@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},
}
|