Latent Doodle Space

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dc.contributor.authorBaxter, Williamen_US
dc.contributor.authorAnjyo, Ken-ichien_US
dc.date.accessioned2015-02-21T14:31:22Z
dc.date.available2015-02-21T14:31:22Z
dc.date.issued2006en_US
dc.description.abstractWe 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.Keywords: sketch, by-example, style learning, scattered data interpolation, principal component analysis, radial basis functions, Gaussian processes, digital in-betweening, handwriting synthesisen_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume25en_US
dc.identifier.doi10.1111/j.1467-8659.2006.00967.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages477-485en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2006.00967.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing, Incen_US
dc.titleLatent Doodle Spaceen_US
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