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Merge pull request #482 from barfowl/test
Refactored Far computation of Gregory patch basis functions:
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4ac2fb9909
@ -302,69 +302,125 @@ void GetGregoryWeights(PatchParam::BitField bits,
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// P0 e0+ e1- P1
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//
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// Indices of boundary and interior points and their corresponding Bezier points:
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// Indices of boundary and interior points and their corresponding Bezier points
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// (this can be reduced with more direct indexing and unrolling of loops):
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//
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static int const boundaryGregory[12] = { 0, 1, 7, 5, 2, 6, 16, 12, 15, 17, 11, 10 };
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static int const boundaryBezier[12] = { 0, 1, 2, 3, 4, 7, 8, 11, 12, 13, 14, 15 };
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static int const boundaryBezSCol[12] = { 0, 1, 2, 3, 0, 3, 0, 3, 0, 1, 2, 3 };
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static int const boundaryBezTRow[12] = { 0, 0, 0, 0, 1, 1, 2, 2, 3, 3, 3, 3 };
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static int const interiorGregory[8] = { 3, 4, 8, 9, 13, 14, 18, 19 };
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static int const interiorBezier[8] = { 5, 5, 6, 6, 10, 10, 9, 9 };
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static int const interiorBezSCol[8] = { 1, 1, 2, 2, 2, 2, 1, 1 };
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static int const interiorBezTRow[8] = { 1, 1, 1, 1, 2, 2, 2, 2 };
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// Rational multipliers of the Bezier basis functions (note we need a set of weights
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// for each derivative for proper differentiation -- TBD):
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//
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float sComp = 1.0f - s;
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float tComp = 1.0f - t;
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// Bezier basis functions are denoted with B while the rational multipliers for the
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// interior points will be denoted G -- so we have B(s), B(t) and G(s,t):
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//
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// Directional Bezier basis functions B at s and t:
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float Bs[4], Bds[4];
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float Bt[4], Bdt[4];
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bits.Normalize(s,t);
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Spline<BASIS_BEZIER>::GetWeights(s, Bs, deriv1 ? Bds : 0);
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Spline<BASIS_BEZIER>::GetWeights(t, Bt, deriv2 ? Bdt : 0);
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// Rational multipliers G at s and t:
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float sC = 1.0f - s;
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float tC = 1.0f - t;
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// Use <= here to avoid compiler warnings -- the sums should always be non-negative:
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float df0 = s + t; if (df0 <= 0.0f) df0 = 1.0f;
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float df1 = sComp + t; if (df1 <= 0.0f) df1 = 1.0f;
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float df2 = sComp + tComp; if (df2 <= 0.0f) df2 = 1.0f;
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float df3 = s + tComp; if (df3 <= 0.0f) df3 = 1.0f;
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float df0 = s + t; df0 = (df0 <= 0.0f) ? 1.0f : (1.0f / df0);
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float df1 = sC + t; df1 = (df1 <= 0.0f) ? 1.0f : (1.0f / df1);
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float df2 = sC + tC; df2 = (df2 <= 0.0f) ? 1.0f : (1.0f / df2);
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float df3 = s + tC; df3 = (df3 <= 0.0f) ? 1.0f : (1.0f / df3);
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float interiorPointBasis[8] = { s/df0, t/df0,
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t/df1, sComp/df1,
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sComp/df2, tComp/df2,
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tComp/df3, s/df3 };
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float G[8] = { s*df0, t*df0, t*df1, sC*df1, sC*df2, tC*df2, tC*df3, s*df3 };
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// Weights from a bicubic Bezier patch:
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//
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float bezierPoint[16], bezierDeriv1[16], bezierDeriv2[16];
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GetBezierWeights(bits, s, t, bezierPoint, bezierDeriv1, bezierDeriv2);
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// Copy basis functions (weights) for boundary points and scale the interior basis
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// functions by their rational multipliers:
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//
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// Combined weights for boundary and interior points:
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for (int i = 0; i < 12; ++i) {
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point[boundaryGregory[i]] = bezierPoint[boundaryBezier[i]];
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point[boundaryGregory[i]] = Bs[boundaryBezSCol[i]] * Bt[boundaryBezTRow[i]];
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}
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for (int i = 0; i < 8; ++i) {
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point[interiorGregory[i]] = bezierPoint[interiorBezier[i]] * interiorPointBasis[i];
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point[interiorGregory[i]] = Bs[interiorBezSCol[i]] * Bt[interiorBezTRow[i]] * G[i];
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}
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//
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// For derivatives, the basis functions for the interior points are rational and ideally
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// require appropriate differentiation, i.e. product rule for the combination of B and G
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// and the quotient rule for the rational G itself. As initially proposed by Loop et al
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// though, the approximation using the 16 Bezier points arising from the G(s,t) has
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// proved adequate (and is what the GPU shaders use) so we continue to use that here.
