virtualx-engine/thirdparty/thekla_atlas/nvmath/ProximityGrid.cpp
Hein-Pieter van Braam bf05309af7 Import thekla_atlas
As requested by reduz, an import of thekla_atlas into thirdparty/
2017-12-08 15:47:15 +01:00

158 lines
3.8 KiB
C++

#include "ProximityGrid.h"
#include "Box.inl"
#include "Morton.h"
using namespace nv;
ProximityGrid::ProximityGrid() {
}
void ProximityGrid::reset() {
cellArray.clear();
}
void ProximityGrid::init(const Array<Vector3> & pointArray) {
// Compute bounding box.
Box box;
box.clearBounds();
const uint count = pointArray.count();
for (uint i = 0; i < count; i++) {
box.addPointToBounds(pointArray[i]);
}
init(box, count);
// Insert all points.
for (uint i = 0; i < count; i++) {
add(pointArray[i], i);
}
}
void ProximityGrid::init(const Box & box, uint count) {
reset();
// Determine grid size.
float cellWidth;
Vector3 diagonal = box.extents() * 2.f;
float volume = box.volume();
if (equal(volume, 0)) {
// Degenerate box, treat like a quad.
Vector2 quad;
if (diagonal.x < diagonal.y && diagonal.x < diagonal.z) {
quad.x = diagonal.y;
quad.y = diagonal.z;
}
else if (diagonal.y < diagonal.x && diagonal.y < diagonal.z) {
quad.x = diagonal.x;
quad.y = diagonal.z;
}
else {
quad.x = diagonal.x;
quad.y = diagonal.y;
}
float cellArea = quad.x * quad.y / count;
cellWidth = sqrtf(cellArea); // pow(cellArea, 1.0f / 2.0f);
}
else {
// Ideally we want one cell per point.
float cellVolume = volume / count;
cellWidth = pow(cellVolume, 1.0f / 3.0f);
}
nvDebugCheck(cellWidth != 0);
sx = max(1, ftoi_ceil(diagonal.x / cellWidth));
sy = max(1, ftoi_ceil(diagonal.y / cellWidth));
sz = max(1, ftoi_ceil(diagonal.z / cellWidth));
invCellSize.x = float(sx) / diagonal.x;
invCellSize.y = float(sy) / diagonal.y;
invCellSize.z = float(sz) / diagonal.z;
cellArray.resize(sx * sy * sz);
corner = box.minCorner; // @@ Align grid better?
}
// Gather all points inside the given sphere.
// Radius is assumed to be small, so we don't bother culling the cells.
void ProximityGrid::gather(const Vector3 & position, float radius, Array<uint> & indexArray) {
int x0 = index_x(position.x - radius);
int x1 = index_x(position.x + radius);
int y0 = index_y(position.y - radius);
int y1 = index_y(position.y + radius);
int z0 = index_z(position.z - radius);
int z1 = index_z(position.z + radius);
for (int z = z0; z <= z1; z++) {
for (int y = y0; y <= y1; y++) {
for (int x = x0; x <= x1; x++) {
int idx = index(x, y, z);
indexArray.append(cellArray[idx].indexArray);
}
}
}
}
uint32 ProximityGrid::mortonCount() const {
uint64 s = U64(max3(sx, sy, sz));
s = nextPowerOfTwo(s);
if (s > 1024) {
return U32(s * s * min3(sx, sy, sz));
}
return U32(s * s * s);
}
int ProximityGrid::mortonIndex(uint32 code) const {
uint32 x, y, z;
uint s = U32(max3(sx, sy, sz));
if (s > 1024) {
// Use layered two-dimensional morton order.
s = nextPowerOfTwo(s);
uint layer = code / (s * s);
code = code % (s * s);
uint layer_count = U32(min3(sx, sy, sz));
if (sx == layer_count) {
x = layer;
y = decodeMorton2X(code);
z = decodeMorton2Y(code);
}
else if (sy == layer_count) {
x = decodeMorton2Y(code);
y = layer;
z = decodeMorton2X(code);
}
else /*if (sz == layer_count)*/ {
x = decodeMorton2X(code);
y = decodeMorton2Y(code);
z = layer;
}
}
else {
x = decodeMorton3X(code);
y = decodeMorton3Y(code);
z = decodeMorton3Z(code);
}
if (x >= U32(sx) || y >= U32(sy) || z >= U32(sz)) {
return -1;
}
return index(x, y, z);
}