• 한국의류학회지
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• 제29권9_10호
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• pp.1359-1368
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• 2005

When we develop the tight-fit 2D pattern from the 3D scan data, segmentation of the 3D scan data into several parts is necessary to make a curved surface into a flat plane. In this study, Garland's method of triangle simplification was adopted to reduce the number of data point without distorting the original shape. The Runge-Kutta method was applied to make triangular patch from the 3D surface in a 2D plane. We also explored the detailed arrangement method of small 2D patches to make a tight-fit pattern for a male body. As results, minimum triangle numbers in the simplification process and efficient arrangement methods of many pieces were suggested for the optimal 2D pattern development. Among four arrangement methods, a block method is faster and easier when dealing with the triangle patches of male's upper body. Anchoring neighboring vertices of blocks to make 2D pattern was observed to be a reasonable arrangement method to get even distribution of stress in a 2D plane.

• 한국생활과학회:학술대회논문집
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• 한국생활과학회 2010년도 하계학술대회
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• pp.109-110
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• 2010

• 한국방사선학회논문지
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• 제14권5호
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• pp.651-660
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• 2020

본 연구에서는 보급형 3D 프린터를 이용하여 인체 Femur와 유사한 HU 값을 가진 팬텀을 제작하여 기존 돼지 뼈를 대체할 수 있는지 분석하고자 하였다. 인체 Femur의 HU 값을 알아보기 위해 연령별 총 372명의 데이터를 분석하였다. 보급형 3D 프린터를 이용하여 PLA-Cu 20%를 이용하여 인체 뼈 모형 팬텀을 제작하여 CT 검사하였다. 돼지 뼈는 생후 6개월 된 돼지로 도축된 지 2일이 지난 뼈를 이용하였다. 검사결과 내부채움 80%로 제작한 3D 프린팅 팬텀이 인체의 모든 데이터와 유사한 값이 나타났고(p<0.05) 돼지뼈와는 차이가 있었다(p>0.05). 또한 연령대별 Femur의 HU 값의 경우 연령대가 증가할수록 HU의 값은 줄어드는 것으로 확인 되었다(p<0.05). 3D 프린팅과 HU 값은 적층 높이에 대해서는 약한 음의 상관성을 확인 하였지만 내부 채움에서는 182.13±1.290으로 강한 양의 상관성(R²=0.996)을 확인하였다(p<0.05). 결론적으로 3D 프린팅을 이용한 인체 모형 팬텀이 기존 돼지뼈 팬텀에 비해 인체와 유사한 정도의 HU 값을 나타낼 수 있음을 확인할 수 있었으며 이에 본 연구가 3D 프린터를 이용한 인체 모형 팬텀의 제작에 기초자료를 제공할 수 있을 것이라 사료된다.

• 방송공학회논문지
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• 제27권2호
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• pp.174-184
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• 2022

3차원 휴먼 자세 추정 모델은 다시점 모델과 단시점 모델로 분류될 수 있다. 일반적으로 다시점 모델은 단시점 모델에 비하여 뛰어난 자세 추정 성능을 보인다. 단시점 모델의 경우 3차원 자세 추정 성능의 향상은 많은 양의 학습 데이터를 필요로 한다. 하지만 3차원 자세에 대한 참값을 획득하는 것은 쉬운 일이 아니다. 이러한 문제를 다루기 위해, 우리는 다시점 모델로부터 다시점 휴먼 자세 데이터에 대한 의사 참값을 생성하고, 이를 단시점 모델의 학습에 활용하는 방법을 제안한다. 또한, 우리는 각각의 다시점 영상으로부터 추정된 자세의 일관성을 고려하는 다시점 일관성 손실함수를 제안하여, 이것이 단시점 모델의 효과적인 학습에 도움을 준다는 것을 보인다. Human3.6M과 MPI-INF-3DHP 데이터셋을 사용한 실험은 제안하는 방법이 3차원 휴먼 자세 추정을 위한 단시점 모델의 학습에 효과적임을 보여준다.

• 한국의류학회지
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• 제43권3호
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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.

