• 제목/요약/키워드: 3D scanned data

검색결과 188건 처리시간 0.026초

인체 전신 레이저 스캔 데이터를 대상으로 한 인체 애니메이션 연구 (A Study for Animation Using 3D Laser Scanned Body Data)

  • 윤근호;조창석
    • 한국멀티미디어학회논문지
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    • 제15권10호
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    • pp.1257-1263
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    • 2012
  • 본 연구는 3D레이저 스캔 방식으로 계측된 인체 데이터를 대상으로 하여 인체의 여러 동작들에 대한 애니메이션 모듈 구현을 목표로 하였다. 이를 위하여 애니메이션 회전을 위한 기준점인 인체의 골격 기준점을 추출하고 추출된 기준점을 이용하여 골격을 잡고 각 골격에 따른 계층트리를 구성하였다. 구성된 계층트리의 골격에 해당되는 오브젝트 정점들을 골격과 연결하고 주어진 애니메이션 3차원 정점들에 행동 패턴을 적용하여 스캔데이터에 애니메이션을 구현하였다.

동작시 3D 정보를 이용한 2D 패턴 전개 및 신축성 원단의 신장률을 고려한 사이클 팬츠 개발 (Development of 2D Patterns for Cycling Pants using 3D Data of Human Movement and Stretch Fabric)

  • 정연희;홍경희
    • 한국생활과학회지
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    • 제19권3호
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    • pp.555-563
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    • 2010
  • With recent advances in 3D scanning technology, three-dimensional (3D) patternmaking is becoming a powerful way to develop garments pattern. This technology is now applicable to the made to measure (MTM) system of both ordinary and tightly fitting garments. Although the pattern of fitted clothing has been developed using 3D human data, it is still interesting to develop cycling pants by considering while-cycling body posture and fabric elasticity. This study adopted the Garland's triangle simplification method in order to simplify data without distorting the original 3D scan. Next, the Runge-Kutta method (2C-AN program) was used to develop a 2D pattern from the triangular pixels in the 3D scanned data. The 3D scanned data of four male, university students aged from 21 to 25, was obtained using Whole body scanner (Model WB4, Cyberware, Inc., USA). Results showed the average error of measurement was $4.58cm^2$ (0.19%) for area and 0~0.61cm for the length between the 3D body scanned data and the 2D developed pattern data. This is an acceptable range of error for garment manufacture. Additionally, the 2D pattern developed, based on the 3D body scanned data, did not need ease for comfort or ease of movement when cycling. This study thus provides insights into how garment patterns may be developed for ergonomic comfort in certain special environments.

Assessment of the accuracy of laser-scanned models and 3-dimensional rendered cone-beam computed tomographic images compared to digital caliper measurements on plaster casts

  • Yousefi, Faezeh;Shokri, Abbas;Zahedi, Foozie;Farhadian, Maryam
    • Imaging Science in Dentistry
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    • 제51권4호
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    • pp.429-438
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    • 2021
  • Purpose: This study investigated the accuracy of laser-scanned models and 3-dimensional(3D) rendered cone-beam computed tomography (CBCT) compared to the gold standard (plaster casts) for linear measurements on dental arches. Materials and Methods: CBCT scans and plaster models from 30 patients were retrieved. Plaster models were scanned by an Emerald laser scanner (Planmeca, Helsinki, Finland). Sixteen different measurements, encompassing the mesiodistal width of teeth and both arches' length and width, were calculated using various landmarks. Linear measurements were made on laser-scanned models using Autodesk Meshmixer software v. 3.0 (Autodesk, Mill Valley, CA, USA), on 3D-rendered CBCT models using OnDemand 3D v. 1.0 (Cybermed, Seoul, Korea) and on plaster casts by a digital caliper. Descriptive statistics, the paired t-test, and intra- and inter-class correlation coefficients were used to analyze the data. Results: There were statistically significant differences between some measurements on plaster casts and laser-scanned or 3D-rendered CBCT models (P<0.05). Molar mesiodistal width and mandibular anterior arch width deviated significantly different from the gold standard in both methods. The largest mean differences of laser-scanned and 3D-rendered CBCT models compared to the gold standard were 0.12±0.23 mm and 0.42±0.53 mm, respectively. Most of the mean differences were not clinically significant. The intra- and inter-class correlation results were acceptable for all measurements(>0.830) and between observers(>0.801). Conclusion: The 3D-rendered CBCT images and laser-scanned models were useful and accurate alternatives to conventional plaster models. They could be used for clinical purposes in orthodontics and prostheses.

Segmentation and Classification of Lidar data

  • Tseng, Yi-Hsing;Wang, Miao
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.153-155
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    • 2003
  • Laser scanning has become a viable technique for the collection of a large amount of accurate 3D point data densely distributed on the scanned object surface. The inherent 3D nature of the sub-randomly distributed point cloud provides abundant spatial information. To explore valuable spatial information from laser scanned data becomes an active research topic, for instance extracting digital elevation model, building models, and vegetation volumes. The sub-randomly distributed point cloud should be segmented and classified before the extraction of spatial information. This paper investigates some exist segmentation methods, and then proposes an octree-based split-and-merge segmentation method to divide lidar data into clusters belonging to 3D planes. Therefore, the classification of lidar data can be performed based on the derived attributes of extracted 3D planes. The test results of both ground and airborne lidar data show the potential of applying this method to extract spatial features from lidar data.

