/************************************************************************* * * OpenOffice.org - a multi-platform office productivity suite * * $RCSfile: b2dbeziertools.cxx,v $ * * $Revision: 1.10 $ * * last change: $Author: hr $ $Date: 2006-06-20 03:43:00 $ * * The Contents of this file are made available subject to * the terms of GNU Lesser General Public License Version 2.1. * * * GNU Lesser General Public License Version 2.1 * ============================================= * Copyright 2005 by Sun Microsystems, Inc. * 901 San Antonio Road, Palo Alto, CA 94303, USA * * This library is free software; you can redistribute it and/or * modify it under the terms of the GNU Lesser General Public * License version 2.1, as published by the Free Software Foundation. * * This library is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * Lesser General Public License for more details. * * You should have received a copy of the GNU Lesser General Public * License along with this library; if not, write to the Free Software * Foundation, Inc., 59 Temple Place, Suite 330, Boston, * MA 02111-1307 USA * ************************************************************************/ #include #include #ifndef _USE_MATH_DEFINES #define _USE_MATH_DEFINES // needed by Visual C++ for math constants #endif #include // M_PI definition #ifndef _BGFX_CURVE_B2DCUBICBEZIER_HXX #include #endif #ifndef _BGFX_CURVE_B2DQUADRATICBEZIER_HXX #include #endif #ifndef _BGFX_POLYGON_B2DPOLYGON_HXX #include #endif #ifndef _BGFX_VECTOR_B2DVECTOR_HXX #include #endif #ifndef _BGFX_POINT_B2DPOINT_HXX #include #endif #ifndef _BGFX_NUMERIC_FTOOLS_HXX #include #endif #include namespace { class DistanceErrorFunctor { public: DistanceErrorFunctor( const double& distance ) : mfDistance2( distance*distance ), mfLastDistanceError2( ::std::numeric_limits::max() ) { } bool needsFurtherSubdivision( const double& P1x, const double& P1y, const double& P2x, const double& P2y, const double& P3x, const double& P3y, const double& P4x, const double& P4y, const double&, const double& ) // last two values not used here { // Perform bezier flatness test (lecture notes from R. Schaback, // Mathematics of Computer-Aided Design, Uni Goettingen, 2000) // // ||P(t) - L(t)|| <= max ||b_j - b_0 - j/n(b_n - b_0)|| // 0<=j<=n // // What is calculated here is an upper bound to the distance from // a line through b_0 and b_3 (P1 and P4 in our notation) and the // curve. We can drop 0 and n from the running indices, since the // argument of max becomes zero for those cases. const double fJ1x( P2x - P1x - 1.0/3.0*(P4x - P1x) ); const double fJ1y( P2y - P1y - 1.0/3.0*(P4y - P1y) ); const double fJ2x( P3x - P1x - 2.0/3.0*(P4x - P1x) ); const double fJ2y( P3y - P1y - 2.0/3.0*(P4y - P1y) ); const double distanceError2( ::std::max( fJ1x*fJ1x + fJ1y*fJ1y, fJ2x*fJ2x + fJ2y*fJ2y) ); // stop if error measure does not improve anymore. This is a // safety guard against floating point inaccuracies. // stop if distance from line is guaranteed to be bounded by d bool bRet( mfLastDistanceError2 > distanceError2 && distanceError2 >= mfDistance2 ); mfLastDistanceError2 = distanceError2; return bRet; } private: double mfDistance2; double mfLastDistanceError2; }; class AngleErrorFunctor { public: AngleErrorFunctor( const double& angleBounds ) : // take positive branch, convert from degree to radiant mfTanAngle( tan( fabs(angleBounds)/180.0*M_PI ) ), mfLastTanAngle( ::std::numeric_limits::max() ) { } bool needsFurtherSubdivision( const double P1x, const double P1y, const double P2x, const double P2y, const double P3x, const double P3y, const double P4x, const double P4y, const double Pdx, const double Pdy ) { // Test angle differences between two lines (ad // and bd), meeting in the t=0.5 division point // (d), and the angle from the other ends of those // lines (b and a, resp.) to the tangents to the // curve at this points: // // *__________ // ......