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[LGC+06]  NPAR by Example: Line Drawing Facial Animation from Photographs

Luo:2006:NEL (In proceedings)
Author(s)Luo Y., Gavrilova M. and Costa Sousa M.
Title« NPAR by Example: Line Drawing Facial Animation from Photographs »
InProceedings of the International Conference on Computer Graphics, Imaging and Visualisation (CGIV 2006, July 26--28, 2006, Sydney, Australia)
Page(s)514--521
Year2006
PublisherIEEE Computer Society
AddressLos Alamitos, CA

Abstract
This paper presents a new method for generating nonphotorealistic (NPR) facial expression animations. The method consists of two main processing parts. First, a particular NPR style portrait is created from a frontal facial photograph. Facial expressive details, like: expressive wrinkles,fine creases, even freckles, can be included in the synthesized portrait, which makes it more expressive. Second, with two different facial expression portraits, a metamorphing algorithm using distance transform is utilized to produce the 2D animation. Our morphing process is fully automated, no control point or any manual work is required. Finally, a continuous facial expression animation is produced. The resulted animation is useful in a number of potential applications, ranging from entertainment and education to teleconferencing and psychology research.

BibTeX code
@inproceedings{Luo:2006:NEL,
  opteditor = {},
  optpostscript = {},
  optorganization = {},
  author = {Yuan Luo and Marina L. Gavrilova and Costa Sousa, Mario},
  optkey = {},
  optannote = {},
  optseries = {},
  address = IEEEAdr,
  localfile = {papers/Luo.2006.NEL.pdf},
  optisbn = {},
  publisher = IEEEPub,
  optkeywords = {},
  doi = {http://dx.doi.org/10.1109/CGIV.2006.66},
  optmonth = {},
  optciteseer = {},
  opturl = {},
  optcrossref = {},
  optwww = {},
  booktitle = {Proceedings of the International Conference on Computer Graphics,
               Imaging and Visualisation (CGIV 2006, July 26--28, 2006, Sydney,
               Australia)},
  optvolume = {},
  optnumber = {},
  abstract = {This paper presents a new method for generating nonphotorealistic
              (NPR) facial expression animations. The method consists of two
              main processing parts. First, a particular NPR style portrait is
              created from a frontal facial photograph. Facial expressive
              details, like: expressive wrinkles,fine creases, even freckles,
              can be included in the synthesized portrait, which makes it more
              expressive. Second, with two different facial expression
              portraits, a metamorphing algorithm using distance transform is
              utilized to produce the 2D animation. Our morphing process is
              fully automated, no control point or any manual work is required.
              Finally, a continuous facial expression animation is produced. The
              resulted animation is useful in a number of potential
              applications, ranging from entertainment and education to
              teleconferencing and psychology research.},
  title = {{NPAR} by {E}xample: {L}ine {D}rawing {F}acial {A}nimation from
           {P}hotographs},
  year = {2006},
  pages = {514--521},
}

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