@misc{Hanrahan:2005:RAF,
  howpublished = {Capstone talk at Eurographics 2005 (August 29--September 02,
                  2005, Trinity College, Dublin, Ireland)},
  month = aug,
  author = {Pat Hanrahan},
  optkey = {},
  optannote = {},
  abstract = {The 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.},
  title = {{R}ealism or {A}bstract {I}magery: {T}he {F}uture of {C}omputer
           {G}raphics?},
  localfile = {papers/Hanrahan.2005.RAF.pdf},
  year = {2005},
  doi = {http://dx.doi.org/10.1111/j.1467-8659.2005.00848.x},
}