SMILKeySpline.cpp (3910B)
1 /* -*- Mode: C++; tab-width: 8; indent-tabs-mode: nil; c-basic-offset: 2 -*- */ 2 /* vim: set ts=8 sts=2 et sw=2 tw=80: */ 3 /* This Source Code Form is subject to the terms of the Mozilla Public 4 * License, v. 2.0. If a copy of the MPL was not distributed with this 5 * file, You can obtain one at http://mozilla.org/MPL/2.0/. */ 6 7 #include "SMILKeySpline.h" 8 9 #include <math.h> 10 #include <stdint.h> 11 12 namespace mozilla { 13 14 #define NEWTON_ITERATIONS 4 15 #define NEWTON_MIN_SLOPE 0.02 16 #define SUBDIVISION_PRECISION 0.0000001 17 #define SUBDIVISION_MAX_ITERATIONS 10 18 19 const double SMILKeySpline::kSampleStepSize = 20 1.0 / double(kSplineTableSize - 1); 21 22 void SMILKeySpline::Init(double aX1, double aY1, double aX2, double aY2) { 23 mX1 = aX1; 24 mY1 = aY1; 25 mX2 = aX2; 26 mY2 = aY2; 27 28 if (mX1 != mY1 || mX2 != mY2) CalcSampleValues(); 29 } 30 31 double SMILKeySpline::GetSplineValue(double aX) const { 32 if (mX1 == mY1 && mX2 == mY2) return aX; 33 34 return CalcBezier(GetTForX(aX), mY1, mY2); 35 } 36 37 void SMILKeySpline::GetSplineDerivativeValues(double aX, double& aDX, 38 double& aDY) const { 39 double t = GetTForX(aX); 40 aDX = GetSlope(t, mX1, mX2); 41 aDY = GetSlope(t, mY1, mY2); 42 } 43 44 void SMILKeySpline::CalcSampleValues() { 45 for (uint32_t i = 0; i < kSplineTableSize; ++i) { 46 mSampleValues[i] = CalcBezier(double(i) * kSampleStepSize, mX1, mX2); 47 } 48 } 49 50 /*static*/ 51 double SMILKeySpline::CalcBezier(double aT, double aA1, double aA2) { 52 // use Horner's scheme to evaluate the Bezier polynomial 53 return ((A(aA1, aA2) * aT + B(aA1, aA2)) * aT + C(aA1)) * aT; 54 } 55 56 /*static*/ 57 double SMILKeySpline::GetSlope(double aT, double aA1, double aA2) { 58 return 3.0 * A(aA1, aA2) * aT * aT + 2.0 * B(aA1, aA2) * aT + C(aA1); 59 } 60 61 double SMILKeySpline::GetTForX(double aX) const { 62 // Early return when aX == 1.0 to avoid floating-point inaccuracies. 63 if (aX == 1.0) { 64 return 1.0; 65 } 66 // Find interval where t lies 67 double intervalStart = 0.0; 68 const double* currentSample = &mSampleValues[1]; 69 const double* const lastSample = &mSampleValues[kSplineTableSize - 1]; 70 for (; currentSample != lastSample && *currentSample <= aX; ++currentSample) { 71 intervalStart += kSampleStepSize; 72 } 73 --currentSample; // t now lies between *currentSample and *currentSample+1 74 75 // Interpolate to provide an initial guess for t 76 double dist = (aX - *currentSample) / (*(currentSample + 1) - *currentSample); 77 double guessForT = intervalStart + dist * kSampleStepSize; 78 79 // Check the slope to see what strategy to use. If the slope is too small 80 // Newton-Raphson iteration won't converge on a root so we use bisection 81 // instead. 82 double initialSlope = GetSlope(guessForT, mX1, mX2); 83 if (initialSlope >= NEWTON_MIN_SLOPE) { 84 return NewtonRaphsonIterate(aX, guessForT); 85 } 86 if (initialSlope == 0.0) { 87 return guessForT; 88 } 89 return BinarySubdivide(aX, intervalStart, intervalStart + kSampleStepSize); 90 } 91 92 double SMILKeySpline::NewtonRaphsonIterate(double aX, double aGuessT) const { 93 // Refine guess with Newton-Raphson iteration 94 for (uint32_t i = 0; i < NEWTON_ITERATIONS; ++i) { 95 // We're trying to find where f(t) = aX, 96 // so we're actually looking for a root for: CalcBezier(t) - aX 97 double currentX = CalcBezier(aGuessT, mX1, mX2) - aX; 98 double currentSlope = GetSlope(aGuessT, mX1, mX2); 99 100 if (currentSlope == 0.0) return aGuessT; 101 102 aGuessT -= currentX / currentSlope; 103 } 104 105 return aGuessT; 106 } 107 108 double SMILKeySpline::BinarySubdivide(double aX, double aA, double aB) const { 109 double currentX; 110 double currentT; 111 uint32_t i = 0; 112 113 do { 114 currentT = aA + (aB - aA) / 2.0; 115 currentX = CalcBezier(currentT, mX1, mX2) - aX; 116 117 if (currentX > 0.0) { 118 aB = currentT; 119 } else { 120 aA = currentT; 121 } 122 } while (fabs(currentX) > SUBDIVISION_PRECISION && 123 ++i < SUBDIVISION_MAX_ITERATIONS); 124 125 return currentT; 126 } 127 128 } // namespace mozilla