/*
* GenerateBezier :
* Use least-squares method to find Bezier control points for region.
*
*/
static BezierCurve GenerateBezier(Point2 *d, int first, int last, double *uPrime,
Vector2 tHat1, Vector2 tHat2)
{
int i;
Vector2 A[MAXPOINTS][2]; /* Precomputed rhs for eqn */
int nPts; /* Number of pts in sub-curve */
double C[2][2]; /* Matrix C */
double X[2]; /* Matrix X */
double det_C0_C1, /* Determinants of matrices */
det_C0_X,
det_X_C1;
double alpha_l, /* Alpha values, left and right */
alpha_r;
Vector2 tmp; /* Utility variable */
BezierCurve bezCurve; /* RETURN bezier curve ctl pts */
bezCurve = (Point2 *)malloc(4 * sizeof(Point2));
nPts = last - first + 1;
/* Compute the A's */
for (i = 0; i < nPts; i++) {
Vector2 v1, v2;
v1 = tHat1;
v2 = tHat2;
V2Scale(&v1, B1(uPrime[i]));
V2Scale(&v2, B2(uPrime[i]));
A[i][0] = v1;
A[i][1] = v2;
}
/* Create the C and X matrices */
C[0][0] = 0.0;
C[0][1] = 0.0;
C[1][0] = 0.0;
C[1][1] = 0.0;
X[0] = 0.0;
X[1] = 0.0;
for (i = 0; i < nPts; i++) {
C[0][0] += V2Dot(&A[i][0], &A[i][0]);
C[0][1] += V2Dot(&A[i][0], &A[i][1]);
/* C[1][0] += V2Dot(&A[i][0], &A[i][1]);*/
C[1][0] = C[0][1];
C[1][1] += V2Dot(&A[i][1], &A[i][1]);
tmp = V2SubII(d[first + i],
V2AddII(
V2ScaleIII(d[first], B0(uPrime[i])),
V2AddII(
V2ScaleIII(d[first], B1(uPrime[i])),
V2AddII(
V2ScaleIII(d[last], B2(uPrime[i])),
V2ScaleIII(d[last], B3(uPrime[i]))))));
X[0] += V2Dot(&A[i][0], &tmp);
X[1] += V2Dot(&A[i][1], &tmp);
}
/* Compute the determinants of C and X */
det_C0_C1 = C[0][0] * C[1][1] - C[1][0] * C[0][1];
det_C0_X = C[0][0] * X[1] - C[1][0] * X[0];
det_X_C1 = X[0] * C[1][1] - X[1] * C[0][1];
/* Finally, derive alpha values */
alpha_l = (det_C0_C1 < ZERO_TOLERANCE) ? 0.0 : det_X_C1 / det_C0_C1;
alpha_r = (det_C0_C1 < ZERO_TOLERANCE) ? 0.0 : det_C0_X / det_C0_C1;
/* If alpha negative, use the Wu/Barsky heuristic (see text) */
/* (if alpha is 0, you get coincident control points that lead to
* divide by zero in any subsequent NewtonRaphsonRootFind() call. */
double segLength = V2DistanceBetween2Points(&d[last], &d[first]);
double epsilon = 1.0e-6 * segLength;
if (alpha_l < epsilon || alpha_r < epsilon)
{
/* fall back on standard (probably inaccurate) formula, and subdivide further if needed. */
double dist = segLength / 3.0;
bezCurve[0] = d[first];
bezCurve[3] = d[last];
V2Add(&bezCurve[0], V2Scale(&tHat1, dist), &bezCurve[1]);
V2Add(&bezCurve[3], V2Scale(&tHat2, dist), &bezCurve[2]);
return (bezCurve);
}
/* First and last control points of the Bezier curve are */
/* positioned exactly at the first and last data points */
/* Control points 1 and 2 are positioned an alpha distance out */
/* on the tangent vectors, left and right, respectively */
bezCurve[0] = d[first];
bezCurve[3] = d[last];
V2Add(&bezCurve[0], V2Scale(&tHat1, alpha_l), &bezCurve[1]);
V2Add(&bezCurve[3], V2Scale(&tHat2, alpha_r), &bezCurve[2]);
return (bezCurve);
}
/*
* GenerateBezier :
* Use least-squares method to find Bezier control points for region.
