void AABBTransformAsAABB_SIMD(AABB &aabb, const float4x4 &m)
{
simd4f minPt = aabb.minPoint;
simd4f maxPt = aabb.maxPoint;
simd4f centerPoint = muls_ps(add_ps(minPt, maxPt), 0.5f);
simd4f newCenter = mat4x4_mul_vec4(m.row, centerPoint);
simd4f halfSize = sub_ps(centerPoint, minPt);
simd4f x = abs_ps(mul_ps(m.row[0], halfSize));
simd4f y = abs_ps(mul_ps(m.row[1], halfSize));
simd4f z = abs_ps(mul_ps(m.row[2], halfSize));
simd4f w = zero_ps();
simd4f newDir = hadd4_ps(x, y, z, w);
aabb.minPoint = sub_ps(newCenter, newDir);
aabb.maxPoint = add_ps(newCenter, newDir);
}
float3x4 float3x4::operator -() const
{
float3x4 r;
#ifdef MATH_SIMD
simd4f z = zero_ps();
r.row[0] = sub_ps(z, row[0]);
r.row[1] = sub_ps(z, row[1]);
r.row[2] = sub_ps(z, row[2]);
#else
for(int y = 0; y < Rows; ++y)
for(int x = 0; x < Cols; ++x)
r[y][x] = -v[y][x];
#endif
return r;
}
void Quat::ToAxisAngle(float4 &axis, float &angle) const
{
#if defined(MATH_AUTOMATIC_SSE) && defined(MATH_SSE)
// Best: 35.332 nsecs / 94.328 ticks, Avg: 35.870 nsecs, Worst: 57.607 nsecs
assume2(this->IsNormalized(), *this, this->Length());
simd4f cosAngle = _mm_shuffle_ps(q, q, _MM_SHUFFLE(3, 3, 3, 3));
simd4f rcpSinAngle = rsqrt_ps(sub_ps(set1_ps(1.f), mul_ps(cosAngle, cosAngle)));
angle = Acos(s4f_x(cosAngle)) * 2.f;
simd4f a = mul_ps(q, rcpSinAngle);
// Set the w component to zero.
simd4f highPart = _mm_unpackhi_ps(a, zero_ps()); // [_ _ 0 z]
axis.v = _mm_movelh_ps(a, highPart); // [0 z y x]
#else
// Best: 85.258 nsecs / 227.656 ticks, Avg: 85.492 nsecs, Worst: 86.410 nsecs
ToAxisAngle(reinterpret_cast<float3&>(axis), angle);
axis.w = 0.f;
#endif
}
float Quat::Normalize()
{
#ifdef MATH_AUTOMATIC_SSE
simd4f lenSq = vec4_length_sq_ps(q);
simd4f len = rsqrt_ps(lenSq);
simd4f isZero = cmplt_ps(lenSq, simd4fEpsilon); // Was the length zero?
simd4f normalized = mul_ps(q, len); // Normalize.
q = cmov_ps(normalized, float4::unitX.v, isZero); // If length == 0, output the vector (1,0,0,0).
len = cmov_ps(len, zero_ps(), isZero); // If length == 0, output zero as length.
return s4f_x(len);
#else
float length = Length();
if (length < 1e-4f)
return 0.f;
float rcpLength = 1.f / length;
x *= rcpLength;
y *= rcpLength;
z *= rcpLength;
w *= rcpLength;
return length;
#endif
}
vec Quat::Axis() const
{
assume2(this->IsNormalized(), *this, this->Length());
#if defined(MATH_AUTOMATIC_SSE) && defined(MATH_SSE)
// Best: 6.145 nsecs / 16.88 ticks, Avg: 6.367 nsecs, Worst: 6.529 nsecs
assume2(this->IsNormalized(), *this, this->Length());
simd4f cosAngle = _mm_shuffle_ps(q, q, _MM_SHUFFLE(3, 3, 3, 3));
simd4f rcpSinAngle = rsqrt_ps(sub_ps(set1_ps(1.f), mul_ps(cosAngle, cosAngle)));
simd4f a = mul_ps(q, rcpSinAngle);
// Set the w component to zero.
simd4f highPart = _mm_unpackhi_ps(a, zero_ps()); // [_ _ 0 z]
a = _mm_movelh_ps(a, highPart); // [0 z y x]
return FLOAT4_TO_DIR(a);
#else
// Best: 6.529 nsecs / 18.152 ticks, Avg: 6.851 nsecs, Worst: 8.065 nsecs
// Convert cos to sin via the identity sin^2 + cos^2 = 1, and fuse reciprocal and square root to the same instruction,
// since we are about to divide by it.
