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Subject-specific human body shape modeling based on kinects and a statistical model

Title
Subject-specific human body shape modeling based on kinects and a statistical model
Author
손세민
Alternative Author(s)
Son, Sei Min
Advisor(s)
김재정
Issue Date
2015-08
Publisher
한양대학교
Degree
Master
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 statiscal 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 modeling accuracy satisfying specified subject’s body geometry.
URI
http://dcollection.hanyang.ac.kr/jsp/common/DcLoOrgPer.jsp?sItemId=000000087479https://repository.hanyang.ac.kr/handle/20.500.11754/127920
Appears in Collections:
GRADUATE SCHOOL[S](대학원) > MECHANICAL ENGINEERING(기계공학과) > Theses (Master)
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