curve - Curva Catmull-rom sin cúspides y sin autointersecciones

catmull-rom-curve

Question

Tengo el siguiente código para calcular puntos entre cuatro puntos de control para generar una curva catmull-rom:

CGPoint interpolatedPosition(CGPoint p0, CGPoint p1, CGPoint p2, CGPoint p3, float t)
{
float t3 = t * t * t;
float t2 = t * t;
float f1 = -0.5 * t3 + t2 - 0.5 * t;
float f2 = 1.5 * t3 - 2.5 * t2 + 1.0;
float f3 = -1.5 * t3 + 2.0 * t2 + 0.5 * t;
float f4 = 0.5 * t3 - 0.5 * t2;
float x = p0.x * f1 + p1.x * f2 + p2.x * f3 + p3.x * f4;
float y = p0.y * f1 + p1.y * f2 + p2.y * f3 + p3.y * f4;
return CGPointMake(x, y);
}

Esto funciona bien, pero quiero crear algo que creo que se llama parametrización centrípeta. Esto significa que la curva no tendrá cúspides ni autointersecciones. Si muevo un punto de control muy cerca de otro, la curva se volverá "más pequeña". He buscado en Google mis ojos tratando de encontrar una manera de hacer esto. Alguien sabe cómo hacer esto?

Answer 1

Aquí hay una versión de iOS del código de Ted. Excluí las partes ''z''.

.h

typedef enum {
CatmullRomTypeUniform,
CatmullRomTypeChordal,
CatmullRomTypeCentripetal
} CatmullRomType ;

.metro

-(NSMutableArray *)interpolate:(NSArray *)coordinates withPointsPerSegment:(NSInteger)pointsPerSegment andType:(CatmullRomType)curveType {
NSMutableArray *vertices = [[NSMutableArray alloc] initWithArray:coordinates copyItems:YES];
if (pointsPerSegment < 3)
return vertices;
//start point
CGPoint pt1 = [vertices[0] CGPointValue];
CGPoint pt2 = [vertices[1] CGPointValue];
double dx = pt2.x - pt1.x;
double dy = pt2.y - pt1.y;
double x1 = pt1.x - dx;
double y1 = pt1.y - dy;
CGPoint start = CGPointMake(x1*.5, y1);
//end point
pt2 = [vertices[vertices.count-1] CGPointValue];
pt1 = [vertices[vertices.count-2] CGPointValue];
dx = pt2.x - pt1.x;
dy = pt2.y - pt1.y;
x1 = pt2.x + dx;
y1 = pt2.y + dy;
CGPoint end = CGPointMake(x1, y1);
[vertices insertObject:[NSValue valueWithCGPoint:start] atIndex:0];
[vertices addObject:[NSValue valueWithCGPoint:end]];
NSMutableArray *result = [[NSMutableArray alloc] init];
for (int i = 0; i < vertices.count - 3; i++) {
NSMutableArray *points = [self interpolate:vertices forIndex:i withPointsPerSegment:pointsPerSegment andType:curveType];
if ([points count] > 0)
[points removeObjectAtIndex:0];
[result addObjectsFromArray:points];
}
return result;
}
-(double)interpolate:(double*)p time:(double*)time t:(double) t {
double L01 = p[0] * (time[1] - t) / (time[1] - time[0]) + p[1] * (t - time[0]) / (time[1] - time[0]);
double L12 = p[1] * (time[2] - t) / (time[2] - time[1]) + p[2] * (t - time[1]) / (time[2] - time[1]);
double L23 = p[2] * (time[3] - t) / (time[3] - time[2]) + p[3] * (t - time[2]) / (time[3] - time[2]);
double L012 = L01 * (time[2] - t) / (time[2] - time[0]) + L12 * (t - time[0]) / (time[2] - time[0]);
double L123 = L12 * (time[3] - t) / (time[3] - time[1]) + L23 * (t - time[1]) / (time[3] - time[1]);
double C12 = L012 * (time[2] - t) / (time[2] - time[1]) + L123 * (t - time[1]) / (time[2] - time[1]);
return C12;
}
-(NSMutableArray*)interpolate:(NSArray *)points forIndex:(NSInteger)index withPointsPerSegment:(NSInteger)pointsPerSegment andType:(CatmullRomType)curveType {
NSMutableArray *result = [[NSMutableArray alloc] init];
double x[4];
double y[4];
double time[4];
for (int i=0; i < 4; i++) {
x[i] = [points[index+i] CGPointValue].x;
y[i] = [points[index+i] CGPointValue].y;
time[i] = i;
}
double tstart = 1;
double tend = 2;
if (curveType != CatmullRomTypeUniform) {
double total = 0;
for (int i=1; i < 4; i++) {
double dx = x[i] - x[i-1];
double dy = y[i] - y[i-1];
if (curveType == CatmullRomTypeCentripetal) {
total += pow(dx * dx + dy * dy, 0.25);
}
else {
total += pow(dx * dx + dy * dy, 0.5); //sqrt
}
time[i] = total;
}
tstart = time[1];
tend = time[2];
}
int segments = pointsPerSegment - 1;
[result addObject:points[index+1]];
for (int i =1; i < segments; i++) {
double xi = [self interpolate:x time:time t:tstart + (i * (tend - tstart)) / segments];
double yi = [self interpolate:y time:time t:tstart + (i * (tend - tstart)) / segments];
NSLog(@"(%f,%f)",xi,yi);
[result addObject:[NSValue valueWithCGPoint:CGPointMake(xi, yi)]];
}
[result addObject:points[index+2]];
return result;
}