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//
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// An implementation of the true derivatives is provided for future reference -- it is
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// unclear if the approximations will hold up under surface analysis involving higher
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// order differentiation.
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//
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if (deriv1 and deriv2) {
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// Copy the differentiated basis functions for Bezier to the boundary points:
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//
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// Remember to include derivative scaling in all assignments below:
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float dScale = (float)(1 << bits.GetDepth());
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// Combined weights for boundary points -- simple (scaled) tensor products:
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for (int i = 0; i < 12; ++i) {
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deriv1[boundaryGregory[i]] = bezierDeriv1[boundaryBezier[i]];
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deriv2[boundaryGregory[i]] = bezierDeriv2[boundaryBezier[i]];
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int iDst = boundaryGregory[i];
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int tRow = boundaryBezTRow[i];
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int sCol = boundaryBezSCol[i];
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deriv1[iDst] = Bds[sCol] * Bt[tRow] * dScale;
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deriv2[iDst] = Bdt[tRow] * Bs[sCol] * dScale;
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}
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// XXX barry: NOTE -- THIS IS NOT CORRECT (the correction is pending)...
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//
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// The basis functions for the interior points are rational and require appropriate
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// differentiation wrt each parametric direction. So we will need the Bezier basis
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// functions in each of s and t rather than for (s,t) combined. The correction will
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// also need to support higher order derivatives and so will be combined with that
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// extension.
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//
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// What follows preserves what has been done with Gregory derivatives to this point.
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#define _USE_BEZIER_PSEUDO_DERIVATIVES
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#ifdef _USE_BEZIER_PSEUDO_DERIVATIVES
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// Approximation to the true Gregory derivatives by differentiating the Bezier patch
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// unique to the given (s,t), i.e. having F = (g^+ * f^+) + (g^- * f^-) as its four
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// interior points:
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//
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// Combined weights for interior points -- (scaled) tensor products with G+ or G-:
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for (int i = 0; i < 8; ++i) {
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deriv1[interiorGregory[i]] = bezierDeriv1[interiorBezier[i]] * interiorPointBasis[i];
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deriv2[interiorGregory[i]] = bezierDeriv2[interiorBezier[i]] * interiorPointBasis[i];
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int iDst = interiorGregory[i];
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int tRow = interiorBezTRow[i];
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int sCol = interiorBezSCol[i];
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deriv1[iDst] = Bds[sCol] * Bt[tRow] * G[i] * dScale;
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deriv2[iDst] = Bdt[tRow] * Bs[sCol] * G[i] * dScale;
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}
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#else
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// True Gregory derivatives using appropriate differentiation of composite functions:
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//
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// Note that for G(s,t) = N(s,t) / D(s,t), all N' and D' are trivial constants (which
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// simplifies things for higher order derivatives). And while each pair of functions
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// G (i.e. the G+ and G- corresponding to points f+ and f-) must sum to 1 to ensure
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// Bezier equivalence (when f+ = f-), the pairs of G' must similarly sum to 0. So we
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// can potentially compute only one of the pair and negate the result for the other
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// (and with 4 or 8 computations involving these constants, this is all very SIMD
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// friendly...) but for now we treat all 8 independently for simplicity.
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//
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//float N[8] = { s, t, t, sC, sC, tC, tC, s };
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float D[8] = { df0, df0, df1, df1, df2, df2, df3, df3 };
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static float const Nds[8] = { 1.0f, 0.0f, 0.0f, -1.0f, -1.0f, 0.0f, 0.0f, 1.0f };
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static float const Ndt[8] = { 0.0f, 1.0f, 1.0f, 0.0f, 0.0f, -1.0f, -1.0f, 0.0f };
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static float const Dds[8] = { 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -1.0f, 1.0f, 1.0f };
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static float const Ddt[8] = { 1.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -1.0f };
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// Combined weights for interior points -- (scaled) combinations of B, B', G and G':
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for (int i = 0; i < 8; ++i) {
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int iDst = interiorGregory[i];
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int tRow = interiorBezTRow[i];
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int sCol = interiorBezSCol[i];
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// Quotient rule for G' (re-expressed in terms of G to simplify (and D = 1/D)):
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float Gds = (Nds[i] - Dds[i] * G[i]) * D[i];
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float Gdt = (Ndt[i] - Ddt[i] * G[i]) * D[i];
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// Product rule combining B and B' with G and G' (and scaled):
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deriv1[iDst] = (Bds[sCol] * G[i] + Bs[sCol] * Gds) * Bt[tRow] * dScale;
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deriv2[iDst] = (Bdt[tRow] * G[i] + Bt[tRow] * Gdt) * Bs[sCol] * dScale;
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}
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#endif
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}
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}
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