Surface Strain Using the Image Processing Technique (화상처리법을 이용한 곡면변형률 측정에 관한 연구)

  • 김영수;김형종
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 1997.03a
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    • pp.213-216
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    • 1997
  • The measurement of 3D surface strain using the image processing method is another approach for strain measurement. The advantage of this method is that strains at several points included in a captured image can be obtained automatically from only one process. In this study, the whole process of automated surface strain measurement is presented. The strain distribution on a LDH specimen is illustrated as a result of the trial to develope an automated strain measurement system.

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Automated measurement and analysis of sidewall roughness using three-dimensional atomic force microscopy

  • Su‑Been Yoo;Seong‑Hun Yun;Ah‑Jin Jo;Sang‑Joon Cho;Haneol Cho;Jun‑Ho Lee;Byoung‑Woon Ahn
    • Applied Microscopy
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    • v.52
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    • pp.1.1-1.8
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    • 2022
  • As semiconductor device architecture develops, from planar field-effect transistors (FET) to FinFET and gate-all-around (GAA), there is an increased need to measure 3D structure sidewalls precisely. Here, we present a 3-Dimensional Atomic Force Microscope (3D-AFM), a powerful 3D metrology tool to measure the sidewall roughness (SWR) of vertical and undercut structures. First, we measured three different dies repeatedly to calculate reproducibility in die level. Reproducible results were derived with a relative standard deviation under 2%. Second, we measured 13 different dies, including the center and edge of the wafer, to analyze SWR distribution in wafer level and reliable results were measured. All analysis was performed using a novel algorithm, including auto fattening, sidewall detection, and SWR calculation. In addition, SWR automatic analysis software was implemented to reduce analysis time and to provide standard analysis. The results suggest that our 3D-AFM, based on the tilted Z scanner, will enable an advanced methodology for automated 3D measurement and analysis.

Automated Print Quality Assessment Method for 3D Printing AI Data Construction

  • Yoo, Hyun-Ju;Moon, Nammee
    • Journal of Information Processing Systems
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    • v.18 no.2
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    • pp.223-234
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    • 2022
  • The evaluation of the print quality of 3D printing has traditionally relied on manual work using dimensional measurements. However, the dimensional measurement method has an error value that depends on the person who measures it. Therefore, we propose the design of a new print quality measurement method that can be automatically measured using the field-of-view (FOV) model and the intersection over union (IoU) technique. First, the height information of the modeling is acquired from a camera; the output is measured by a sensor; and the images of the top and isometric views are acquired from the FOV model. The height information calculates the height ratio by calculating the percentage of modeling and output, and compares the 2D contour of the object on the image using the FOV model. The contour of the object is obtained from the image for 2D contour comparison and the IoU is calculated by comparing the areas of the contour regions. The accuracy of the automated measurement technique for determining, which derives the print quality value was calculated by averaging the IoU value corrected by the measurement error and the height ratio value.

Adaptive Image Binarization for Automated Surface Strain Measurment (판재 곡면변형률 자동측정을 위한 적응 2치영상화)

  • Shin, Gun Il;Kwon, Ho Yeol;Kim, Hyong-Jong
    • Journal of Industrial Technology
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    • v.17
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    • pp.21-29
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    • 1997
  • In this paper, an adaptive image binarization scheme is proposed for automated surface strain measurement. At first, we reviewed an image based 3D deformation factor measurement briefly. Then, a new adaptive thresholding method is proposed for the extraction of lattice pattern from a deformed plate image using its local mean and variance. Some experimental results are presented to verify the effectiveness of our approaches.

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Development of a 3-D Position Measurement Algorithm using 2-D Image Information (2차원 영상 정보를 이용한 3차원 위치 측정 알고리즘 개발)

  • Lee, J.H.;Jung, S.H.;Kim, D.H.
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.12 no.5
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    • pp.141-148
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    • 2013
  • There are several problems in the conventional 2-D image processing and 3-D measurement systems. In the case of the 2-D image processing system, it is not possible to detect elevation data. In a 3-D measurement system, it requires a skillful operator and a lot of time for measuring data. Also, there exist data errors depending on operators. The limitation of detecting elevation data in the 2-D image processing system can be solved by laser diodes. In this study an algorithm that measures the accurate data in a subject face to be detected by combining laser diodes and a commercial CCD camera is developed. In the development process, a planar equation is developed using laser diodes and the equation is used to obtain a normal vector. Based on the results, an algorithm that transforms commercial CCD camera coordinates to 3-D coordinates is proposed. The completed measurement method will be applied to replace a manual measurement system for vehicle bodies and parts by an automated system.

A Study on the Accurate 3D Terrain Model Using GPS and EDM (GPS와 EDM을 이용한 정밀 3차원 지형구축)

  • 곽영주;장용구;김상석;강인준
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.11a
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    • pp.99-104
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    • 2004
  • Recently, the old surveying method for acquiring surveying-geo information results had a low economic efficiency and a low dependence of precision because it took much times and high costs. So, we acquired law data by execution of control surveying through Static positioning of DGPS(Ashtech). It is computed plainmetric(X, Y) positioning through postprocessing by Prism S/W. And we computed height(Z) through control surveying by ring-closed leveling surveying. After control surveying execution, we built DEM(Digital Elevation Model) using LDT S/W and accuracy 3D detail surveying by EDM(Electronic Distance Measurement) surveying. The purpose of this study was to yield automated digital mapping and the automated amount of materials using ahead data. The conclusions were as follows; First, we built the automated amount of materials system and got high efficiency about personnel, times and precision. Second, when, people precisely positioned on railroads of a high-speed railroad and used GPS surveying, the result was permitted. Finally, it was possible to draw automated profile and cross-section using the 3D terrain model build with the DEM technique.

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Inverse kinematics analysis of 6R serial manipulator for the automation of 3D scanner measurement (3차원 스캐너의 측정 자동화를 위한 수직 다관절로봇의 역기구학 해석)

  • 육경환;한성준;양현석;장민호
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2004.10a
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    • pp.929-934
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    • 2004
  • As 3D scanner develops, it can be used in measurement. To accomplish complete 3D measurement, the scanner has to view different sides of the target. It can be done by moving the scanner and fix it at every measuring point. By human, it would take so much time. However, by using robot, measuring time can be reduced and the procedure can be automated. It is suitable for 6R serial manipulator to do this kind of work in which the scanner should go any position in arbitrary orientation. We did inverse kinematics analysis by analytical and graphical methods. Then, we compared two methods.

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Development of 3D Terrain Processing Platform Using Terrestrial Laser Scanning Data (지상레이저스캐닝 데이터를 활용한 3차원 지반지형 분석 플랫폼 개발)

  • Kim, Seok;Kim, Tae-Yeong
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2016.05a
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    • pp.227-228
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    • 2016
  • Terrestrial laser scanning (TLS) technology is being applied to various fields such as the soil volume calculation and the displacement measurement of terrain, tunnels and dams. This study develops a 3D terrain processing platform for automated earth work using a terrestrial laser scanning data as the software prototype. The developed software provides cells with geo-technical information for planning work to an integrated system.

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