Además, aquí hay un método para convertir una matriz de puntos en una ruta de Bezier para dibujar, usando lo anterior

-(UIBezierPath*)bezierPathFromPoints:(NSArray *)points withGranulaity:(NSInteger)granularity
{
UIBezierPath __block *path = [[UIBezierPath alloc] init];
NSMutableArray *curve = [self interpolate:points withPointsPerSegment:granularity andType:CatmullRomTypeCentripetal];
CGPoint __block p0 = [curve[0] CGPointValue];
[path moveToPoint:p0];
//use this loop to draw lines between all points
for (int idx=1; idx < [curve count]; idx+=1) {
CGPoint c1 = [curve[idx] CGPointValue];
[path addLineToPoint:c1];
};
//or use this loop to use actual control points (less smooth but probably faster)
// for (int idx=0; idx < [curve count]-3; idx+=3) {
// CGPoint c1 = [curve[idx+1] CGPointValue];
// CGPoint c2 = [curve[idx+2] CGPointValue];
// CGPoint p1 = [curve[idx+3] CGPointValue];
//
// [path addCurveToPoint:p1 controlPoint1:c1 controlPoint2:c2];
// };
return path;
}

Answer 2

Codifiqué algo en Python (página adaptada de la Wikipedia de Catmull-Rom) que compara Splines CR uniformes, centrípedos y cordiales (aunque puedes establecer alfa a lo que quieras) usando datos aleatorios (puedes usar tus propios datos y las funciones) trabaja bien). Tenga en cuenta que para los puntos finales simplemente me quedé atrapado en un ''hack'' rápido que mantiene la pendiente desde el primero y el último 2 puntos, aunque la distancia entre este punto y el primer / punto conocido perdido es arbitraria (lo configuré al 1% del dominio ... sin ninguna razón. Así que tenlo en cuenta antes de aplicar a algo importante):

