• 한국HCI학회:학술대회논문집
• /
• 한국HCI학회 2009년도 학술대회
• /
• pp.163-167
• /
• 2009

3 차원 인체 스캔 차원 기술의 활용도는 정확도의 개선과 가격의 저렴화로 인해 산업계에서 점점 부각되고 있다. 이런 인체 스캔 데이터의 활용도를 높이기 위해서는 인체 스캔 데이터의 기준점 추출이 필수적이다. 본 논문에서는 자동으로 인체 스캔 데이터의 기준점을 추출하는 알고리즘을 제안한다. 이를 위해 여러 인체 스캔 데이터들을 활용하여 주성분 분석을 하고 최적화를 거쳐 마커 없는 매칭을 수행한다. 최종적으로는 생성된 인체 모델의 위상 구조에서 기준점을 추출한다.

• 한국의류학회지
• /
• 제29권3_4호
• /
• pp.502-510
• /
• 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.