void SCANLINE::Compute_Poly_Normal()
{
vector< vector<float> > temp_vertex_normal(world_vertex.size(),vector<float>(3));
vector <float> temp_I_light(3);//light intensity
I_light = temp_I_light;
I_light[0] = 1.0;//R
I_light[1] = 0.64;//G
I_light[2] = 0;//B
vector <float> poly_vector_1(3);
vector <float> poly_vector_2(3);
vector <float> poly_normal(3);
vector <float> temp_H(3);
//calculus H
vector_summation(temp_H, vec_light,vec_view);
for (int j=0; j<3 ;j++ )
H_specular.push_back(temp_H[j]/vector_length(temp_H));
///---Intensity ambient----Ka*I
for (int j=0; j<3 ;j++ )
Intensity_ambient.push_back(K_ambient*I_light[j]);
for(int i=0; i<(int)Poly.size(); i++)
{//compute polygon normal
vector_subtraction(poly_vector_1,
world_vertex[Poly[i][2]-1],
world_vertex[Poly[i][1]-1]);
vector_subtraction(poly_vector_2,
world_vertex[Poly[i][2]-1],
world_vertex[Poly[i][3]-1]);
//compute 2 vector on one polygon
cross_product3D(poly_normal, poly_vector_1, poly_vector_2);
//calculus cross product
for(int j=1; j<(int)Poly[i][0]+1 ;j++)
{//add normal of neibor polygon to vertex
for (int p=0; p<3 ;p++ )
temp_vertex_normal[Poly[i][j]-1][p] += poly_normal[p];
}
}
for(int i=0; i<(int)temp_vertex_normal.size() ;i++ )
{
float temp_length = vector_length(temp_vertex_normal[i]);
for (int j=0; j<3 ;j++ )
{ //normalize the normal on vertex
temp_vertex_normal[i][j] = temp_vertex_normal[i][j] / temp_length;
}
}
vertex_normal = temp_vertex_normal;
//vertex normals as average of surrounding neibor polygon's normal
}
/* change m into an orthogonal matrix */
Matrix *gram_schmidt(Matrix *m){
Matrix *ortho;
double *ortho_vector, *temp;
unsigned int i, j;
if(m != NULL || m->rows == m->columns || zero_vector(m) != 1){
/* create my empy matrix to have new orthogonal vector be added to */
ortho = constructor(m->rows, 1);
/* initialize with the first vector */
free(ortho->numbers[0]);
ortho_vector = malloc(sizeof(double)*m->rows);
for(i = 0; i < m->rows; i++)
ortho_vector[i] = m->numbers[0][i];
ortho->numbers[0] = ortho_vector;
/* now loop and go through the gs system */
for(i = 1; i < m->columns; i++){
/* first initialize to the regular vector */
ortho_vector = malloc(sizeof(double)*m->rows);
for(j = 0; j < m->rows; j++)
ortho_vector[j] = m->numbers[i][j];
/* get the subtracting factor */
temp = projection(ortho, ortho_vector, m->rows);
/* expand the matrix */
ortho->columns++;
ortho->numbers = realloc(ortho->numbers, sizeof(double *)*ortho->columns);
ortho->numbers[ortho->columns - 1] = ortho_vector;
vector_subtraction(ortho_vector, temp, m->rows);
}
return ortho;
}
return NULL;
}
/*solution saved in b */
void conjugate_gradient(sparse_matrix A, double *b, int size) {
double *x, *r, *p, *Ap, *aux, rnew, rold, alfa;
int i;
x = (double*) malloc(size*sizeof(double));
r = (double*) malloc(size*sizeof(double));
p = (double*) malloc(size*sizeof(double));
Ap = (double*) malloc(size*sizeof(double));
aux = (double*) malloc(size*sizeof(double));
for (i = 0; i < size; i ++) {
x[i] = 0;
r[i] = b[i];
p[i] = b[i];
}
rold = inner_product(r, r, size);
/* result of operations from all void functions used here are stored in the last argument */
while (1) {
matrix_vector_product(A, p, Ap);
alfa = rold / inner_product(p, Ap, size); /*step length*/
vector_scalar_product(p, alfa, size, aux);
vector_sum(x, aux, size, x);
vector_scalar_product(Ap, alfa, size, aux);
vector_subtraction(r, aux, size, r);
rnew = inner_product(r, r, size);
if (sqrt(rnew) < E)
break;
vector_scalar_product(p, rnew / rold, size, p);
vector_sum(p, r, size, p);
rold = rnew;
}
for (i = 0; i < size; i ++) {
b[i] = x[i];
}
free(x);
free(r);
free(p);
free(Ap);
free(aux);
}
/* This function transforms a set of vectors into
* an orthonormal set: an orthonormal base */
struct vector * gram_schmidt(struct vector *v, unsigned int n)
{
struct vector *w;
w=malloc(n*sizeof(struct vector));
w[0]=unitary_vector(v[0]);
unsigned int i,j;
struct vector aux;
for (i = 1; i < n; i++)
{
w[i]=copy_vector(v[i]);
for (j = 0; j < i; j++)
{
aux=projection_along(w[j],v[i])
w[i]=vector_subtraction(w[i],aux);
}
