本文整理汇总了C++中WOEdge::twin方法的典型用法代码示例。如果您正苦于以下问题:C++ WOEdge::twin方法的具体用法?C++ WOEdge::twin怎么用?C++ WOEdge::twin使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类WOEdge
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在下文中一共展示了WOEdge::twin方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: gts_vertex_principal_directions
//.........这里部分代码省略.........
/* We are solving for the values of the curvature tensor
* B = [ a b ; b c ].
* The computations here are from section 5 of [Meyer et al 2002].
*
* The first step is to calculate the linear equations governing the values of (a,b,c). These can be computed
* by setting the derivatives of the error E to zero (section 5.3).
*
* Since a + c = norm(Kh), we only compute the linear equations for dE/da and dE/db. (NB: [Meyer et al 2002]
* has the equation a + b = norm(Kh), but I'm almost positive this is incorrect).
*
* Note that the w_ij (defined in section 5.2) are all scaled by (1/8*A_mixed). We drop this uniform scale
* factor because the solution of the linear equations doesn't rely on it.
*
* The terms of the linear equations are xterm_dy with x in {a,b,c} and y in {a,b}. There are also const_dy
* terms that are the constant factors in the equations.
*/
/* find the vector from v along edge e */
vec_edge = Vec3r(-1 * e->GetVec());
ve2 = vec_edge.squareNorm();
vdotN = vec_edge * N;
/* section 5.2 - There is a typo in the computation of kappa. The edges should be x_j-x_i. */
kappa = 2.0 * vdotN / ve2;
/* section 5.2 */
/* I don't like performing a minimization where some of the weights can be negative (as can be the case
* if f1 or f2 are obtuse). To ensure all-positive weights, we check for obtuseness. */
weight = 0.0;
if (!triangle_obtuse(v, f1)) {
weight += ve2 * cotan(f1->GetNextOEdge(e->twin())->GetbVertex(), e->GetaVertex(), e->GetbVertex()) / 8.0;
}
else {
if (angle_obtuse(v, f1)) {
weight += ve2 * f1->getArea() / 4.0;
}
else {
weight += ve2 * f1->getArea() / 8.0;
}
}
if (!triangle_obtuse(v, f2)) {
weight += ve2 * cotan (f2->GetNextOEdge(e)->GetbVertex(), e->GetaVertex(), e->GetbVertex()) / 8.0;
}
else {
if (angle_obtuse(v, f2)) {
weight += ve2 * f1->getArea() / 4.0;
}
else {
weight += ve2 * f1->getArea() / 8.0;
}
}
/* projection of edge perpendicular to N (section 5.3) */
d[0] = vec_edge[0] - vdotN * N[0];
d[1] = vec_edge[1] - vdotN * N[1];
d[2] = vec_edge[2] - vdotN * N[2];
d.normalize();
/* not explicit in the paper, but necessary. Move d to 2D basis. */
d1 = d * basis1;
d2 = d * basis2;