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Latent Doodle Space
Author(s) -
Baxter William,
Anjyo Kenichi
Publication year - 2006
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2006.00967.x
Subject(s) - computer science , sketch , handwriting , set (abstract data type) , artificial intelligence , space (punctuation) , latent variable model , heuristic , latent variable , pattern recognition (psychology) , algorithm , programming language , operating system
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.Keywords: sketch, by‐example, style learning, scattered data interpolation, principal component analysis, radial basis functions, Gaussian processes, digital in‐betweening, handwriting synthesis