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dc.contributor.authorWay, DLen_US
dc.contributor.authorHsu, CWen_US
dc.contributor.authorChiu, HYen_US
dc.contributor.authorShih, ZCen_US
dc.date.accessioned2014-12-08T15:26:54Z-
dc.date.available2014-12-08T15:26:54Z-
dc.date.issued2001en_US
dc.identifier.isbn80-7082-712-4en_US
dc.identifier.urihttp://hdl.handle.net/11536/19132-
dc.description.abstractPracticed for more than three thousand years, Chinese painting stresses the notion of "implicit meaning" in which painters use a minimum amount of strokes to express their deepest feelings. Chinese landscape and figure paintings are the two major themes of Chinese painting. Of relevant interest is more thoroughly understand Chinese art by analyzing basic rules of Chinese painting. This paper proposes two novel methods capable of synthesizing rock textures in Chinese landscape painting and synthesizing portraits in Chinese figure painting, respectively In addition to saving time during trial and error, these two methods attempt to synthesize painting styles. After users only specify the contour and parameters, our methods underwrite the complete painting process. With the requirement of familiarity with painting skills, individuals can paint various styles of Chinese painting.en_US
dc.language.isoen_USen_US
dc.subjectnon-photorealistic rendering(NPR)en_US
dc.subjectChinese landscape paintingen_US
dc.subjectTS'UNen_US
dc.subjecthemp-fiber texture strokesen_US
dc.titleComputer-generated Chinese painting for landscapes and portraitsen_US
dc.typeProceedings Paperen_US
dc.identifier.journalW S C G ' 2001, VOLS I & II, CONFERENCE PROCEEDINGSen_US
dc.citation.spage387en_US
dc.citation.epage394en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000169114200052-
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