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Extracting Human Body Feature Measurement Based On Point Cloud Data

Posted on:2013-01-31Degree:MasterType:Thesis
Country:ChinaCandidate:D L ChengFull Text:PDF
GTID:2218330368487305Subject:Costume design and engineering
Abstract/Summary:PDF Full Text Request
With the appearance of the 3d non-contact body scanning technology, the whole human 3D data can be gotten in a time from seconds to dozens of seconds. 3D non-contact body scanning technology has been used in many fields, but it is still a new technology in the apparel industry, and there has a big space for it to apply. The development of made to measure in the apparel industry,3D virtual design, and virtual fitting all depend on the development of 3D scanning technology. High quality model of the human body can be provided by the 3D scanning equipment which has already been developed at present. But most of the measuring equipments got just the point cloud data without the characteristic information. The information of feature measurement which 3D garment CAD need can't be gotten directly. However 3D body scanning can get the 3D points more than 300,000, which involves a large amount of information. So the technologies of 3D body measurement and extracting human body feature measurement are the base of the whole 3D garment CAD technology development. In order to make the 3D scanning data be put into use in the follow-up process, the feature points and feature measurement must be extracted.This paper mainly discussed that identification and division of the logical point cloud data after point cloud data of body were obtained through the 3D scanner. Combing with the definitions of the geometrical features and feature parts of 3D body in Clothology, got the datum points or feature points of feature measurement. According to these datum points or feature points obtained the data of section which was corresponding to the feature measurement. B-spline was taken to fit these data in order to get the feature measurement. This paper expounded the methods of the recognition of the front and back of scanned human body, the identification of the scanned human body, and recognition of the datum points and feature point, extracted feature measurement and so on. Finally, the feature measurement of neck circumference, chest circumference, waistline, hipline, shoulder, neck to waist and armhole, etc , in the clothing application were gotten.
Keywords/Search Tags:The point cloud data, Feature measurement, Feature point, Measurement extraction
PDF Full Text Request
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