TY - JOUR AU - 김재정 DA - 2015/02 PY - 2015 UR - http://www.dbpia.co.kr/Journal/ArticleDetail/NODE06284082 UR - http://hdl.handle.net/20.500.11754/22276 AB - In this paper, we propose a novel modeling framework to generate a subject-specific body shape model using kinects and a statistical model. The modeling framework consists of the following three phases: statistical model construction, rough deformation and fine deformation. In first phase, we construct a statistical body shape model based on 3D whole-body scans. The statistical body shape model is roughly deformed by processing rough deformation with specific subject"s body shape captured by kinects in second phase. Finally, exact body shape of the subject is created in fine deformation phase. In this phase, we propose a new method to guarantee the matching process, between scanned 3D point cloud and the statistical model, to be accurate. Our approach have produced a realistic and detailed body shape model having a high modeling accuracy satisfying specified subject"s body geometry. PB - 한국 CAD CAM 학회 KW - Human body shape modeling KW - Principal component analysis KW - Statistical model KW - 3D whole-body scans TI - 키넥트와 통계 모델에 기반한 특정 개인의 인체 외형 모델링 TT - Subject-specific human body shape modeling based on kinects and a statistical model ER -