메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
이재열 (광주보건대 피부미용과) 구자명 (한성대학교 패션예술학과)
저널정보
한국의류학회 한국의류학회지 한국의류학회지 제29권 제3호
발행연도
2005.1
수록면
414 - 424 (11page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
This study aims to suggest new directions for the development of make-up design by understanding characteristics of deconstruction make-up and to search for new directions and methods in theme expressions and design conceptions by making illustrations with deconstruction themes. This study examines conceptual characteristics of Derrida's deconstruction, and analyzes the various deconstruction make-up styles through the famous fashion magazines such as Beauty Collection, Collections, Fem, Modain, and Vogue since 1997. The make-up illustration works in this study were made depending on these styles. At first, the nature of deconsouction make-up can be explained as deconstruction of existing methods, deconstruction of the sexes and deconstruction of history or ethnicity. The deconstruction of existing methods can be subdivided into decadence make-up, detester make-up, graphic make-up and collage make-up. Deconstruction of the sexes can be explained androgynous make-up. Deconstruction of history or ethnicity is subdivided into white makeup, ancient Egyptian dark eye make-up and raceless make-up. The deconstruction make-up illustrations present infinite possibilities in expression styles through three dimensional expressions and media mixture using not only drawing materials including watercolor, poster-color, and color pencils but also objets including magazines, coarse fabrics, screentone, beads, suede, sand and so on. The study shows that since deconstruction make-up illustrations are not limited to depiction-centered expressions, they serve creating unique images and future inspirations.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0