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3D 스캔 데이터를 이용한 얼굴 애니메이션 시스템 (A Facial Animation System Using 3D Scanned Data)

  • 구본관;정철희;이재윤;조선영;이명원
    • 정보처리학회논문지A
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    • 제17A권6호
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    • pp.281-288
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    • 2010
  • 본 논문에서는 3차원 얼굴 스캔 데이터와 사진 이미지를 이용하여 고화질의 3차원 얼굴 모델과 모핑 애니메이션을 생성하는 시스템 개발에 대해 기술한다. 본 시스템은 얼굴 특징점 입력 도구, 얼굴 텍스처매핑 인터페이스, 3차원 얼굴 모핑 인터페이스로 구성되어 있다. 얼굴 특징점 입력 도구는 3차원 텍스처매핑과 모핑 애니메이션을 위한 보조 도구로서 얼굴의 특징점을 입력하여 텍스처매핑과 임의의 두 얼굴간의 모핑 영역을 정할 때 사용된다. 텍스처매핑은 3D 스캐너로부터 획득한 얼굴의 기하 데이터에 세 방향의 사진 이미지를 이용하여 매핑한다. 3D 얼굴모핑은 얼굴 특징점 입력 도구로부터 얻은 특징점을 중심으로 얼굴 영역을 분류하여 임의의 두 얼굴 간의 영역간 매핑을 실현한다. 본 시스템은 사용자가 별도의 프로그래밍 작업 없이 대화형 인터페이스에서 3D 스캐너에서 획득한 얼굴 메쉬 데이터를 이용하여 사진 이미지로 텍스처 매핑을 실행하여 사실적인 3D 얼굴 모델을 얻을 수 있고, 임의의 서로 다른 얼굴 모델들간의 모핑 애니메이션을 쉽게 실현할 수가 있다.

건설현장 3차원 점군 데이터 정합 정확성 향상을 위한 중첩비율 분석 (Analysis of overlap ratio for registration accuracy improvement of 3D point cloud data at construction sites)

  • 박수열;김석
    • 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.

자동차 부품 형상 결함 탐지를 위한 측정 방법 개발 (Development of An Inspection Method for Defect Detection on the Surface of Automotive Parts)

  • 박홍석;우펜드라 마니 툴라다르;신승철
    • 한국생산제조학회지
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    • 제22권3호
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    • pp.452-458
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    • 2013
  • Over the past several years, many studies have been carried out in the field of 3D data inspection systems. Several attempts have been made to improve the quality of manufactured parts. The introduction of laser sensors for inspection has made it possible to acquire data at a remarkably high speed. In this paper, a robust inspection technique for detecting defects in 3D pressed parts using laser-scanned data is proposed. Point cloud data are segmented for the extraction of features. These segmented features are used for shape matching during the localization process. An iterative closest point (ICP) algorithm is used for the localization of the scanned model and CAD model. To achieve a higher accuracy rate, the ICP algorithm is modified and then used for matching. To enhance the speed of the matching process, aKd-tree algorithm is used. Then, the deviation of the scanned points from the CAD model is computed.

3차원 데이터를 활용하여 시니어를 대상으로 한 바디쉐이퍼의 보정기능성 평가 (Evaluation of Efficacy of Body Shaper for Senior Women Using 3D Scanned Data)

  • 김소영;홍경희;이희란
    • 한국의류산업학회지
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    • 제21권2호
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    • pp.220-230
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    • 2019
  • The Fourth Industrial Revolution has increased studies on observing the cross section by overlapping the clothing worn using 3D human body data. However, there is a lack of studies on the effect of pressure clothing that contracts the shape of the human body. Therefore, this study objectively evaluated the shaping functionality of body shapers using 3D scan and 3D data. Two types of commercial body shapers were selected for this study. The nude body and body wearing body shapers were then scanned. A 3D program evaluated the shaping functionality by overlapping the nude state with the body wearing body shaper A and B respectively. As a result, it was found that the effect of body shapers could be adequately observed according to body parts. The smaller body shaper was shown to have superior shaping capability with the abdomen more affected. Analysis of the horizontal cross section indicated that the waist circumference decreased by 6 cm when wearing body shaper A and decreased by 12cm when wearing body shaper B. The volume of the waist part decreased by 8.6% when wearing body shaper A and by 20.4% when wearing body shaper B. Therefore, it is more effective to compare the objective shaping functionality by body parts using the overlapped 3D scanned data rather than using exterior evaluation or length measurement when wearing clothing that contracts the body shape.

문화 및 자연 유산의 해석을 위한 3차원 스캔 모델의 가시화 - 공룡발자국의 기록과 해석 사례 (Visualization of 3D Scanned Model for Interpretation of Heritage - Case of Dinosaur Tracks for Documentation and Interpretation)

  • 안재홍;공달용;원광연
    • 한국HCI학회논문지
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    • 제8권1호
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    • pp.19-28
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    • 2013
  • 문화 자연유산 분야에서 3차원 스캐닝 기술은 아직 기록과 보존, 모니터링의 도구로 활용 폭이 제한되어 있으며, 전문가들에 의해 직접 활용되지 못하고 있다. 스캔 데이터의 정밀한 기하 정보는 효과적인 가시화를 통해 전문가들의 과학적 해석을 가능하게 할 수 있다. 본 연구에서는 이를 위해 스캔 모델로부터 필요한 기하 특성을 가시화하는 렌더링 기법들을 분석하고, 스캔 데이터의 가시화 파이프라인과 렌더링 기법 및 이의 분류 체계를 제시하였다. 또한 사례연구로서, 공룡발자국 분야의 기존 연구 방법을 분석하여 문제점을 도출하고, 이에 따라 스캔 모델을 가시화하여 전문가를 대상으로 테스트를 수행하였으며 이를 통해 효과성을 확인하였다. 본 연구는 3차원 스캔 데이터를 이용하여 문화 및 자연유산을 효과적으로 해석할 수 있는 실용적 방안을 제시하였음에 의의가 있다.

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