float rcpSinAngle = RSqrt(1.f - w*w);
return DIR_VEC(x, y, z) * rcpSinAngle;
#endif
}
Quat MUST_USE_RESULT Quat::Slerp(const Quat &q2, float t) const
{
assume(0.f <= t && t <= 1.f);
assume(IsNormalized());
assume(q2.IsNormalized());
#if defined(MATH_AUTOMATIC_SSE) && defined(MATH_SSE)
simd4f angle = dot4_ps(q, q2.q); // <q, q2.q>
simd4f neg = cmplt_ps(angle, zero_ps()); // angle < 0?
neg = and_ps(neg, set1_ps_hex(0x80000000)); // Convert 0/0xFFFFFFFF mask to a 0x/0x80000000 mask.
// neg = s4i_to_s4f(_mm_slli_epi32(s4f_to_s4i(neg), 31)); // A SSE2-esque way to achieve the above would be this, but this seems to clock slower (12.04 clocks vs 11.97 clocks)
angle = xor_ps(angle, neg); // if angle was negative, make it positive.
simd4f one = set1_ps(1.f);
angle = min_ps(angle, one); // If user passed t > 1 or t < -1, clamp the range.
// Compute a fast polynomial approximation to arccos(angle).
// arccos(x): (-0.69813170079773212f * x * x - 0.87266462599716477f) * x + 1.5707963267948966f;
angle = madd_ps(msub_ps(mul_ps(set1_ps(-0.69813170079773212f), angle), angle, set1_ps(0.87266462599716477f)), angle, set1_ps(1.5707963267948966f));
// Shuffle an appropriate vector from 't' and 'angle' for computing two sines in one go.
simd4f T = _mm_set_ss(t); // (.., t)
simd4f oneSubT = sub_ps(one, T); // (.., 1-t)
T = _mm_movelh_ps(T, oneSubT); // (.., 1-t, .., t)
angle = mul_ps(angle, T); // (.., (1-t)*angle, .., t*angle)
// Compute a fast polynomial approximation to sin(t*angle) and sin((1-t)*angle).
// Here could use "angle = sin_ps(angle);" for precision, but favor speed instead with the following polynomial expansion:
// sin(x): ((5.64311797634681035370e-03 * x * x - 1.55271410633428644799e-01) * x * x + 9.87862135574673806965e-01) * x
simd4f angle2 = mul_ps(angle, angle);
angle = mul_ps(angle, madd_ps(madd_ps(angle2, set1_ps(5.64311797634681035370e-03f), set1_ps(-1.55271410633428644799e-01f)), angle2, set1_ps(9.87862135574673806965e-01f)));
// Compute the final lerp factors a and b to scale q and q2.
simd4f a = zzzz_ps(angle);
simd4f b = xxxx_ps(angle);
a = xor_ps(a, neg);
a = mul_ps(q, a);
a = madd_ps(q2, b, a);
// The lerp above generates an unnormalized quaternion which needs to be renormalized.
return mul_ps(a, rsqrt_ps(dot4_ps(a, a)));
#else
float angle = this->Dot(q2);
float sign = 1.f; // Multiply by a sign of +/-1 to guarantee we rotate the shorter arc.
if (angle < 0.f)
{
angle = -angle;
sign = -1.f;
}
float a;
float b;
if (angle < 0.999) // perform spherical linear interpolation.
{
// angle = Acos(angle); // After this, angle is in the range pi/2 -> 0 as the original angle variable ranged from 0 -> 1.
angle = (-0.69813170079773212f * angle * angle - 0.87266462599716477f) * angle + 1.5707963267948966f;
float ta = t*angle;
#ifdef MATH_USE_SINCOS_LOOKUPTABLE
// If Sin() is based on a lookup table, prefer that over polynomial approximation.
a = Sin(angle - ta);
b = Sin(ta);
#else
// Not using a lookup table, manually compute the two sines by using a very rough approximation.
float ta2 = ta*ta;
b = ((5.64311797634681035370e-03f * ta2 - 1.55271410633428644799e-01f) * ta2 + 9.87862135574673806965e-01f) * ta;
a = angle - ta;
float a2 = a*a;
a = ((5.64311797634681035370e-03f * a2 - 1.55271410633428644799e-01f) * a2 + 9.87862135574673806965e-01f) * a;
#endif
}
else // If angle is close to taking the denominator to zero, resort to linear interpolation (and normalization).
{
a = 1.f - t;
b = t;
}
// Lerp and renormalize.
return (*this * (a * sign) + q2 * b).Normalized();
#endif
}
