• Title/Summary/Keyword: 3D Scan Data

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Upper Back Somatotype Analysis for Development of Hanbok Jeogori Pattern of Female in Late 20s (20대 후반 성인 여성의 한복 저고리 패턴 개발을 위한 상반신 뒷면의 체형 분석)

  • Eom, Ran-I;Lee, Yejin
    • Korean Journal of Human Ecology
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    • v.23 no.5
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    • pp.891-904
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    • 2014
  • The objective of this study is to classify somatotypes of back-surface shape of women in their late 20s by using 3D body scan data(Size Korea 2010) in order to improve fitness of Hanbok Jeogori. The results were as follows: 1. According to the in-depth survey of the experienced expert's interview, most problems related to the fit were caused by the back area of Jeogori. 2. The result of factor analysis indicated that 6 factors were extracted and those factors comprised 82.85% of total variance. 3. According to the cluster analysis, back somatotypes of women in their late 20s were categorized by two types : straight type(54.1%) and bending type(46.9%). The results could be used as the Hanbok Jeogori to improve the fitness of back-surface shape.

Analysis of Diffusion Bonded Parts Using Immersed UT Method (수침초음파를 이용한 확산접합부평가)

  • Park, J.C.;Oh, C.S.;Kim, Y.S.;Kim, J.G.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.12 no.3
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    • pp.33-39
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    • 1992
  • This paper presents a summary of the immersion ultrasonic test to analyze the quality of diffusion bonding parts. The most important property of diffusion bonding parts is bonding strength, and that can be obtained by shear test. By comparing among data obtained by ultrasonic test(C-Scan) and those by shear test (bonding strength), these data are shown to be in good relation. Therefore ultrasonic C-Scan test result can be used successfully in quantitative quality control for diffusion bonded parts.

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A Study on Development of Men's Formal Jacket Pattern by 3D Human Body Scan Data -A Focus on Men's in their Late 30s- (3D 인체데이터를 활용한 남성 정장재킷 패턴개발 연구 -30대 후반 남성을 중심으로-)

  • Shin, Kyung-hee;Suh, Chuyeon
    • Journal of the Korean Society of Clothing and Textiles
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    • v.43 no.3
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    • pp.440-458
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    • 2019
  • Based on a 3D body data and pattern comparison analysis, this study developed a formal jacket pattern for men in their late 30s. In order to select the representative type of men in their late 30s, factor analysis and cluster analysis were conducted on data form 319 men, 35 to 39 years old using the anthropometric data from The 7th Size Korea (2015) as the representative body type. The surface of the body surface was developed using a 3D human shape of a male in his 30s in The 6th Size Korea (2010). Then the shape was changed to a flat pattern that confirmed the necessary elements for setting the shape and dimension. Cluster analysis revealed type B as the representative type because it showed the best shape characteristics for men in the late 30s. The drafting method of the final research pattern is as follows. Jacket length: stature/2.5cm, back length: stature/5+8.5cm (constant)], armhole depth: [stature/ 7-1.5cm (constant)], back width: [C/9+9.5cm (constant)]+1cm (ease), front width: [C/9+8.5cm (constant)]+1cm (ease), armscye depth: C/8, front waist darts: 1cm, front closure amount: 2cm.

A study on procedure for classifying male muscular lower body somatotype from general anthropometric database

  • Lee, Minji;Chun, Jongsuk
    • The Research Journal of the Costume Culture
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    • v.21 no.4
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    • pp.585-595
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    • 2013
  • The most researches developing pattern of compression style sportswear were targeted at the live model that has muscular body build. The purpose of this study was developing a method for classifying men's lower body types in terms of muscular body build. The 3D human body scan data and body measurements of 30s of Size Korea were analyzed. The subjects (n=203) were men between the ages of 30 and 39 years. Men's muscular body build was classified with two key dimensions, thigh girth and calf girth. The subjects were divided into four groups. From each group, average subjects (n=42) whose height and weight were close to the mean value ($mean{\pm}1/2$ S.D.) were selected. 42 subjects were divided up as four groups. Group I (n=7) was thigh and calf developed body type. Group II (n=9) was thigh developed body type. Group III (n=11) was calf developed body type. Group IV (n=15) was thigh and calf undeveloped body type. Four groups had distinct different at widths (n=4), depths (n=4), and girths (n=9) dimensions. The results showed that the muscular men in their 30s could be defined by thigh and calf girths. The thigh developed muscular men had thigh girth over 60cm and the calf developed muscular men had calf girth over 38cm. From each group one representative was selected by 3D body scan figure.

