Research on Archaeology and Digital Restoration of Costumes in DaoLian Painting - Université de Lille Accéder directement au contenu
Article Dans Une Revue Sustainability Année : 2022

Research on Archaeology and Digital Restoration of Costumes in DaoLian Painting

X. N. Li
  • Fonction : Auteur
Q. W. Zeng
  • Fonction : Auteur
R. L. Wang
  • Fonction : Auteur
B. Zhang
  • Fonction : Auteur
Z. Lu
  • Fonction : Auteur
C. Chen
  • Fonction : Auteur
X. Y. Xin
  • Fonction : Auteur
Y. L. Wu
  • Fonction : Auteur
J. J. Zhang
  • Fonction : Auteur

Résumé

Costume restoration is one of the important ways to study costume history and culture. The purpose of this paper is to show the characteristics of Chinese costumes more than 1000 years ago, through the research on the costume in the famous ancient Chinese painting DaoLian painting, and provide strong technical support for the research of Chinese ancient costume culture. DaoLian painting is the work of Xuan Zhang, a famous painter in Tang dynasty (618–907), China. From the perspective of clothing engineering, we analyzed the characteristics of costume style, color, and pattern and used the virtual fitting technology to realize digital restoration of the costume of 12 characters in the painting. The results show that it is a practical method to study costume from paintings. The colors, patterns, and character gestures in the paintings provide sufficient information for the archaeology and restoration of ancient costumes. The research results of this paper can provide a new idea for costume archaeology and a reference for modern fashion design and materials for the VR Museum of Ancient Costumes.
Fichier principal
Vignette du fichier
sustainability-14-14054.pdf (4.02 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-04514317 , version 1 (21-03-2024)

Licence

Identifiants

Citer

Chun Zhu, Kaixuan Liu, X. N. Li, Q. W. Zeng, R. L. Wang, et al.. Research on Archaeology and Digital Restoration of Costumes in DaoLian Painting. Sustainability, 2022, Sustainability, 14, ⟨10.3390/su142114054⟩. ⟨hal-04514317⟩

Collections

UNIV-LILLE
3 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More