• 대한인간공학회지
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• 제25권2호
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• pp.85-94
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• 2006

The purpose of this study is to extract typical body shapes of Korean adults based on the three-dimensional Korean anthropometric data measured through 5th national anthropometric survey and to examine the suitability of the 3-D human shape data for the interior packaging. 36 three-dimensional anthropometric variables related to the design of vehicle interior were considered for the appraisal of typical body shapes. Four major factors were extracted by the factor analysis and factor scores were calculated for all subjects. Typical or standard drivers of Korean adults were selected by the minimum deviation criteria for the four factor scores with respect to 5th, 50th, and 95th percentiles, respectively. Typical drivers of Korean adults were visualized by the CATIA-HUMAN program due to the absence of proper application software for three-dimensionally scanned human body data. There are considerable differences between the anthropometric data of Korean adults and those provided by CATIA-HUMAN program, which shows that the modeling data provided by CATIA-HUMAN should not be directly applied to the ergonomic evaluation for the vehicle design. This suggests the necessity for the development of suitable software for scanned human shape data. It is also expected that the anthropometric data of typical drivers extracted from this study help design package layouts and improve the suitability of ergonomic evaluation for Korean customers.

• 패션비즈니스
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• 제11권3호
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• pp.35-45
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• 2007

This study examined how to create 2D basic pattern of individuals by means of 3-D body figure, which is to develop a flat of individual basic pattern directly from the 3-D body scan data of each subject using that of the upper body of a male adult. In terms of methodology, this study adopted 3D body scan data on system and body to make examinations in the following steps: 1. Standard point and line were set on human body, along with 3-D definition points(feature points). 2. PB was created by modifying horizontal and longitudinal section of scan data. 3. Ways to set reserve were established in the findings of PB planar development. Respective developed flat patterns were compared with pattern findings in previous studies by means of sensory evaluation. As a result, it was found that both system and body model are basic pattern and belong to appropriate pattern as semi-tight-fit basic pattern with overall appropriate tolerances. Thus, this study came to a conclusion that it is feasible and valid to develop theories for flat development as considered herein.

• 한국생활과학회지
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• 제15권3호
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• pp.481-490
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• 2006

Adjusting pressure level in the construction of athletes' tight-fitting garments by reducing the elastic knit pattern is a challenging subject, which influences the performance of the wearer directly. Therefore, in this study, relationship between the reduction rates of the basic pattern obtained from 3D human scan data and resultant clothing pressure was explored to improve the fit and pressure exerted by clothing. 3D scan data were obtained using Cyberware and they were transformed into a flat pattern using software based on Runge-Kutta method. Reduction rate was examined by subjective wear test as well as objective pressure measurement. As a result, difference in the length between the original 3D body scan data and the 2D tight-fitting pattern was 0.02$\sim$0.50cm (0.05$\sim$1.06%), which was within the range of tolerable limits in making clothes. Among the five garments, the 3T-pattern was superior in terms of subjective sensation and fit. The pressure of the 3T pattern was 2$\sim$4 gf/cm2 at five locations on the body, which is almost the same or a bit higher than that of Z-pattern. In the case of tight-fitting overall garment, the reduction rate of the pattern in the wale direction is more critical to the subjective sensation than the course direction. It is recommended that the reduction grading rules of course direction should be larger than that of Ziegert for a better fit of tight-fitting garments. In the case of wale direction, however, reduction grading rule should be kept the same as suggested earlier by Ziegert (1988).

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(4)
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• pp.129-132
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• 2002

In this paper, we propose a 3-D animation system to track and analyze motion of the human object. The proposed system consists of two separate layers: motion analysis layer and 3-D model registration layer. Following the MPEG-4 SNHC standard, we generate object motion using body definition and animation parameters. In the implemented system, we acquire human motion data from a single camera and extract body definition parameters from arbitrary VRML human models.

• 대한의용생체공학회:의공학회지
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• 제19권2호
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• pp.199-210
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• 1998

본 논문에서는 전산화된 인체 해부도의 필수 기능인 3차원 볼륨 가시화 기법을 제시한다. 오브젝트순서에 기반한 광선 추적과 런-길이 인코딩의 장점을 이용한 이진 볼륨 렌더링 기법은 경계 추출된 칼라 슬라이스로 구성된 볼륨 데이터를 이용하여, 특정 하드웨어의 도움없이 일반 PC에서 대화식 수준의 속도로 3차원 가시화를 수행한다. 이 방법은 이진 볼륨 렌더링을 위해 필요한 이진 깊이 화상의 구성을 간소화하고 새루운 법선 벡터 계산 방법을 적용하여 렌더링 시간의 향상을 꾀하였다. 이와 함께 화질의 손실 없이 관련 데이터의 양을 줄이는 3D경계 인코딩 방법도 제시한다. 본 논문에서 제시한 렌더링 방법의 대화식 수준의 속도와 인코딩 방법의 정보 저장면에서의 효율성은 PC에서 운용될 수 있는 의학 해부도 응용 프로그램의 개발을 보다 가속화할 것이다.