Real-time Tooth Region Detection in Intraoral Scanner Images with Deep Learning (딥러닝을 이용한 구강 스캐너 이미지 내 치아 영역 실시간 검출)

  • Na-Yun, Park;Ji-Hoon Kim;Tae-Min Kim;Kyeong-Jin Song;Yu-Jin Byun;Min-Ju Kang․;Kyungkoo Jun;Jae-Gon Kim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.3
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    • pp.1-6
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    • 2023
  • In the realm of dental prosthesis fabrication, obtaining accurate impressions has historically been a challenging and inefficient process, often hindered by hygiene concerns and patient discomfort. Addressing these limitations, Company D recently introduced a cutting-edge solution by harnessing the potential of intraoral scan images to create 3D dental models. However, the complexity of these scan images, encompassing not only teeth and gums but also the palate, tongue, and other structures, posed a new set of challenges. In response, we propose a sophisticated real-time image segmentation algorithm that selectively extracts pertinent data, specifically focusing on teeth and gums, from oral scan images obtained through Company D's oral scanner for 3D model generation. A key challenge we tackled was the detection of the intricate molar regions, common in dental imaging, which we effectively addressed through intelligent data augmentation for enhanced training. By placing significant emphasis on both accuracy and speed, critical factors for real-time intraoral scanning, our proposed algorithm demonstrated exceptional performance, boasting an impressive accuracy rate of 0.91 and an unrivaled FPS of 92.4. Compared to existing algorithms, our solution exhibited superior outcomes when integrated into Company D's oral scanner. This algorithm is scheduled for deployment and commercialization within Company D's intraoral scanner.

Comparison of accuracy between digital and conventional implant impressions: two and three dimensional evaluations

  • Bi, Chuang;Wang, Xingyu;Tian, Fangfang;Qu, Zhe;Zhao, Jiaming
    • The Journal of Advanced Prosthodontics
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    • v.14 no.4
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    • pp.236-249
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    • 2022
  • PURPOSE. The present study compared the accuracy between digital and conventional implant impressions. MATERIALS AND METHODS. The experimental models were divided into six groups depending on the implant location and the scanning span. Digital impressions were captured using the intraoral optical scanner TRIOS (3Shape, Copenhagen, Denmark). Conventional impressions were taken with the monophase impression material based on addition-cured silicones, Honigum-Mono (DMG, Hamburg, Germany). A high-precision laboratory scanner D900 (3Shape, Copenhagen, Denmark) was used to obtain digital data of resin models and stone casts. Surface tessellation language (STL) datasets from scanner were imported into the analysis software Geomagic Qualify 14 (3D Systems, Rock Hill, SC, USA), and scan body deviations were determined through two-dimensional and three-dimensional analyses. Each scan body was measured five times. The Sidak t test was used to analyze the experimental data. RESULTS. Implant position and scanning distance affected the impression accuracy. For a unilateral arch implant and the mandible models with two implants, no significant difference was observed in the accuracy between the digital and conventional implant impressions on scan bodies; however, the corresponding differences for trans-arch implants and mandible with six implants were extremely significant (P<.001). CONCLUSION. For short-span scanning, the accuracy of digital and conventional implant impressions did not differ significantly. For long-span scanning, the precision of digital impressions was significantly inferior to that of the traditional impressions.

