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HighboostKernel.cu
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233 lines (192 loc) · 7.16 KB
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#include "HighboostKernel.h"
__device__ double GetNormD(double3 v) {
double result = sqrt(v.x*v.x + v.y*v.y + v.z*v.z);
return result;
}
__device__ double DotD(double3 v1, double3 v2) {
double result = v1.x * v2.x + v1.y * v2.y + v1.z * v2.z;
return result;
}
__device__ double3 projectionD(double3 v, double3 b) {
double norm = GetNormD(b);
double dist = (v.x*b.x + v.y*b.y + v.z*b.z + norm) * -1;
double k = dist / (norm * norm);
double3 result;
result.x = v.x + b.x * k;
result.y = v.y + b.y * k;
result.z = v.z + b.z * k;
return result;
}
__device__ double3 sumVecD(double3 v1, double3 v2) {
double3 result;
result.x = v1.x + v2.x;
result.y = v1.y + v2.y;
result.z = v1.z + v2.z;
return result;
}
__device__ double3 subVecD(double3 v1, double3 v2) {
double3 result;
result.x = v1.x - v2.x;
result.y = v1.y - v2.y;
result.z = v1.z - v2.z;
return result;
}
__device__ double calcAngleD(double3 vec1, double3 vec2) {
double dot = DotD(vec1, vec2);
double normVec1 = GetNormD(vec1);
double normVec2 = GetNormD(vec2);
double theta = dot / (normVec1 * normVec2);
double result = acos(theta);
return result;
}
__device__ int3 setPivot(int tid, int fid, int* _faces) {
int index = fid * 3;
int pivot = fid * 3;
int3 result = make_int3(-1, -1, -1);
for (int i = 0; i < 3; i++) {
if (_faces[index + i] == tid) {
pivot = index + i;
break;
}
}
int id0 = pivot % 3;
int id1 = (pivot + 1) % 3;
int id2 = (pivot + 2) % 3;
result = make_int3(index + id0, index + id1, index + id2);
return result;
}
__device__ double3 calcAreaD(double3 v1, double3 v2, double3 v3) {
double3 vec1 = subVecD(v2, v1); //v2 - v1
double3 vec2 = subVecD(v3, v1); //v3 - v1
double3 vec3 = subVecD(v3, v2); //v3 - v2
double3 m_vec1 = make_double3(vec1.x * -1, vec1.y * -1, vec1.z * -1);
double3 m_vec2 = make_double3(vec2.x * -1, vec2.y * -1, vec2.z * -1);
double3 m_vec3 = make_double3(vec3.x * -1, vec3.y * -1, vec3.z * -1);
double cotA = 1 / tan(calcAngleD(m_vec2, m_vec3));
double cotB = 1 / tan(calcAngleD(m_vec1, vec3));
double3 result;
result.x = (vec1.x * cotA + vec2.x * cotB) * -0.5;
result.y = (vec1.y * cotA + vec2.y * cotB) * -0.5;
result.z = (vec1.z * cotA + vec2.z * cotB) * -0.5;
return result;
}
__device__ double3 calcdistD(int3 fid1, int3 fid2, double3* _vertex) {
double3 result;
double3 f1v1 = _vertex[fid1.x];
double3 f1v2 = _vertex[fid1.y];
double3 f1v3 = _vertex[fid1.z];
double3 f2v1 = _vertex[fid2.x];
double3 f2v2 = _vertex[fid2.y];
double3 f2v3 = _vertex[fid2.z];
double3 centerF1 = make_double3((f1v1.x + f1v2.x + f1v3.x) / 3, (f1v1.y + f1v2.y + f1v3.y) / 3, (f1v1.z + f1v2.z + f1v3.z) / 3);
double3 centerF2 = make_double3((f2v1.x + f2v2.x + f2v3.x) / 3, (f2v1.y + f2v2.y + f2v3.y) / 3, (f2v1.z + f2v2.z + f2v3.z) / 3);
result = subVecD(centerF1, centerF2);
return result;
}
//양방향 필터 - 거리 차이 가우시안
__device__ double gaussiandistD(double value, double sigma) {
double result = 0.0;
result = exp(-(value * value) / (2*sigma*sigma)) / (2*3.14*sigma*sigma);
return result;
}
//양방향 필터 - BoostNormalVector 가우시안
__device__ double3 gaussiandiffD(double3 value, double sigma) {
double3 result = make_double3(0.0, 0.0, 0.0);
result.x = exp(-(value.x * value.x) / (2 * sigma * sigma)) / (2 * 3.14 * sigma * sigma);
result.y = exp(-(value.y * value.y) / (2 * sigma * sigma)) / (2 * 3.14 * sigma * sigma);
result.z = exp(-(value.z * value.z) / (2 * sigma * sigma)) / (2 * 3.14 * sigma * sigma);
return result;
}
//양방향 필터 계산