# coding: utf-8
# In[1]:
import numpy
import matplotlib.pyplot as plt
get_ipython().magic(u''pylab inline'')
# In[2]:
def CatmullRomSpline(P0, P1, P2, P3, a, nPoints=100):
"""
P0, P1, P2, and P3 should be (x,y) point pairs that define the Catmull-Rom spline.
nPoints is the number of points to include in this curve segment.
"""
# Convert the points to numpy so that we can do array multiplication
P0, P1, P2, P3 = map(numpy.array, [P0, P1, P2, P3])
# Calculate t0 to t4
alpha = a
def tj(ti, Pi, Pj):
xi, yi = Pi
xj, yj = Pj
return ( ( (xj-xi)**2 + (yj-yi)**2 )**0.5 )**alpha + ti
t0 = 0
t1 = tj(t0, P0, P1)
t2 = tj(t1, P1, P2)
t3 = tj(t2, P2, P3)
# Only calculate points between P1 and P2
t = numpy.linspace(t1,t2,nPoints)
# Reshape so that we can multiply by the points P0 to P3
# and get a point for each value of t.
t = t.reshape(len(t),1)
A1 = (t1-t)/(t1-t0)*P0 + (t-t0)/(t1-t0)*P1
A2 = (t2-t)/(t2-t1)*P1 + (t-t1)/(t2-t1)*P2
A3 = (t3-t)/(t3-t2)*P2 + (t-t2)/(t3-t2)*P3
B1 = (t2-t)/(t2-t0)*A1 + (t-t0)/(t2-t0)*A2
B2 = (t3-t)/(t3-t1)*A2 + (t-t1)/(t3-t1)*A3
C = (t2-t)/(t2-t1)*B1 + (t-t1)/(t2-t1)*B2
return C
def CatmullRomChain(P,alpha):
"""
Calculate Catmull Rom for a chain of points and return the combined curve.
"""
sz = len(P)
# The curve C will contain an array of (x,y) points.
C = []
for i in range(sz-3):
c = CatmullRomSpline(P[i], P[i+1], P[i+2], P[i+3],alpha)
C.extend(c)
return C
# In[8]:
# Define a set of points for curve to go through
Points = numpy.random.rand(12,2)
x1=Points[0][0]
x2=Points[1][0]
y1=Points[0][1]
y2=Points[1][1]
x3=Points[-2][0]
x4=Points[-1][0]
y3=Points[-2][1]
y4=Points[-1][1]
dom=max(Points[:,0])-min(Points[:,0])
rng=max(Points[:,1])-min(Points[:,1])
prex=x1+sign(x1-x2)*dom*0.01
prey=(y1-y2)/(x1-x2)*dom*0.01+y1
endx=x4+sign(x4-x3)*dom*0.01
endy=(y4-y3)/(x4-x3)*dom*0.01+y4
print len(Points)
Points=list(Points)
Points.insert(0,array([prex,prey]))
Points.append(array([endx,endy]))
print len(Points)
# In[9]:
#Define alpha
a=0.
# Calculate the Catmull-Rom splines through the points
c = CatmullRomChain(Points,a)
# Convert the Catmull-Rom curve points into x and y arrays and plot
x,y = zip(*c)
plt.plot(x,y,c=''green'',zorder=10)
# Plot the control points
px, py = zip(*Points)
plt.plot(px,py,''or'')
a=0.5
c = CatmullRomChain(Points,a)
x,y = zip(*c)
plt.plot(x,y,c=''blue'')
a=1.
c = CatmullRomChain(Points,a)
x,y = zip(*c)
plt.plot(x,y,c=''red'')
plt.grid(b=True)
plt.show()
# In[10]:
Points
# In[ ]:

código original: https://en.wikipedia.org/wiki/Centripetal_Catmull%E2%80%93Rom_spline

Answer 3

Hay una manera mucho más fácil y más eficiente de implementar esto que solo requiere que calcules tus tangentes usando una fórmula diferente, sin la necesidad de implementar el algoritmo de evaluación recursiva de Barry y Goldman.

Si toma la parametrización de Barry-Goldman (referenciada en la respuesta de Ted) C (t) para los nudos (t0, t1, t2, t3) y los puntos de control (P0, P1, P2, P3), su forma cerrada es bastante complicada , pero al final sigue siendo un polinomio cúbico en t cuando lo restringe al intervalo (t1, t2). Entonces, todo lo que necesitamos para describirlo completamente son los valores y las tangentes en los dos puntos finales t1 y t2. Si trabajamos estos valores (lo hice en Mathematica), encontramos

C(t1) = P1
C(t2) = P2
C''(t1) = (P1 - P0) / (t1 - t0) - (P2 - P0) / (t2 - t0) + (P2 - P1) / (t2 - t1)
C''(t2) = (P2 - P1) / (t2 - t1) - (P3 - P1) / (t3 - t1) + (P3 - P2) / (t3 - t2)

Simplemente podemos conectar esto en la fórmula estándar para calcular una spline cúbica con valores dados y tangentes en los puntos finales y tenemos nuestra spline no uniforme Catmull-Rom. Una advertencia es que las tangentes anteriores se calculan para el intervalo (t1, t2), por lo que si desea evaluar la curva en el intervalo estándar (0,1), simplemente cambie la escala de las tangentes multiplicándolas por el factor (t2-t1 )

Puse un ejemplo de C ++ en funcionamiento en Ideone: http://ideone.com/NoEbVM

También pegaré el código a continuación.