Comparison of the accuracy of domestic dental intra-oral scanner(e-scanner) and model scanner (국산 치과용 구강스캐너(e-scanner)와 모델스캐너의 정확도 비교)

  • Kim, Busob;Kim, Jungho
    • Journal of Technologic Dentistry
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    • v.41 no.2
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    • pp.53-61
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    • 2019
  • Purpose: The purpose of this study is to evaluate the discrepancy of scan process in dental intra oral scanner by comparing model scanner and anticipate possibility to introduce intra oral scan technique. Methods: 3D superimposition test was conducted to compare the scan discrepancy. The scanners used in this study are the e-oral scanner, the D750 model scanner, and the high precision CMM(3D Coordinate Measuring Machine). The standard of accuracy verification is ISO 5725-1; trueness and precision. Master model was manufactured by dental stone and scanned 5 times by intra oral, model scanner. Reference data was scanned 5 times by high accuracy CMM to evaluate the trueness. Results: Trueness of D750 scanner were $7.4{\mu}m$ $5.1{\mu}m$ $6.8{\mu}m$ at an abutment, an occluasal, a specific area. and trueness of e-scanner were $20.2{\mu}m$ $27.4{\mu}m$ $37.8{\mu}m$ at an abutment, an occluasal, a specific area. Precision of D750 scanner was $7.04{\mu}m$, e-scanner was $15.95{\mu}m$. Conclusion: When conducting in vitro test, The mean difference of trueness between e-scanner and D750 were $12.8{\mu}m$ at an abutment area, $22.3{\mu}m$ at an occlusal area, $31.0{\mu}m$ at a specific area and $8.91{\mu}m$ in precision. The scan discrepancies are within the range of clinical acceptance.

Analysis of Body Surface Change from 3D Scan Data of Men's Upper Bodies in Twenties - Focus on Application of Motorcycle Jacket Pattern - (3차원 인체데이터에 의한 20대 성인남성 상반신 체표변화 분석 - 모터사이클복 패턴설계시 적용을 중심으로 -)

  • Do, Wol-Hee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.32 no.4
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    • pp.530-541
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    • 2008
  • The early stage of 3D anthropometry data has been used to obtain qualitative rather than quantitative information. However recent 3D body scanners as a common research tool for anthropormatric measurments have made it possible to obtain body surface data of sufficient resolution and accuracy. The purpose of this study is finally to develop motorcycle jacket for enhanced comfort and fit, to test the accuracy and reliability of 3D measurments of motorcycle riding posture, and to analyze the change in 20's adult male's body surface measurements between the standard anthropometric position and motorcycle riding posture. The results of this study were as follows: There were no significant differences between the study and Size Korea measurments in total traditional measuring items and most of measuring items, such as length, circumference antropometric items and interscye items though not waist back length and upper arm circumference. A comparison of 3D body surface measurments in the two different measuring postures, the bodysurface measurments such as waist front length, biacromion length, front interscye, arm length, underarm length in the motorcycle riding posture decreased than that in basic posture, whereas waist back length, back interscye, C.T.W length increased. The body surface measurments such as chest, bust, upper circumference in the motorcycle riding posture decreased than that in basic posture, whereas neck, waist, hip, elbow circumference increased.

Organizing Lidar Data Based on Octree Structure

  • Wang, Miao;Tseng, Yi-Hsing
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.150-152
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    • 2003
  • Laser scanned lidar data record 3D surface information in detail. Exploring valuable spatial information from lidar data is a prerequisite task for its applications, such as DEM generation and 3D building model reconstruction. However, the inherent spatial information is implicit in the abundant, densely and randomly distributed point cloud. This paper proposes a novel method to organize point cloud data, so that further analysis or feature extraction can proceed based on a well organized data model. The principle of the proposed algorithm is to segment point cloud into 3D planes. A split and merge segmentation based on the octree structure is developed for the implementation. Some practical airborne and ground lidar data are tested for demonstration and discussion. We expect this data organization could provide a stepping stone for extracting spatial information from lidar data.

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