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dc.contributor.author김명준-
dc.date.accessioned2016-08-27T02:08:29Z-
dc.date.available2016-08-27T02:08:29Z-
dc.date.issued2006-
dc.identifier.isbn3-540-35638-X-
dc.identifier.issn0302-9743-
dc.identifier.otherOAK-3477-
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/216006-
dc.description.abstractAmong many skin color sources, hemoglobin and melanin components are regarded most significant in determining the final color of human skin. In extracting the two components, this paper proposes to use a more intuitive color model, HSV, than the RGB color space. For 3D rendering, we propose a novel method to reconstruct the fine-scale structure (normal map) of the human skin from a single highly specular image, or from a pair of highly specular and diffusive images. In the shape-from-shading algorithm, several photos varying light positions should have been taken to compute the normal of diffusive surfaces; which, however, was hardly the case for capturing fine skin structure since the human subjects cannot keep still while taking many photos. Therefore, our approach rids us of the difficult task to register several images.-
dc.languageEnglish-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleSkin color analysis in HSV color space and rendering with fine scale skin structure-
dc.typeArticle-
dc.typeProceedings Paper-
dc.relation.volume4035-
dc.relation.indexSCOPUS-
dc.relation.startpage254-
dc.relation.lastpage264-
dc.relation.journaltitleADVANCES IN COMPUTER GRAPHICS, PROCEEDINGS-
dc.identifier.wosidWOS:000239486600022-
dc.identifier.scopusid2-s2.0-33746211229-
dc.author.googleKim, Dae Hyun-
dc.author.googleKim, Myoung-Jun-
dc.contributor.scopusid김명준(56122972500)-
dc.date.modifydate20180302081000-
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신산업융합대학 > 융합콘텐츠학과 > Journal papers
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