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dc.contributor.authorWang, C.M.en_US
dc.contributor.authorLee, J.S.en_US
dc.description.abstractThe line integral convolution (LIC) method, originally developed for imaging vector fields in scientific visualization, has the potential to produce images with directional characteristics. In this paper, we present four techniques to explore the use of LIC in generating images in the style of the Impressionists. In particular, we develop an Impressionist Line Integral Convolution algorithm (ILIC) to generate images with impressionist styles. This algorithm takes advantage of directional information given by a photographic image, incorporates a shading technique to blend cool and warm colors into the image, and finally applies the revised LIC method to imitate artists, paintings done in impressionist styles. Furthermore, we propose a color fidelity technique, which takes advantage of the cool-to-warm scheme, initiating artists' conventional painting to enhance visual depth perception. We also present an information preservation technique, which quantifies image details to control the convolution length, making it possible to preserve subtle information during the convolution process. Finally, we demonstrate a top-down sampling technique, where a series of artistic mip-maps is generated to construct aesthetic virtual environments. These maps provide constant strokes with directional cues, thus achieving frame-to-frame coherence in an interactive walkthrough system, Both the silhouette drawing and tour into the Picture (TIP) approaches are employed to enhance the user's immersion in a virtual world. The experimental results demonstrate the merits of our techniques in generating images in impressionist styles and constructing an interactive walkthrough system that provides an immersion experience rendered in painting styles.en_US
dc.relationJournal of Information Science and Engineeringen_US
dc.relation.ispartofseriesJournal of Information Science and Engineering, Volume 20, Issue 5, Page(s) 923-948.en_US
dc.subjectline integral convolution methoden_US
dc.subjectnon-photorealistic renderingen_US
dc.subjectaesthetic virtual environmenten_US
dc.subjectartistic mip-mapen_US
dc.titleNon-photorealistic rendering for aesthetic virtual environmentsen_US
dc.typeJournal Articlezh_TW
item.openairetypeJournal Article-
item.fulltextno fulltext-
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