3D 스캔 데이터 기반의 통계적 인체형상 모델링Statistical Human Body Shape Modeling based on 3D Scans
- Other Titles
- Statistical Human Body Shape Modeling based on 3D Scans
- Authors
- 박은주; 구본열; 채제욱; 김재정
- Issue Date
- Feb-2014
- Publisher
- (사)한국CDE학회
- Keywords
- Human body shape modeling; Parametric modeling; Statistical model; 3D whole-body scans
- Citation
- 2014 한국 CAD/CAM 학회 학술발표회 논문집, pp.626 - 628
- Indexed
- OTHER
- Journal Title
- 2014 한국 CAD/CAM 학회 학술발표회 논문집
- Start Page
- 626
- End Page
- 628
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/160604
- Abstract
- In this paper, we present a method for parametric human body shape modeling based on a statistical approach to generate realistic 3D human body shape from key anthropometric measurements such as height and weight. This method is composed of three steps. First, we construct a human body shape database for statistical analysis from a 3D body scan data of 120 male with a wide variety of body type. Second, we accomplish feature analysis of human body shape through the results from the statistical analysis using principal component analysis (PCA). Finally, we derive the correlation between the human body shapes and anthropometric measurements to synthesize a new human body shape from the database. The proposed method allows user to generate realistic 3D human body shapes according to user-specified key anthropometric parameters such as height and weight. Also, our method is possible the detail human body shape modeling with the control of several anthropometric measurements presented in this paper except key anthropometric parameters. And, the generated model is automatically segmented to 16 regions, which can be utilized in a variety of areas such as ergonomic design or user-tailored design.
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