@inproceedings{Chen:2004:EBS,
  optorganization = {},
  author = {Hong Chen and Ziqiang Liu and Chuck Rose and Yingqing Xu and
            Heung-Yeung Shum and David H. Salesin},
  optkey = {},
  optseries = {},
  editor = {Aaron Hertzmann and Craig Kaplan},
  url = {http://research.microsoft.com/~rose/composecartoon-final-20040224.pdf},
  localfile = {papers/Chen.2004.EBC.pdf},
  address = {New York},
  publisher = {ACM Press},
  doi = {http://doi.acm.org/10.1145/987657.987673},
  optmonth = {},
  opturl = {},
  optcrossref = {},
  booktitle = NPAR2004,
  optstatus = {},
  optvolume = {},
  optnumber = {},
  title = {{E}xample-{B}ased {C}omposite {S}ketching of {H}uman {P}ortraits},
  abstract = {Creating a portrait in the style of a particular artistic
              tradition or a particular artist is a difficult problem. Elusive
              to codify algorithmically, the nebulous qualities which combine to
              form artwork are often well captured using example-based
              approaches. These methods place the artist in the process, often
              during system training, in the hope that their talents may be
              tapped. Example based methods do not make this problem easy,
              however. Examples are precious, so training sets are small,
              reducing the number of techniques which may be employed. We
              propose a system which combines two separate but similar
              subsystems, one for the face and another for the hair, each of
              which employs a global and a local model. Facial exaggeration to
              achieve the desired stylistic look is handled during the global
              face phase. Each subsystem uses a divide-and-conquer approach, but
              while the face subsystem decomposes into separable subproblems for
              the eyes, mouth, nose, etc., the hair needs to be subdivided in a
              relatively arbitrary way, making the hair subproblem decomposition
              an important step which must be handled carefully with a
              structured model and a detailed model.},
  year = {2004},
  pages = {95--102},
}