*b // ... // .. // . // * *d // | . // | . // | . // | . // |. // |. // * // a // // The idea of this test is based on the fact that // small angle deviations between straight lines // go by mostly unnoticed by the human eye. When // we stop subdivision according to this test, the // resulting line polygon is guaranteed to have // angle differences between adjacent lines lower // than the given threshold. // // When using half of the angle bound for the // difference to the tangents at a or b, resp., // this procedure guarantees that no angle in the // resulting line polygon is larger than the // specified angle bound. This is because during // subdivision, adjacent curve segments will have // collinear tangent vectors, thus, when each // side's line segments differs by at most angle/2 // from that tangent, the summed difference will // be at most angle (this was modeled after an // idea from Armin Weiss). // To stay within the notation above, a equals P1, // the other end point of the tangent starting at // a is P2, d is Pd, and so forth. const ::basegfx::B2DVector vecAD( Pdx - P1x, Pdy - P1y ); const ::basegfx::B2DVector vecDB( P4x - Pdx, P4y - Pdy ); const double scalarVecADDB( vecAD.scalar( vecDB ) ); const double crossVecADDB( vecAD.cross( vecDB ) ); const ::basegfx::B2DVector vecStartTangent( P2x - P1x, P2y - P1y ); const ::basegfx::B2DVector vecEndTangent( P4x - P3x, P4y - P3y ); const double scalarVecStartTangentAD( vecStartTangent.scalar( vecAD ) ); const double crossVecStartTangentAD( vecStartTangent.cross( vecAD ) ); const double scalarVecDBEndTangent( vecDB.scalar( vecEndTangent ) ); const double crossVecDBEndTangent( vecDB.cross( vecEndTangent ) ); double fCurrAngle( ::std::numeric_limits::max() ); // are vecAD, vecDB, start and end tangent collinear? If // yes, we're already done, and no further subdivision can // bring us any closer to a straight line... if( ::basegfx::fTools::equalZero( crossVecADDB ) && ::basegfx::fTools::equalZero( crossVecStartTangentAD ) && ::basegfx::fTools::equalZero( crossVecDBEndTangent ) ) { mfLastTanAngle = 0.0; return false; } // anyone has zero denominator? then we're at // +infinity, anyway, and should better keep on // subdividing if( ::basegfx::fTools::equalZero( scalarVecADDB ) || ::basegfx::fTools::equalZero( scalarVecStartTangentAD ) || ::basegfx::fTools::equalZero( scalarVecDBEndTangent ) ) { mfLastTanAngle = fCurrAngle; return true; } // now, sieve out quadrants which have // deviating angles of more than 90 // degrees. By inspection, this is everything // with a negative scalar product. If we // encounter such a negative scalar product, // we can simply keep on subdividing, since at // least one angle is then >90 degrees. if( ::basegfx::fTools::less( scalarVecADDB, 0.0 ) || ::basegfx::fTools::less( scalarVecStartTangentAD, 0.0 ) || ::basegfx::fTools::less( scalarVecDBEndTangent, 0.0 ) ) { mfLastTanAngle = fCurrAngle; // TODO: