Title page for etd-0725101-003454


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URN etd-0725101-003454
Author Chiao-Wen Young
Author's Email Address youngcw@cse.nsysu.edu.tw
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Department Computer Science and Engineering
Year 2000
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Cartoon Character Animation Using Human Facial Feature Transformation
Date of Defense 2001-07-10
Page Count 87
Keyword
  • feature transformation
  • cartoon animation
  • 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.
    Advisory Committee
  • Jung-jae Chao - chair
  • Innchyn Her - co-chair
  • Yun-Lung Chang - co-chair
  • John Y. Chiang - advisor
  • Files
  • etd-0725101-003454.pdf
  • indicate in-campus access only
    Date of Submission 2001-07-25

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