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dc.contributor.authorGerstner, Timothyen_US
dc.contributor.authorDeCarlo, Dougen_US
dc.contributor.authorAlexa, Marcen_US
dc.contributor.authorFinkelstein, Adamen_US
dc.contributor.authorGingold, Yotamen_US
dc.contributor.authorNealen, Andrewen_US
dc.contributor.editorPaul Asente and Cindy Grimmen_US
dc.date.accessioned2013-11-08T10:24:08Z
dc.date.available2013-11-08T10:24:08Z
dc.date.issued2012en_US
dc.identifier.isbn978-3-905673-90-6en_US
dc.identifier.urihttp://dx.doi.org/10.2312/PE/NPAR/NPAR12/029-036en_US
dc.description.abstractWe present an automatic method that can be used to abstract high resolution images into very low resolution outputs with reduced color palettes in the style of pixel art. Our method simultaneously solves for a mapping of features and a reduced palette needed to construct the output image. The results are an approximation to the results generated by pixel artists. We compare our method against the results of a naive process common to image manipulation programs, as well as the hand-crafted work of pixel artists. Through a formal user study and interviews with expert pixel artists we show that our results offer an improvement over the naive methods.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCR Categories: I.3.3 [Computer Graphics]: Picture/Image Generation- [I.3.4]: Computer Graphics-Graphics Utilities; Keywords: pixel art, image abstraction, non-photorealistic rendering, image segmentation, color quantizationen_US
dc.titlePixelated Image Abstractionen_US
dc.description.seriesinformationInternational Symposium on Non-Photorealistic Animation and Renderingen_US


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  • NPAR12
    ISBN 978-3-905673-90-6

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