#include <iostream>
#include <cmath>
using namespace std;
struct CubicPoly
{
float c0, c1, c2, c3;
float eval(float t)
{
float t2 = t*t;
float t3 = t2 * t;
return c0 + c1*t + c2*t2 + c3*t3;
}
};
/*
* Compute coefficients for a cubic polynomial
* p(s) = c0 + c1*s + c2*s^2 + c3*s^3
* such that
* p(0) = x0, p(1) = x1
* and
* p''(0) = t0, p''(1) = t1.
*/
void InitCubicPoly(float x0, float x1, float t0, float t1, CubicPoly &p)
{
p.c0 = x0;
p.c1 = t0;
p.c2 = -3*x0 + 3*x1 - 2*t0 - t1;
p.c3 = 2*x0 - 2*x1 + t0 + t1;
}
// standard Catmull-Rom spline: interpolate between x1 and x2 with previous/following points x0/x3
// (we don''t need this here, but it''s for illustration)
void InitCatmullRom(float x0, float x1, float x2, float x3, CubicPoly &p)
{
// Catmull-Rom with tension 0.5
InitCubicPoly(x1, x2, 0.5f*(x2-x0), 0.5f*(x3-x1), p);
}
// compute coefficients for a nonuniform Catmull-Rom spline
void InitNonuniformCatmullRom(float x0, float x1, float x2, float x3, float dt0, float dt1, float dt2, CubicPoly &p)
{
// compute tangents when parameterized in [t1,t2]
float t1 = (x1 - x0) / dt0 - (x2 - x0) / (dt0 + dt1) + (x2 - x1) / dt1;
float t2 = (x2 - x1) / dt1 - (x3 - x1) / (dt1 + dt2) + (x3 - x2) / dt2;
// rescale tangents for parametrization in [0,1]
t1 *= dt1;
t2 *= dt1;
InitCubicPoly(x1, x2, t1, t2, p);
}
struct Vec2D
{
Vec2D(float _x, float _y) : x(_x), y(_y) {}
float x, y;
};
float VecDistSquared(const Vec2D& p, const Vec2D& q)
{
float dx = q.x - p.x;
float dy = q.y - p.y;
return dx*dx + dy*dy;
}
void InitCentripetalCR(const Vec2D& p0, const Vec2D& p1, const Vec2D& p2, const Vec2D& p3,
CubicPoly &px, CubicPoly &py)
{
float dt0 = powf(VecDistSquared(p0, p1), 0.25f);
float dt1 = powf(VecDistSquared(p1, p2), 0.25f);
float dt2 = powf(VecDistSquared(p2, p3), 0.25f);
// safety check for repeated points
if (dt1 < 1e-4f) dt1 = 1.0f;
if (dt0 < 1e-4f) dt0 = dt1;
if (dt2 < 1e-4f) dt2 = dt1;
InitNonuniformCatmullRom(p0.x, p1.x, p2.x, p3.x, dt0, dt1, dt2, px);
InitNonuniformCatmullRom(p0.y, p1.y, p2.y, p3.y, dt0, dt1, dt2, py);
}
int main()
{
Vec2D p0(0,0), p1(1,1), p2(1.1,1), p3(2,0);
CubicPoly px, py;
InitCentripetalCR(p0, p1, p2, p3, px, py);
for (int i = 0; i <= 10; ++i)
cout << px.eval(0.1f*i) << " " << py.eval(0.1f*i) << endl;
}

Answer 4

Necesitaba implementar esto para el trabajo también. El concepto fundamental con el que debe comenzar es que la principal diferencia entre la implementación regular de Catmull-Rom y las versiones modificadas es cómo tratan el tiempo.

En la versión no parametrizada de su implementación original Catmull-Rom, t comienza en 0 y termina en 1 y calcula la curva de P1 a P2. En la implementación de tiempo parametrizado, t comienza con 0 en P0 y sigue aumentando en los cuatro puntos. Entonces, en el caso uniforme, sería 1 en P1 y 2 en P2, y pasaría valores que van de 1 a 2 para su interpolación.

El caso de acordes muestra | Pi + 1 - P | a medida que el lapso de tiempo cambia. Esto solo significa que puede usar la distancia en línea recta entre los puntos de cada segmento para calcular la longitud real a usar. El caso centrípeto solo usa un método ligeramente diferente para calcular el tiempo óptimo de uso para cada segmento.

