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[You01]  Cartoon Character Animation Using Human Facial Feature Transformation

Young:2001:CCA (Master's thesis)
Author(s)Young C.W.
Title« Cartoon Character Animation Using Human Facial Feature Transformation »
SchoolDepartment of Computer Science and Engineering, National Sun Yat-Sen University
Year2001
URLhttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0725101-003454
NoteIn Chinese

Abstract
NPR (Non-Photorealistic Rendering) is a new and quick-developed research topic in Image Processing. The main purpose of NPR is to generate sketching or comics, something different from photos, automatically by computer algorithms. Examples of such applications include pen-and-ink tree or watercolor. On the other hands, there is another technique called PR (Photorealistic Rendering). The goal of PR is to generate real objects by computer algorithms. The performance of a PR program depends on the realities of the objects generated by the PR program. Furthermore, NPR includes two modes: one is with Physical Model and the other is not. 1.With Physical Model: Researchers could write programs to simulate NPR by the properties of Physical Model. 2.Without Physical Model: Researchers could write programs to simulate NPR by their observations and deliberation. Our research belongs to the second one, NPR without Physical Model. In the efforts of artists, some common consensuses about human facial proportion are brought up gradually. Then, the common standards are produced. In our research, there are several steps. First, read an input human front photo and separate main features from face, include the maximal and minimal values of left and right eyebrows, left and right eyes, left and right ears, nose and mouth, in horizontal and vertical. Then quantify these facial features. Next, we would construct a standard model based on the facial feature standard in arts. Compare the values we obtain from input human front photo with the values in the standard model, then we could obtain a cartoon face model. At last, adjust and exaggerate features according to scale relations between features of input face front photo and standard model and the distance among facial features. Keys of facial features transformation in this step are enlarging, shrinking, closing and separating. In varied parts, like face form and hair form, we hope to extract some sample feature points and use Bezier Curve in Numerical Analysis to draw them. That is because that lines of cartoon, unlike real human face, are sketched very smoothly and colors are uniform in general. We also provide several roles, one four grids comic and one cartoon animation. Users could import results of programs to those test images or image sequence, then complete these comics or cartoons based on input human face front photos. By this research, we hope that we could reach the goal that makes everyone as a main character of comics or cartoons.

BibTeX code
@mastersthesis{Young:2001:CCA,
  month = jul,
  optaddress = {},
  optwww = {},
  author = {Chiao-Wen Young},
  optkey = {},
  optannote = {},
  note = {In Chinese},
  opttype = {},
  url = {http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0725101-003454},
  abstract = {NPR (Non-Photorealistic Rendering) is a new and quick-developed
              research topic in Image Processing. The main purpose of NPR is to
              generate sketching or comics, something different from photos,
              automatically by computer algorithms. Examples of such
              applications include pen-and-ink tree or watercolor. On the other
              hands, there is another technique called PR (Photorealistic
              Rendering). The goal of PR is to generate real objects by computer
              algorithms. The performance of a PR program depends on the
              realities of the objects generated by the PR program. Furthermore,
              NPR includes two modes: one is with Physical Model and the other
              is not. 1.With Physical Model: Researchers could write programs to
              simulate NPR by the properties of Physical Model. 2.Without
              Physical Model: Researchers could write programs to simulate NPR
              by their observations and deliberation. Our research belongs to
              the second one, NPR without Physical Model. In the efforts of
              artists, some common consensuses about human facial proportion are
              brought up gradually. Then, the common standards are produced. In
              our research, there are several steps. First, read an input human
              front photo and separate main features from face, include the
              maximal and minimal values of left and right eyebrows, left and
              right eyes, left and right ears, nose and mouth, in horizontal and
              vertical. Then quantify these facial features. Next, we would
              construct a standard model based on the facial feature standard in
              arts. Compare the values we obtain from input human front photo
              with the values in the standard model, then we could obtain a
              cartoon face model. At last, adjust and exaggerate features
              according to scale relations between features of input face front
              photo and standard model and the distance among facial features.
              Keys of facial features transformation in this step are enlarging,
              shrinking, closing and separating. In varied parts, like face form
              and hair form, we hope to extract some sample feature points and
              use Bezier Curve in Numerical Analysis to draw them. That is
              because that lines of cartoon, unlike real human face, are
              sketched very smoothly and colors are uniform in general. We also
              provide several roles, one four grids comic and one cartoon
              animation. Users could import results of programs to those test
              images or image sequence, then complete these comics or cartoons
              based on input human face front photos. By this research, we hope
              that we could reach the goal that makes everyone as a main
              character of comics or cartoons.},
  title = {{C}artoon {C}haracter {A}nimation {U}sing {H}uman {F}acial {F}eature
           {T}ransformation},
  school = {Department of Computer Science and Engineering, National Sun Yat-Sen
            University},
  localfile = {papers/Young.2001.CCA.pdf},
  year = {2001},
}

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