키넥트와 통계 모델에 기반한 특정 개인의 인체 외형 모델링

Title
키넥트와 통계 모델에 기반한 특정 개인의 인체 외형 모델링
Other Titles
Subject-specific human body shape modeling based on kinects and a statistical model
Authors
김재정
Keywords
Human body shape modeling; Principal component analysis; Statistical model; 3D whole-body scans
Issue Date
2015-02
Publisher
한국 CAD CAM 학회
Citation
, Page. 154-157
Abstract
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.
URI
http://www.dbpia.co.kr/Journal/ArticleDetail/NODE06284082http://hdl.handle.net/20.500.11754/22276
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > MECHANICAL ENGINEERING(기계공학부) > Articles
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