Entonces, ahora solo necesitamos saber cómo crear ecuaciones que nos permitan conectar nuestros nuevos valores de tiempo. La típica ecuación de Catmull-Rom solo tiene una t en ella, el tiempo que está tratando de calcular un valor. Encontré el mejor artículo para describir cómo se calculan esos parámetros aquí: http://www.cemyuksel.com/research/catmullrom_param/catmullrom.pdf . Se estaban centrando en una evaluación matemática de las curvas, pero en ella radica la fórmula crucial de Barry y Goldman. (1)

En el diagrama de arriba, las flechas significan "multiplicado por" la proporción dada en la flecha.

Esto nos da lo que necesitamos para realizar un cálculo para obtener el resultado deseado. X e Y se calculan de forma independiente, aunque utilicé el factor "Distancia" para modificar el tiempo basado en la distancia 2D, y no en la distancia 1D.

Resultados de la prueba:

(1) PJ Barry y RN Goldman. Un algoritmo de evaluación recursivo para una clase de splines catmull-rom. SIGGRAPH Computer Graphics, 22 (4): 199 {204, 1988.

El código fuente para mi implementación final en Java se ve de la siguiente manera:

/**
* This method will calculate the Catmull-Rom interpolation curve, returning
* it as a list of Coord coordinate objects. This method in particular
* adds the first and last control points which are not visible, but required
* for calculating the spline.
*
* @param coordinates The list of original straight line points to calculate
* an interpolation from.
* @param pointsPerSegment The integer number of equally spaced points to
* return along each curve. The actual distance between each
* point will depend on the spacing between the control points.
* @return The list of interpolated coordinates.
* @param curveType Chordal (stiff), Uniform(floppy), or Centripetal(medium)
* @throws gov.ca.water.shapelite.analysis.CatmullRomException if
* pointsPerSegment is less than 2.
*/
public static List<Coord> interpolate(List<Coord> coordinates, int pointsPerSegment, CatmullRomType curveType)
throws CatmullRomException {
List<Coord> vertices = new ArrayList<>();
for (Coord c : coordinates) {
vertices.add(c.copy());
}
if (pointsPerSegment < 2) {
throw new CatmullRomException("The pointsPerSegment parameter must be greater than 2, since 2 points is just the linear segment.");
}
// Cannot interpolate curves given only two points. Two points
// is best represented as a simple line segment.
if (vertices.size() < 3) {
return vertices;
}
// Test whether the shape is open or closed by checking to see if
// the first point intersects with the last point. M and Z are ignored.
boolean isClosed = vertices.get(0).intersects2D(vertices.get(vertices.size() - 1));
if (isClosed) {
// Use the second and second from last points as control points.
// get the second point.
Coord p2 = vertices.get(1).copy();
// get the point before the last point
Coord pn1 = vertices.get(vertices.size() - 2).copy();
// insert the second from the last point as the first point in the list
// because when the shape is closed it keeps wrapping around to
// the second point.
vertices.add(0, pn1);
// add the second point to the end.
vertices.add(p2);
} else {
// The shape is open, so use control points that simply extend
// the first and last segments
// Get the change in x and y between the first and second coordinates.
double dx = vertices.get(1).X - vertices.get(0).X;
double dy = vertices.get(1).Y - vertices.get(0).Y;
// Then using the change, extrapolate backwards to find a control point.
double x1 = vertices.get(0).X - dx;
double y1 = vertices.get(0).Y - dy;
// Actaully create the start point from the extrapolated values.
Coord start = new Coord(x1, y1, vertices.get(0).Z);
// Repeat for the end control point.
int n = vertices.size() - 1;
dx = vertices.get(n).X - vertices.get(n - 1).X;
dy = vertices.get(n).Y - vertices.get(n - 1).Y;
double xn = vertices.get(n).X + dx;
double yn = vertices.get(n).Y + dy;
Coord end = new Coord(xn, yn);
// insert the start control point at the start of the vertices list.
vertices.add(0, start);
// append the end control ponit to the end of the vertices list.
vertices.add(end);
}
// Dimension a result list of coordinates.
List<Coord> result = new ArrayList<>();
// When looping, remember that each cycle requires 4 points, starting
