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8.2.1 Gaussian curvature
To formulate the governing equations for computing the stationary
points of Gaussian curvature
within the domain, we substitute
(3.46) into (8.29) which yields
[255]
(8.35)
where
(8.36)
(8.37)
(8.38)
(8.39)
Polynomial
and its partial
derivatives are given by
(8.40)
where
(8.41)
(8.42)
(8.43)
and
(8.44)
As
, (8.35) are satisfied if
(8.45)
which are two simultaneous bivariate polynomial equations of
degree
,
in
and
,
respectively. For example, if the input surface is a bicubic Bézier
patch, the degrees of the two simultaneous bivariate polynomial
equations become (23, 24) and (24, 23) in
and
. System
(8.45) can be solved robustly with the IPP algorithm
described in Chap. 4 (see [255] for
details).
The stationary points along the four boundary edges are easily obtained by
solving the four univariate polynomial equations,
(8.46)
(8.47)
using the IPP algorithm
described in Chap. 4 (see [255] for
details).
Example 8.2.1.
A hyperbolic paraboloid
,
(bilinear surface), illustrated in Fig.
3.4, can be expressed in a Bézier form as
where
,
,
and
.
The first and second fundamental form coefficients are readily
computed using (3.63) (3.64) (3.65)
Thus the Gaussian curvature is given by
The Gaussian curvature is always negative and
hence all the points are hyperbolic.
The stationary points within the parameter domain are given by finding
the roots of
.
Since
and from (8.40) through (8.43)
and from (8.38) and (8.39)
hence we have
Thus the stationary point within the domain is given by
,
which coincides with one of the corner points of the bilinear surface
patch. Using Theorem
7.3.1, we find that
is a minimum.
At the remaining of corner points of the patch, we can readily compute
Stationary points along parameter domain boundaries are obtained by
solving the following four univariate equations
The roots are
,
,
and
, thus they coincide with
the corner points
,
,
and
.
Therefore, the range of the Gaussian curvature is
.
Next: 8.2.2 Mean curvature
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December 2009