Do we need the // correct value here? return true; } // take the maximum tangens of angle // deviation, to compare against the threshold // below fCurrAngle = ::std::max( fabs( crossVecADDB / scalarVecADDB ), ::std::max( fabs( crossVecStartTangentAD / scalarVecStartTangentAD ), fabs( crossVecDBEndTangent / scalarVecDBEndTangent ) ) ); // stop if error measure does not improve anymore. This is a // safety guard against floating point inaccuracies. // stop if angle difference is guaranteed to be bounded by mfTanAngle bool bRet( mfLastTanAngle > fCurrAngle && fCurrAngle >= mfTanAngle ); mfLastTanAngle = fCurrAngle; return bRet; } private: double mfTanAngle; double mfLastTanAngle; }; /* Recursively subdivide cubic bezier curve via deCasteljau. @param rPoly Polygon to append generated points to @param d2 Maximal squared difference of curve to a straight line @param P* Exactly four points, interpreted as support and control points of a cubic bezier curve. @param old_distance2 Last squared distance to line for this recursion path. Used as an end condition, if it is no longer improving. @param recursionDepth Depth of recursion. Used as a termination criterion, to prevent endless looping. */ template < class ErrorFunctor > int ImplAdaptiveSubdivide( ::basegfx::B2DPolygon& rPoly, ErrorFunctor rErrorFunctor, const double P1x, const double P1y, const double P2x, const double P2y, const double P3x, const double P3y, const double P4x, const double P4y, int recursionDepth ) { // Hard limit on recursion depth, empiric number. Note that if // for some obscure reason, we're subdividing always, this // would lead to 2^maxRecursionDepth points generated enum {maxRecursionDepth=30}; // deCasteljau bezier arc, split at t=0.5 // Foley/vanDam, p. 508 // Note that for the pure distance error method, this // subdivision could be moved into the if-branch. But // since this accounts for saved work only for the // very last subdivision step, and we need the // subdivided curve for the angle criterium, I think // it's justified here. const double L1x( P1x ), L1y( P1y ); const double L2x( (P1x + P2x)*0.5 ), L2y( (P1y + P2y)*0.5 ); const double Hx ( (P2x + P3x)*0.5 ), Hy ( (P2y + P3y)*0.5 ); const double L3x( (L2x + Hx)*0.5 ), L3y( (L2y + Hy)*0.5 ); const double R4x( P4x ), R4y( P4y ); const double R3x( (P3x + P4x)*0.5 ), R3y( (P3y + P4y)*0.5 ); const double R2x( (Hx + R3x)*0.5 ), R2y( (Hy + R3y)*0.5 ); const double R1x( (L3x + R2x)*0.5 ), R1y( (L3y + R2y)*0.5 ); const double L4x( R1x ), L4y( R1y ); // stop at recursion level 128. This is a safety guard against // floating point inaccuracies. if( recursionDepth < maxRecursionDepth && rErrorFunctor.needsFurtherSubdivision( P1x, P1y, P2x, P2y, P3x, P3y, P4x, P4y, R1x, R1y ) ) { // subdivide further ++recursionDepth; int nGeneratedPoints(0); nGeneratedPoints += ImplAdaptiveSubdivide(rPoly, rErrorFunctor, L1x, L1y, L2x, L2y, L3x, L3y, L4x, L4y, recursionDepth); nGeneratedPoints += ImplAdaptiveSubdivide(rPoly, rErrorFunctor, R1x, R1y, R2x, R2y, R3x, R3y, R4x, R4y, recursionDepth); // return number of points generated in this // recursion branch return nGeneratedPoints; } else { // requested resolution reached. Add end points to // output iterator. order is preserved, since // this is so to say depth first traversal. rPoly.append( ::basegfx::B2DPoint( P1x, P1y ) ); // return number of points generated in this // recursion branch return 1; } } } namespace