// with i and ending with i+3. So we don''t loop through all the points.
for (int i = 0; i < vertices.size() - 3; i++) {
// Actually calculate the Catmull-Rom curve for one segment.
List<Coord> points = interpolate(vertices, i, pointsPerSegment, curveType);
// Since the middle points are added twice, once for each bordering
// segment, we only add the 0 index result point for the first
// segment. Otherwise we will have duplicate points.
if (result.size() > 0) {
points.remove(0);
}
// Add the coordinates for the segment to the result list.
result.addAll(points);
}
return result;
}
/**
* Given a list of control points, this will create a list of pointsPerSegment
* points spaced uniformly along the resulting Catmull-Rom curve.
*
* @param points The list of control points, leading and ending with a
* coordinate that is only used for controling the spline and is not visualized.
* @param index The index of control point p0, where p0, p1, p2, and p3 are
* used in order to create a curve between p1 and p2.
* @param pointsPerSegment The total number of uniformly spaced interpolated
* points to calculate for each segment. The larger this number, the
* smoother the resulting curve.
* @param curveType Clarifies whether the curve should use uniform, chordal
* or centripetal curve types. Uniform can produce loops, chordal can
* produce large distortions from the original lines, and centripetal is an
* optimal balance without spaces.
* @return the list of coordinates that define the CatmullRom curve
* between the points defined by index+1 and index+2.
*/
public static List<Coord> interpolate(List<Coord> points, int index, int pointsPerSegment, CatmullRomType curveType) {
List<Coord> result = new ArrayList<>();
double[] x = new double[4];
double[] y = new double[4];
double[] time = new double[4];
for (int i = 0; i < 4; i++) {
x[i] = points.get(index + i).X;
y[i] = points.get(index + i).Y;
time[i] = i;
}
double tstart = 1;
double tend = 2;
if (!curveType.equals(CatmullRomType.Uniform)) {
double total = 0;
for (int i = 1; i < 4; i++) {
double dx = x[i] - x[i - 1];
double dy = y[i] - y[i - 1];
if (curveType.equals(CatmullRomType.Centripetal)) {
total += Math.pow(dx * dx + dy * dy, .25);
} else {
total += Math.pow(dx * dx + dy * dy, .5);
}
time[i] = total;
}
tstart = time[1];
tend = time[2];
}
double z1 = 0.0;
double z2 = 0.0;
if (!Double.isNaN(points.get(index + 1).Z)) {
z1 = points.get(index + 1).Z;
}
if (!Double.isNaN(points.get(index + 2).Z)) {
z2 = points.get(index + 2).Z;
}
double dz = z2 - z1;
int segments = pointsPerSegment - 1;
result.add(points.get(index + 1));
for (int i = 1; i < segments; i++) {
double xi = interpolate(x, time, tstart + (i * (tend - tstart)) / segments);
double yi = interpolate(y, time, tstart + (i * (tend - tstart)) / segments);
double zi = z1 + (dz * i) / segments;
result.add(new Coord(xi, yi, zi));
}
result.add(points.get(index + 2));
return result;
}
/**
* Unlike the other implementation here, which uses the default "uniform"
* treatment of t, this computation is used to calculate the same values but
* introduces the ability to "parameterize" the t values used in the
* calculation. This is based on Figure 3 from
* http://www.cemyuksel.com/research/catmullrom_param/catmullrom.pdf
*
* @param p An array of double values of length 4, where interpolation
* occurs from p1 to p2.
* @param time An array of time measures of length 4, corresponding to each
* p value.
* @param t the actual interpolation ratio from 0 to 1 representing the
* position between p1 and p2 to interpolate the value.
* @return
*/
public static double interpolate(double[] p, double[] time, double t) {
double L01 = p[0] * (time[1] - t) / (time[1] - time[0]) + p[1] * (t - time[0]) / (time[1] - time[0]);
double L12 = p[1] * (time[2] - t) / (time[2] - time[1]) + p[2] * (t - time[1]) / (time[2] - time[1]);
double L23 = p[2] * (time[3] - t) / (time[3] - time[2]) + p[3] * (t - time[2]) / (time[3] - time[2]);
double L012 = L01 * (time[2] - t) / (time[2] - time[0]) + L12 * (t - time[0]) / (time[2] - time[0]);
double L123 = L12 * (time[3] - t) / (time[3] - time[1]) + L23 * (t - time[1]) / (time[3] - time[1]);
double C12 = L012 * (time[2] - t) / (time[2] - time[1]) + L123 * (t - time[1]) / (time[2] - time[1]);
return C12;
}