Abstract

ABSTRACT The purpose of this study is to suggest computer assisted neck-base's landmark identifica tion algorithms and measurement extraction methods from three-dimensional human scan data. So we developed the algorithms for automatic identification of landmarks related to the neck-base types. The subjects were 58 women 18 ¥ 24 years of age. Their body were measured directly and indirectly by using camera and three-dimensional body scanner. They were measured during the months of October in 2001. Based on the characters of classified neck-base types, algorithms for the automatic identification of landmarks and methods of automatic measurement are developed. The three-dimensional automatic measuring program is made by C ++ language. Using this program, 4 landmarks are identified and 6 items are measured. In the verifying the precision of automatic measurement, the height measurements(cer vicale, side neck point, front neck point) were relatively accurate, but neck-base width measurement was measured wide. Keyword: Neck-base, Three-dimensional automatic measurement, Algorithm

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