basegfx { // TODO: For bezier length calculations, use Jens Gravesens algorithm (e.g. Graphic Gems V, p. 199) // LATER #if 0 /* Approximate given cubic bezier curve by quadratic bezier segments */ void ImplQuadBezierApprox( B2DPolygon& rPoly, BitStream& rBits, Point& rLastPoint, const double d2, const double P1x, const double P1y, const double P2x, const double P2y, const double P3x, const double P3y, const double P4x, const double P4y ) { // Check for degenerate case, where the given cubic bezier curve // is already quadratic: P4 == 3P3 - 3P2 + P1 if( P4x == 3.0*P3x - 3.0*P2x + P1x && P4y == 3.0*P3y - 3.0*P2y + P1y ) { Impl_addQuadBezier( rBits, rLastPoint, 3.0/2.0*P2x - 1.0/2.0*P1x, 3.0/2.0*P2y - 1.0/2.0*P1y, P4x, P4y); } else { // Create quadratic segment for given cubic: // Start and end point must coincide, determine quadratic control // point in such a way that it lies on the intersection of the // tangents at start and end point, resp. Thus, both cubic and // quadratic curve segments will match in 0th and 1st derivative // at the start and end points // Intersection of P2P1 and P4P3 // (P2y-P4y)(P3x-P4x)-(P2x-P4x)(P3y-P4y) // lambda = ------------------------------------- // (P1x-P2x)(P3y-P4y)-(P1y-P2y)(P3x-P4x) // // Intersection point IP is now // IP = P2 + lambda(P1-P2) // const double nominator( (P2y-P4y)*(P3x-P4x) - (P2x-P4x)*(P3y-P4y) ); const double denominator( (P1x-P2x)*(P3y-P4y) - (P1y-P2y)*(P3x-P4x) ); const double lambda( nominator / denominator ); const double IPx( P2x + lambda*( P1x - P2x) ); const double IPy( P2y + lambda*( P1y - P2y) ); // Introduce some alias names: quadratic start point is P1, end // point is P4, control point is IP const double QP1x( P1x ); const double QP1y( P1y ); const double QP2x( IPx ); const double QP2y( IPy ); const double QP3x( P4x ); const double QP3y( P4y ); // Adapted bezier flatness test (lecture notes from R. Schaback, // Mathematics of Computer-Aided Design, Uni Goettingen, 2000) // // ||C(t) - Q(t)|| <= max ||c_j - q_j|| // 0<=j<=n // // In this case, we don't need the distance from the cubic bezier // to a straight line, but to a quadratic bezier. The c_j's are // the cubic bezier's bernstein coefficients, the q_j's the // quadratic bezier's. We have the c_j's given, the q_j's can be // calculated from QPi like this (sorry, mixed index notation, we // use [1,n], formulas use [0,n-1]): // // q_0 = QP1 = P1 // q_1 = 1/3 QP1 + 2/3 QP2 // q_2 = 2/3 QP2 + 1/3 QP3 // q_3 = QP3 = P4 // // We can drop case 0 and 3, since there the curves coincide // (distance is zero) // calculate argument of max for j=1 and j=2 const double fJ1x( P2x - 1.0/3.0*QP1x - 2.0/3.0*QP2x ); const double fJ1y( P2y - 1.0/3.0*QP1y - 2.0/3.0*QP2y ); const double fJ2x( P3x - 2.0/3.0*QP2x - 1.0/3.0*QP3x ); const double fJ2y( P3y - 2.0/3.0*QP2y - 1.0/3.0*QP3y ); // stop if distance from cubic curve is guaranteed to be bounded by d // Should denominator be 0: then P1P2 and P3P4 are parallel (P1P2^T R[90,P3P4] = 0.0), // meaning that either we have a straight line or an inflexion point (see else block below) if( 0.0 != denominator && ::std::max( fJ1x*fJ1x + fJ1y*fJ1y, fJ2x*fJ2x + fJ2y*fJ2y) < d2 ) { // requested resolution reached. // Add end points to output file. // order is preserved, since this is so to say depth first traversal. Impl_addQuadBezier( rBits, rLastPoint, QP2x, QP2y, QP3x, QP3y); } else { // Maybe subdivide further // This is