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A knowledge-driven approach for Korean traditional costume (hanbok) modeling

Title
A knowledge-driven approach for Korean traditional costume (hanbok) modeling
Authors
Nam Y.-H.Lee B.-R.Oh C.S.
Ewha Authors
남양희
SCOPUS Author ID
남양희scopus
Issue Date
2004
Journal Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN
0302-9743JCR Link
Citation
vol. 3331, pp. 9 - 16
Indexed
SCOPUS WOS scopus
Abstract
Though garment simulation is now one of the important elements in broad range of digital contents, general users do not know well enough how to design a virtual costume that meets some requirements of its specific clothing pattern. In particular, hanbok-the Korean traditional costume- has many different characteristics against western ones in the aspect of its pattern design and of draping. This paper presents a knowledge-driven approach for supporting hanbok draping simulation without knowing how to design hanbok. Based on the analysis of designer's knowledge, we defined multi-level method of measurement construction according to the body shape features of different virtual actors. An experimental system is developed in the form of a Maya plug-in so that we can assure that time and effort for hanbok modeling is reduced and made easy. © Springer-Verlag Berlin Heidelberg 2004.
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신산업융합대학 > 융합콘텐츠학과 > Journal papers
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