We propose the concept of a latent doodle space, a low-dimensional space derived from a set of input doodles, or simple line drawings. The latent space provides a foundation for generating new drawings that are similar, but not identical to, the input examples. The two key components of this technique are 1) a heuristic algorithm for finding stroke correspondences between the drawings, and 2) the use of latent variable methods to automatically extract a low-dimensional latent doodle space from the inputs. We present two practical applications that demonstrate the utility of this idea: first, a randomized stamp tool that creates a different image on every usage; and second, “personalized probabilistic fonts,” a handwriting synthesis technique that mimics the idiosyncrasies of one’s own handwriting.






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[Publication]
William Baxter, Ken-ichi Anjyo, "Latent Doodle Space", Computer Graphics Forum, vol.25(3).pp.477-485 (Eurographics2006, Vienna, Austria. September 4-8 2006)

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Posted by ka on September 2, 2006 3:26 PM | Permalink