__global__ void calcBilateralD(HighboostDevice _hbd, int sigmaDist, int sigmaValue) {
int tid = blockIdx.x * blockDim.x + threadIdx.x;
double w = 0.0;
double3 bilateral;
int start = _hbd._dFnbStart[tid];
int end = _hbd._dFnbEnd[tid];
int3 _face = make_int3(_hbd._devFaces[tid * 3], _hbd._devFaces[tid * 3 + 1], _hbd._devFaces[tid * 3 + 2]);
double3 _boost = _hbd._devBNorm[tid];
for (int i = start; i < end + 1; i++) {
int fid = _hbd._dFnbfaces[i];
int3 _fnbf = make_int3(_hbd._devFaces[fid * 3], _hbd._devFaces[fid * 3 + 1], _hbd._devFaces[fid * 3 + 2]);
double3 dist = calcdistD(_face, _fnbf, _hbd._devVerticies);
double value = GetNormD(dist);
double g_dist = gaussiandistD(value, sigmaDist);
double3 _nfboost = _hbd._devBNorm[fid];
double3 diff = subVecD(_boost, _nfboost);
diff.x = abs(diff.x);
diff.y = abs(diff.y);
diff.z = abs(diff.z);
double3 g_diff = gaussiandiffD(diff, sigmaValue);
double3 g = make_double3(g_diff.x * g_dist, g_diff.y * g_dist, g_diff.z * g_dist);
double3 bg = make_double3(g.x * _nfboost.x, g.y * _nfboost.y, g.z * _nfboost.z);
bilateral = sumVecD(bilateral, bg);
w += GetNormD(g);
}
_hbd._devSmooth[tid] = make_double3(bilateral.x / w, bilateral.y / w, bilateral.z / w);
}
__global__ void updateBoostD(HighboostDevice _hbd) {
int tid = blockIdx.x * blockDim.x + threadIdx.x;
_hbd._devBNorm[tid] = _hbd._devSmooth[tid];
}
//경사하강법으로 새로운 위치 계산
__global__ void calcGradientD(HighboostDevice _hbd) {
int tid = blockIdx.x * blockDim.x + threadIdx.x; //vertex index
int start = _hbd._dVnbStart[tid];
int end = _hbd._dVnbEnd[tid];
int isStop = _hbd._isStop[tid];
double3 result = make_double3(0.0, 0.0, 0.0);
if (isStop == 0) {
for (int i = start; i < end + 1; i++) {
int fid = _hbd._dVnbfaces[i]; //nbface face index
int3 pivot = setPivot(tid, fid, _hbd._devFaces);
int3 vertex = make_int3(_hbd._devFaces[pivot.x], _hbd._devFaces[pivot.y], _hbd._devFaces[pivot.z]);
double3 b = _hbd._devBNorm[fid];
double3 v1 = _hbd._devVerticies[vertex.x];
double3 v2 = _hbd._devVerticies[vertex.y];
double3 v3 = _hbd._devVerticies[vertex.z];
double3 p_v1 = projectionD(v1, b);
double3 p_v2 = projectionD(v2, b);
double3 p_v3 = projectionD(v3, b);
double3 resultR = calcAreaD(v1, v2, v3);
double3 resultS = calcAreaD(p_v1, p_v2, p_v3);
double3 gradient;
gradient = subVecD(resultR, resultS);
result = sumVecD(result, gradient);
}
result.x = result.x * 2;
result.y = result.y * 2;
result.z = result.z * 2;
_hbd._devGradient[tid] = result;
}
}
__global__ void updatePosD(HighboostDevice _hbd, double learningrate) {
int tid = blockIdx.x * blockDim.x + threadIdx.x;
double gNorm = GetNormD(_hbd._devGradient[tid]);
double3 gradient;
double3 pos;
int isStop = _hbd._isStop[tid];
//if (isStop == 0) {
if (gNorm >= learningrate) {
gradient = make_double3(_hbd._devGradient[tid].x * 0.01, _hbd._devGradient[tid].y * 0.01, _hbd._devGradient[tid].z * 0.01);
pos = subVecD(_hbd._devVerticies[tid], gradient);
_hbd._devVerticies[tid] = pos;
}
else {
_hbd._isStop[tid] = 1;
}
//}
_hbd._devGradient[tid] = make_double3(0.0, 0.0, 0.0);
}
void HighboostKernel::calcBoost(HighboostDevice _hbd, int numBlocks, int numThreads, int sigmaDist, int sigmaValue) {
printf("Bilateral GPU\n");
calcBilateralD << < numBlocks, numThreads >> > (_hbd, sigmaDist, sigmaValue);
updateBoostD << < numBlocks, numThreads >> > (_hbd);
}
void HighboostKernel::calcGradient(HighboostDevice _hbd, int numBlocks, int numThreads, int iterate, double learningrate) {
printf("Gradient GPU\n");
for (int i = 0; i < iterate; i++) {
calcGradientD <<< numBlocks, numThreads >>> (_hbd);
updatePosD <<< numBlocks, numThreads >>> (_hbd, learningrate);
}
}