Realistic or Abstract Imagery: The Future of Computer Graphics?

dc.contributor.authorHanrahan, Paten_US
dc.date.accessioned2015-02-20T10:03:20Z
dc.date.available2015-02-20T10:03:20Z
dc.date.issued2005en_US
dc.description.abstractThe big idea in computer graphics, what makes CG different from other ways of making images, is that CG represents images symbolically. The artist or designer creates a symbolic representation of the image, and the computer converts that representation to physical media. Because computational processes are so flexible, we have the freedom to invent any abstract representation that suits our needs.Somewhat surprisingly, most of computer graphics research has focused on the science and technology needed to make photorealistic images representing the physical world. In this talk, I will argue that we should shift our focus to developing techniques for manipulating abstract image representations. Historically, abstract imagery is more recent and more innovative than realistic imagery. Functionally, abstract image representations are often more informative and more expressive than realistic ones. More fundamentally, abstract image models better depict our mental models of the world, and are hence more useful to most people that use computer graphics in their work. In addition to motivating this line of research, I will outline some potentially promising research directions.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume24en_US
dc.identifier.doi10.1111/j.1467-8659.2005.00848.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pagesxxi-xxien_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2005.00848.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing, Incen_US
dc.titleRealistic or Abstract Imagery: The Future of Computer Graphics?en_US
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