디지털 원단의 감성이미지 도출을 위한 데이터베이스 활용 방안 연구 -니트 원단을 중심으로-
A Study on Database Application for Deriving the Emotional Feeling of Digital Fabric - Based on Knit Fabrics -
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In recent fashion market, 3D virtual clothing systems are used to shorten the production process and reduce the production cost of clothing samples. For implementing of this technology, high quality of database are required. Basic information can be obtained when buying new fabric, but more fabric properties are needed to get high quality database. Extra experiment is needed for obtaining fabric properties for database, but it has low efficiency. In this research, 285 knit fabric database was constructed by Kawabata Evaluation System for Fabrics (KES-FB) and fabric drape equipment. For the purpose of utilization, knit fabrics were calssified according to sensory characteristics for 5 experts, and it was possible to select duplucates when calssifying. As a result of the classification, it was classified into 74 types of outer, 77 types of active, and 235 types of top. Drape property, stiffness, and fullness were categorized in 7 grade in each. By using Euclidean similarity, 3 similar knit fabrics that can extract drape property, stiffness, and fullness were derived from constructed database. For checking the accuracy of this method, drape property, stiffness, and fullness of real knit fabric and extracted fabric were compared by using grade. The result shows that high similarity between real fabrics and extracted fabrics regardless of fabric type except active usage. The relatively low similarity of active fabric is thought to be the influence of the different characteristics due to functional processing. So it is thought that more supplement experiment in active fabric case should be needed In this study, physical and emotional fabric data can be extracted in a simpler way through the database and it is expected that this research can contribute to the reproducibility of 3D modeling in the fashion field.
Abstract
In recent fashion market, 3D virtual clothing systems are used to shorten the production process and reduce the production cost of clothing samples. For implementing of this technology, high quality of database are required. Basic information can be obtained when buying new fabric, but more fabric properties are needed to get high quality database. Extra experiment is needed for obtaining fabric properties for database, but it has low efficiency. In this research, 285 knit fabric database was constructed by Kawabata Evaluation System for Fabrics (KES-FB) and fabric drape equipment. For the purpose of utilization, knit fabrics were calssified according to sensory characteristics for 5 experts, and it was possible to select duplucates when calssifying. As a result of the classification, it was classified into 74 types of outer, 77 types of active, and 235 types of top. Drape property, stiffness, and fullness were categorized in 7 grade in each. By using Euclidean similarity, 3 similar knit fabrics that can extract drape property, stiffness, and fullness were derived from constructed database. For checking the accuracy of this method, drape property, stiffness, and fullness of real knit fabric and extracted fabric were compared by using grade. The result shows that high similarity between real fabrics and extracted fabrics regardless of fabric type except active usage. The relatively low similarity of active fabric is thought to be the influence of the different characteristics due to functional processing. So it is thought that more supplement experiment in active fabric case should be needed In this study, physical and emotional fabric data can be extracted in a simpler way through the database and it is expected that this research can contribute to the reproducibility of 3D modeling in the fashion field.
참고문헌 (9)
- 강은미, "가상피팅을 이용한 의류제품 구매의도 영향변수에 관한 연구", 한국디자인문화학회지, 26(1), pp.1~13 (2020), 한국디자인문화학회
- 김은석, "직물의 드레이프성 측정 방법 개발", 대한설비관리학회지, 07(2), pp.7~ (2002), 대한설비관리학회
- 송광섭, "이미지 분석법을 이용한 직물의 드레이프성 측정방법에 대한 연구", 한국섬유공학회지, 38(2), pp.95~104 (2001)
- 신장희, "3D virtual clothing simulation을 활용한 남자 중학생의 브랜드교복 패턴비교 및 체형별 교복 패턴개발", 한국의상디자인학회지, 23(1), pp.143~154 (2021), 한국의상디자인학회[DOI]
- 신혜경, "MZ세대를 위한 3D Virtual Technology의 융합 특성을 활용한 이지 캐주얼웨어 (Easy Casual wear) 디자인", 한국과학예술융합학회, 38(5), pp.287~296 (2020), 한국전시산업융합연구원[DOI]
- 안희준, "의상 이미지의 3차원 의상 복원 방법과 가상착용 응용", 한국산업정보학회논문지, 25(5), pp.1~11 (2020), 한국산업정보학회[DOI]
- 양설송, "3D 프로그램을 이용한 의복 패턴 최적화 융합 방법 연구", 한국과학예술융합학회, 38(5), pp.317~327 (2020), 한국전시산업융합연구원[DOI]
- 정경미, "키토산", 은나노 혼합용액처리에 의한 환자복 소재의 기능성 향상 - 역학적 특성과 태 평가 -, 2009, pp.21(1), 21~29[DOI]
- 정수진, "솔기 유형이 직물의 드레이프성에 미치는 영향", 한국의류산업학회지, 13(3), pp.418~424 (2011), 한국의류산업학회