*
*/
static BezierCurve GenerateBezier(
Point2 *d, /* Array of digitized points */
int first, int last, /* Indices defining region */
double *uPrime, /* Parameter values for region */
Vector2 tHat1, Vector2 tHat2) /* Unit tangents at endpoints */
{
int i;
// Vector2 A[MAXPOINTS][2]; /* Precomputed rhs for eqn */
int nPts; /* Number of pts in sub-curve */
double C[2][2]; /* Matrix C */
double X[2]; /* Matrix X */
double det_C0_C1, /* Determinants of matrices */
det_C0_X,
det_X_C1;
double alpha_l, /* Alpha values, left and right */
alpha_r;
Vector2 tmp; /* Utility variable */
BezierCurve bezCurve; /* RETURN bezier curve ctl pts */
bezCurve = (Point2 *)malloc(4 * sizeof(Point2));
nPts = last - first + 1;
Vector2 (*A)[2];
A = new Vector2[nPts][2]; /* Precomputed rhs for eqn */
/* Compute the A's */
for (i = 0; i < nPts; i++) {
Vector2 v1, v2;
v1 = tHat1;
v2 = tHat2;
V2Scale(&v1, B1(uPrime[i]));
V2Scale(&v2, B2(uPrime[i]));
A[i][0] = v1;
A[i][1] = v2;
}
/* Create the C and X matrices */
C[0][0] = 0.0;
C[0][1] = 0.0;
C[1][0] = 0.0;
C[1][1] = 0.0;
X[0] = 0.0;
X[1] = 0.0;
for (i = 0; i < nPts; i++) {
C[0][0] += V2Dot(&A[i][0], &A[i][0]);
C[0][1] += V2Dot(&A[i][0], &A[i][1]);
/* C[1][0] += V2Dot(&A[i][0], &A[i][1]);*/
C[1][0] = C[0][1];
C[1][1] += V2Dot(&A[i][1], &A[i][1]);
tmp = V2SubII(d[first + i],
V2AddII(
V2ScaleIII(d[first], B0(uPrime[i])),
V2AddII(
V2ScaleIII(d[first], B1(uPrime[i])),
V2AddII(
V2ScaleIII(d[last], B2(uPrime[i])),
V2ScaleIII(d[last], B3(uPrime[i]))))));
X[0] += V2Dot(&A[i][0], &tmp);
X[1] += V2Dot(&A[i][1], &tmp);
}
/* Compute the determinants of C and X */
det_C0_C1 = C[0][0] * C[1][1] - C[1][0] * C[0][1];
det_C0_X = C[0][0] * X[1] - C[0][1] * X[0];
det_X_C1 = X[0] * C[1][1] - X[1] * C[0][1];
/* Finally, derive alpha values */
if (det_C0_C1 == 0.0) {
det_C0_C1 = (C[0][0] * C[1][1]) * 10e-12;
}
alpha_l = det_X_C1 / det_C0_C1;
alpha_r = det_C0_X / det_C0_C1;
/* If alpha negative, use the Wu/Barsky heuristic (see text) */
if (alpha_l < 0.0 || alpha_r < 0.0) {
double dist = V2DistanceBetween2Points(&d[last], &d[first]) /
3.0;
bezCurve[0] = d[first];
bezCurve[3] = d[last];
V2Add(&bezCurve[0], V2Scale(&tHat1, dist), &bezCurve[1]);
V2Add(&bezCurve[3], V2Scale(&tHat2, dist), &bezCurve[2]);
delete[] A;
return (bezCurve);
}
/* First and last control points of the Bezier curve are */
/* positioned exactly at the first and last data points */
/* Control points 1 and 2 are positioned an alpha distance out */
/* on the tangent vectors, left and right, respectively */
bezCurve[0] = d[first];
bezCurve[3] = d[last];
V2Add(&bezCurve[0], V2Scale(&tHat1, alpha_l), &bezCurve[1]);
V2Add(&bezCurve[3], V2Scale(&tHat2, alpha_r), &bezCurve[2]);
delete[] A;
return (bezCurve);
}