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#include <string.h> |
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#include <math.h> |
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#include "bsdfrep.h" |
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#ifndef NEIGH_FACT2 |
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#define NEIGH_FACT2 0.1 /* empirical neighborhood distance weight */ |
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#endif |
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/* number of processes to run */ |
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int nprocs = 1; |
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/* number of children (-1 in child) */ |
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#endif /* ! _WIN32 */ |
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/* Compute normalized distribution scattering functions for comparison */ |
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static void |
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compute_nDSFs(const RBFNODE *rbf0, const RBFNODE *rbf1) |
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{ |
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const double nf0 = (GRIDRES*GRIDRES) / rbf0->vtotal; |
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const double nf1 = (GRIDRES*GRIDRES) / rbf1->vtotal; |
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int x, y; |
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FVECT dv; |
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|
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for (x = GRIDRES; x--; ) |
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for (y = GRIDRES; y--; ) { |
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ovec_from_pos(dv, x, y); /* cube root (brightness) */ |
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dsf_grid[x][y].val[0] = pow(nf0*eval_rbfrep(rbf0, dv), .3333); |
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dsf_grid[x][y].val[1] = pow(nf1*eval_rbfrep(rbf1, dv), .3333); |
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} |
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} |
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|
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/* Compute neighborhood distance-squared (dissimilarity) */ |
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static double |
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neighborhood_dist2(int x0, int y0, int x1, int y1) |
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{ |
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int rad = GRIDRES>>5; |
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double sum2 = 0.; |
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double d; |
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int p[4]; |
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int i, j; |
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/* check radius */ |
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p[0] = x0; p[1] = y0; p[2] = x1; p[3] = y1; |
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for (i = 4; i--; ) { |
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if (p[i] < rad) rad = p[i]; |
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if (GRIDRES-1-p[i] < rad) rad = GRIDRES-1-p[i]; |
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} |
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for (i = -rad; i <= rad; i++) |
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for (j = -rad; j <= rad; j++) { |
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d = dsf_grid[x0+i][y0+j].val[0] - |
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dsf_grid[x1+i][y1+j].val[1]; |
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sum2 += d*d; |
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} |
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return(sum2 / (4*rad*(rad+1) + 1)); |
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} |
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|
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/* Comparison routine needed for sorting price row */ |
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static int |
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msrt_cmp(void *b, const void *p1, const void *p2) |
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FVECT *vto = (FVECT *)malloc(sizeof(FVECT) * to_rbf->nrbf); |
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int i, j; |
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compute_nDSFs(from_rbf, to_rbf); |
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pm->nrows = from_rbf->nrbf; |
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pm->ncols = to_rbf->nrbf; |
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pm->price = (float *)malloc(sizeof(float) * pm->nrows*pm->ncols); |
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pm->prow = pricerow(pm,i); |
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srow = psortrow(pm,i); |
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for (j = to_rbf->nrbf; j--; ) { |
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double d; /* quadratic cost function */ |
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d = DOT(vfrom, vto[j]); |
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d = (d >= 1.) ? .0 : acos(d); |
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double d; /* quadratic cost function */ |
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d = Acos(DOT(vfrom, vto[j])); |
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pm->prow[j] = d*d; |
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d = R2ANG(to_rbf->rbfa[j].crad) - from_ang; |
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pm->prow[j] += d*d; |
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pm->prow[j] += d*d; |
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/* neighborhood difference */ |
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pm->prow[j] += NEIGH_FACT2 * neighborhood_dist2( |
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from_rbf->rbfa[i].gx, from_rbf->rbfa[i].gy, |
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to_rbf->rbfa[j].gx, to_rbf->rbfa[j].gy ); |
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srow[j] = j; |
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} |
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qsort_r(srow, pm->ncols, sizeof(short), pm, &msrt_cmp); |
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double bestd; |
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int n; |
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|
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|
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if (dsf_list == NULL) |
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return; /* XXX should be error? */ |
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near_rbf = dsf_list; |
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memcpy(mir_rbf, near_rbf, n); |
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mir_rbf->ord = near_rbf->ord - 1; /* not used, I think */ |
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mir_rbf->next = NULL; |
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mir_rbf->ejl = NULL; |
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rev_rbf_symmetry(mir_rbf, MIRROR_X|MIRROR_Y); |
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nprocs = 1; /* compute migration matrix */ |
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if (mig_list != create_migration(mir_rbf, near_rbf)) |
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if (create_migration(mir_rbf, near_rbf) == NULL) |
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exit(1); /* XXX should never happen! */ |
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/* interpolate normal dist. */ |
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rbf = e_advect_rbf(mig_list, norm_vec, 2*near_rbf->nrbf); |