3D 스캔 데이터 기반의 통계적 인체형상 모델링
- Title
- 3D 스캔 데이터 기반의 통계적 인체형상 모델링
- Other Titles
- Statistical Human Body Shape Modeling based on 3D Scans
- Author
- 김재정
- Keywords
- Human body shape modeling; Parametric modeling; Statistical model; 3D whole-body scans
- Issue Date
- 2014-02
- Publisher
- (사)한국CDE학회
- Citation
- 한국CDE학회 학술대회 논문집, 2014, P.626-628
- 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.
- URI
- http://www.dbpia.co.kr/Journal/ArticleDetail/NODE02496007https://repository.hanyang.ac.kr/handle/20.500.11754/71183
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > MECHANICAL ENGINEERING(기계공학부) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML