• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.163-167
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• 2009

3D human body scan technique is known to be practically useful in industrial field as the technique becomes more precise and cheaper. Landmark extraction is essential for full utilization of the scan data. In this paper, we suggest an algorithm for automatic landmark extraction. For this purpose, we perform markerless matching to the target data using PCA analysis and quasi-Newton optimization. Landmarks are extracted from the topology of resulting body.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.3_4 s.141
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• pp.502-510
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• 2005

The purpose of this study is to identify neck shapes of women by classifying their neck-base types according to the shapes of neck and analyzing the characteristics of each type. The subjects were 58 women $18\~24$ years of age. Their body were measured directly and indirectly by using camera, 3-dimensional body scanner. The anthropometric measurements were composed of 17 items. They were measured during the months of October in 2001 The results and discussions of this study are as follows. There were three kinds of neck-base type. The first type was slant from the back neck-base to the side neck-base, and slant from the side neck-base to the front neck-base. The second type was gentle from the back neck-base to the side neck-base, and gentle from the side nect-base to the front neck-base. finally, the third type was gentle from the back neck-base to the side neck-base, and slant from the side neck-base to the front neck-base. Hopefully, understanding the shapes of neck and characteristics of each neck-base type will help to suggest computer assisted neck-base's landmark identification algorithms and measurement extraction methods from three-dimensional body scan data.