Texture Generation for Fashion Design Using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4524

  author =       "Durga Prasad Muni and Nikhil R. Pal and J. Das",
  title =        "Texture Generation for Fashion Design Using Genetic
  booktitle =    "9th International Conference on Control, Automation,
                 Robotics and Vision, ICARCV '06",
  year =         "2006",
  pages =        "1--5",
  address =      "Singapore",
  month =        "5-8 " # dec,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, Texture
                 Generation, Interactive, clustering, evolutionary
                 computation, statistical features",
  ISBN =         "1-4244-0341-3",
  DOI =          "doi:10.1109/ICARCV.2006.345073",
  size =         "5 pages",
  abstract =     "We present a methodology to generate textures for
                 fashion design using genetic programming (GP). The
                 proposed GP based scheme evolves tree representation of
                 procedures to generate textures. We use Contrast of the
                 generated textures/images to filter out poor textures.
                 After filtering, the fitness value of a new texture is
                 set as the fitness value of a cluster of (already
                 generated) textures which is more similar to this new
                 texture. For this, we execute a clustering step during
                 the evolution. Statistical features are used to find
                 the similarity between textures. Since the quality of a
                 texture is best assessed by a human being, if the
                 generated texture is quite dissimilar to the existing
                 textures then user's discretion is sought to assign a
                 fitness value to it by visual inspection of the

Genetic Programming entries for Durga Prasad Muni Nikhil Ranjan Pal Jyotirmay Das