w[i]=unitary_vector(w[i]);
}
return w;
}
void SCANLINE::Compute_Poly_Normal()
{//compute polygon normal, vertices normal and illumination model
vector< vector<float> >vertex_normal(world_vertex.size(),vector<float>(3));
vector< vector<float> >temp_Light_Intensity//vertex intensity
(world_vertex.size(),vector<float>(3));
vector <float> I_light(3);//light intensity
I_light[0] = 0.8;//R
I_light[1] = 0.0;//G
I_light[2] = 0.0;//B
vector <float> Intensity_diffuse(3);
vector <float> Intensity_specular(3);
vector <float> Intensity_ambient(3);
vector <float> poly_vector_1(3);
vector <float> poly_vector_2(3);
vector <float> poly_normal(3);
vector <float> H(3);
vector <float> temp_H(3);
//calculus H
vector_summation(temp_H, vec_light,vec_view);
for (int j=0; j<3 ;j++ )
H[j] = temp_H[j]/vector_length(temp_H);
///---Intensity ambient----Ka*I
for (int j=0; j<3 ;j++ )
Intensity_ambient[j] = K_ambient*I_light[j];
for(int i=0; i<(int)Poly.size(); i++)
{//compute polygon normal
vector_subtraction(poly_vector_1,
world_vertex[Poly[i][2]-1],
world_vertex[Poly[i][1]-1]);
vector_subtraction(poly_vector_2,
world_vertex[Poly[i][2]-1],
world_vertex[Poly[i][3]-1]);
//compute 2 vector on one polygon
cross_product3D(poly_normal, poly_vector_1, poly_vector_2);
//calculus cross product
// float temp_length = vector_length(poly_normal);
// for (int j=0; j<3 ;j++ )//(normalized)
// poly_normal[j] = poly_normal[j]/ temp_length;
for(int j=1; j<(int)Poly[i][0]+1 ;j++)
{//add normal of neibor polygon to vertex
for (int p=0; p<3 ;p++ )
vertex_normal[Poly[i][j]-1][p] += poly_normal[p];
}
}
for(int i=0; i<(int)vertex_normal.size() ;i++ )
{
float temp_length = vector_length(vertex_normal[i]);
for (int j=0; j<3 ;j++ )
{ //normalize the normal
vertex_normal[i][j] = vertex_normal[i][j] / temp_length;
///----------Intensity diffuse----Kd*I*(NL)
Intensity_diffuse[j] =
K_diffuse*I_light[j]*dot_product3D(vertex_normal[i],vec_light);
///----------Intensity specular----Ks*I*(NH)^n
Intensity_specular[j] =
K_specular*I_light[j]*pow(dot_product3D(vertex_normal[i],H),8);
//---------------sum of all intensity
temp_Light_Intensity[i][j]= Intensity_diffuse[j] +
Intensity_specular[j] + Intensity_ambient[j];
}
}
Light_Intensity = temp_Light_Intensity;
//Light_Intensity match to vertex index
}
void SCANLINE::Compute_pixel_intensity()
{
vector <float> Intensity_diffuse(3);
vector <float> Intensity_specular(3);
float cylinder_u,cylinder_v;
int shininess = 8;
for (int i = 0; i< Ymax ; i++ )
for (int j = 0; j< Xmax; j++ )
{
vector<float> pixel_normal(real_pixel[i][j].begin()+2,real_pixel[i][j].begin()+5);
vector<float> device_xyz(real_pixel[i][j].begin()+5,real_pixel[i][j].end());
if(vector_length(pixel_normal) == 0)
continue;
// if(vector_length(device_xyz) == 0)
// continue;
// datatest<<i<<'\t'<<j;
// for(int p = 0; p<(int)pixel_normal.size(); p++)
// datatest<<setw(15)<<pixel_normal[p];
// datatest<<endl;
vector<float> line_inter(4);
compute_invert(device_xyz);//out put xyz in world space
vector_subtraction(line_inter, ObjectCenter, device_xyz);
// for(int p = 0; p<(int)line_inter.size(); p++)
// datatest<<setw(15)<<line_inter[p];
// datatest<<endl;
Normalization(line_inter);
//normalize the pixel normal
Normalization(pixel_normal);
///texture mapping
// textureMapping(pixel_normal,cylinder_u,cylinder_v);
textureMapping(pixel_normal,cylinder_u,cylinder_v);
///-------------------------------
float cos_diffuse = dot_product3D(pixel_normal,vec_light);
float cos_specular = pow(dot_product3D(pixel_normal,H_specular),
shininess);
for (int p = 0; p< 3 ; p++ )
{
///----------Intensity diffuse----Kd*I*(NL)
Intensity_diffuse[p] = K_diffuse*I_light[p]*cos_diffuse;
///----------Intensity specular----Ks*I*(NH)^n
Intensity_specular[p] = K_specular*I_light[p]*cos_specular;
//---------------sum of all intensity--
//replace normal value to RGB value in real_pixel
real_pixel[i][j][p+2]= Intensity_diffuse[p] +
Intensity_specular[p] + Intensity_ambient[p]
+imagePixel[(int)cylinder_v][(int)cylinder_u][p];
if(real_pixel[i][j][p+2] > 1)
real_pixel[i][j][p+2] = 1;
}
}
// datatest.close();
}