for robustness reasons, since the line intersection // method below gets instable if the curve gets closer to a // straight line. If the given cubic bezier does not deviate by // more than d/4 from a straight line, either: // - take the line (that's what we do here) // - express the line by a quadratic bezier // Perform bezier flatness test (lecture notes from R. Schaback, // Mathematics of Computer-Aided Design, Uni Goettingen, 2000) // // ||P(t) - L(t)|| <= max ||b_j - b_0 - j/n(b_n - b_0)|| // 0<=j<=n // // What is calculated here is an upper bound to the distance from // a line through b_0 and b_3 (P1 and P4 in our notation) and the // curve. We can drop 0 and n from the running indices, since the // argument of max becomes zero for those cases. const double fJ1x( P2x - P1x - 1.0/3.0*(P4x - P1x) ); const double fJ1y( P2y - P1y - 1.0/3.0*(P4y - P1y) ); const double fJ2x( P3x - P1x - 2.0/3.0*(P4x - P1x) ); const double fJ2y( P3y - P1y - 2.0/3.0*(P4y - P1y) ); // stop if distance from line is guaranteed to be bounded by d/4 if( ::std::max( fJ1x*fJ1x + fJ1y*fJ1y, fJ2x*fJ2x + fJ2y*fJ2y) < d2/16.0 ) { // do not subdivide further, add straight line instead Impl_addStraightLine( rBits, rLastPoint, P4x, P4y); } else { // deCasteljau bezier arc, split at t=0.5 // Foley/vanDam, p. 508 const double L1x( P1x ), L1y( P1y ); const double L2x( (P1x + P2x)*0.5 ), L2y( (P1y + P2y)*0.5 ); const double Hx ( (P2x + P3x)*0.5 ), Hy ( (P2y + P3y)*0.5 ); const double L3x( (L2x + Hx)*0.5 ), L3y( (L2y + Hy)*0.5 ); const double R4x( P4x ), R4y( P4y ); const double R3x( (P3x + P4x)*0.5 ), R3y( (P3y + P4y)*0.5 ); const double R2x( (Hx + R3x)*0.5 ), R2y( (Hy + R3y)*0.5 ); const double R1x( (L3x + R2x)*0.5 ), R1y( (L3y + R2y)*0.5 ); const double L4x( R1x ), L4y( R1y ); // subdivide further Impl_quadBezierApprox(rBits, rLastPoint, d2, L1x, L1y, L2x, L2y, L3x, L3y, L4x, L4y); Impl_quadBezierApprox(rBits, rLastPoint, d2, R1x, R1y, R2x, R2y, R3x, R3y, R4x, R4y); } } } } } #endif sal_Int32 adaptiveSubdivideByDistance( B2DPolygon& rPoly, const B2DCubicBezier& rCurve, double distanceBounds, bool bAddEndPoint ) { const B2DPoint start( rCurve.getStartPoint() ); const B2DPoint control1( rCurve.getControlPointA() ); const B2DPoint control2( rCurve.getControlPointB() ); const B2DPoint end( rCurve.getEndPoint() ); sal_Int32 nPoints( ImplAdaptiveSubdivide( rPoly, DistanceErrorFunctor( distanceBounds ), start.getX(), start.getY(), control1.getX(), control1.getY(), control2.getX(), control2.getY(), end.getX(), end.getY(), 0 ) ); // finish polygon if ( bAddEndPoint ) { rPoly.append( end ); nPoints++; } return nPoints; } sal_Int32 adaptiveSubdivideByAngle( B2DPolygon& rPoly, const B2DCubicBezier& rCurve, double angleBounds, bool bAddEndPoint ) { const B2DPoint start( rCurve.getStartPoint() ); const B2DPoint control1( rCurve.getControlPointA() ); const B2DPoint control2( rCurve.getControlPointB() ); const B2DPoint end( rCurve.getEndPoint() ); sal_Int32 nPoints( ImplAdaptiveSubdivide( rPoly, AngleErrorFunctor( angleBounds ), start.getX(), start.getY(), control1.getX(), control1.getY(), control2.getX(), control2.getY(), end.getX(), end.getY(), 0 ) ); // finish polygon if ( bAddEndPoint ) { rPoly.append( end ); nPoints++; } return nPoints; } sal_Int32 adaptiveSubdivideByDistance( B2DPolygon& /*rPoly*/, const B2DQuadraticBezier& /*rCurve*/, double /*distanceBounds*/, bool /*bAddEndPoint*/ ) { // TODO return 0; } }