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Automatic Measurement For Apparel Customization From 3D Human Body

Posted on:2012-10-04Degree:MasterType:Thesis
Country:ChinaCandidate:B R LvFull Text:PDF
GTID:2178330332476031Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
In recent years, with the development and improvement of 3D body scanning technology, mass customization is becoming a new trend in clothing industry from which customs can customize and modify their own clothes, and there is an increasing research on the anthropometry.Clothing customization needs dimensional data of human body. The traditional way is measurement of body-contact by manual, which usually needs experienced people. The result is so much related to the technique of the measurer that both the quality and quantity of the dimensional data obtained are limited, which would hinder the development of mass customization of clothing. The use of modern 3D scanning technology getting the body data in the way of non-contact which can measure the dimensional data automatically not only economizes on manpower and material resources, but also advances the progress of integration on mass customization industry. But it can only get the surface data, which usually consists of a great many points and triangles. So body measurement of the scanned human body automatically is a very complicated problem in practical applications.This paper proposed a simple but rapid method for automatic measurement of scanned human body in fixed posture. The body surface was sliced into many paralleled intersections from which we can detect the landmarks that segmentation needs. In every subsection, we continue to extract more detail landmarks for the circumference and the length measurement.Finally, we present experimental results to verify our methods are efficient in processing different body data. We run several different case of male and female scanned bodies in our system to get the measurement data, and compare them with the result of manual.
Keywords/Search Tags:apparel customization, 3D human scanning, automatic segmentation, automatic measurement
PDF Full Text Request
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