* Point Density texture

Replaced the previous KD-tree (for caching points) with a 
BVH-tree (thanks to Andre 'jaguarandi' Pinto for help here!).

The bvh is quite a bit faster and doesn't suffer some of the
artifacts that were apparent with the kd-tree.

I've also added a choice of falloff types: Standard, Smooth, and 
Sharp. Standard gives a harder edge, easier to see individual 
particles, and when used with a larger radius, Smooth and Sharp 
falloffs make a much cloudier appearance possible. See the image 
below (note the settings and render times too)

http://mke3.net/blender/devel/rendering/volumetrics/pointdensity_bvh.jpg
This commit is contained in:
2008-10-01 03:35:53 +00:00
parent 3c99a0f735
commit 8622cbca35
6 changed files with 183 additions and 45 deletions

View File

@@ -43,7 +43,7 @@
#include "BLI_blenlib.h"
#include "BLI_arithb.h"
#include "BLI_rand.h"
#include "BLI_kdtree.h"
#include "BLI_kdopbvh.h"
#include "DNA_texture_types.h"
#include "DNA_key_types.h"
@@ -474,7 +474,7 @@ void default_tex(Tex *tex)
if (tex->pd) {
tex->pd->radius = 0.3f;
tex->pd->nearest = 5;
tex->pd->falloff_type = TEX_PD_FALLOFF_STD;
}
pit = tex->plugin;
@@ -874,9 +874,10 @@ PointDensity *BKE_add_pointdensity(void)
pd= MEM_callocN(sizeof(PointDensity), "pointdensity");
pd->radius = 0.3f;
pd->nearest = 5;
pd->falloff_type = TEX_PD_FALLOFF_STD;
pd->source = TEX_PD_PSYS;
pd->point_tree = NULL;
//pd->point_data = NULL;
return pd;
}
@@ -887,6 +888,7 @@ PointDensity *BKE_copy_pointdensity(PointDensity *pd)
pdn= MEM_dupallocN(pd);
pdn->point_tree = NULL;
//pdn->point_data = NULL;
return pd;
}
@@ -894,9 +896,15 @@ PointDensity *BKE_copy_pointdensity(PointDensity *pd)
void BKE_free_pointdensitydata(PointDensity *pd)
{
if (pd->point_tree) {
BLI_kdtree_free(pd->point_tree);
BLI_bvhtree_free(pd->point_tree);
pd->point_tree = NULL;
}
/*
if (pd->point_data) {
MEM_freeN(pd->point_data);
pd->point_data = NULL;
}
*/
}
void BKE_free_pointdensity(PointDensity *pd)

View File

@@ -71,6 +71,9 @@ typedef void (*BVHTree_NearestPointCallback) (void *userdata, int index, const f
/* callback must update hit in case it finds a nearest successful hit */
typedef void (*BVHTree_RayCastCallback) (void *userdata, int index, const BVHTreeRay *ray, BVHTreeRayHit *hit);
/* callback to range search query */
typedef void (*BVHTree_RangeQuery) (void *userdata, int index, float squared_dist, float radius);
BVHTree *BLI_bvhtree_new(int maxsize, float epsilon, char tree_type, char axis);
void BLI_bvhtree_free(BVHTree *tree);
@@ -93,5 +96,9 @@ int BLI_bvhtree_find_nearest(BVHTree *tree, const float *co, BVHTreeNearest *nea
int BLI_bvhtree_ray_cast(BVHTree *tree, const float *co, const float *dir, float radius, BVHTreeRayHit *hit, BVHTree_RayCastCallback callback, void *userdata);
/* range query */
int BLI_bvhtree_range_query(BVHTree *tree, const float *co, float radius, BVHTree_RangeQuery callback, void *userdata);
#endif // BLI_KDOPBVH_H

View File

@@ -1171,7 +1171,7 @@ static float squared_dist(const float *a, const float *b)
}
//Determines the nearest point of the given node BV. Returns the squared distance to that point.
static float calc_nearest_point(BVHNearestData *data, BVHNode *node, float *nearest)
static float calc_nearest_point(const float *proj, BVHNode *node, float *nearest)
{
int i;
const float *bv = node->bv;
@@ -1179,12 +1179,12 @@ static float calc_nearest_point(BVHNearestData *data, BVHNode *node, float *near
//nearest on AABB hull
for(i=0; i != 3; i++, bv += 2)
{
if(bv[0] > data->proj[i])
if(bv[0] > proj[i])
nearest[i] = bv[0];
else if(bv[1] < data->proj[i])
else if(bv[1] < proj[i])
nearest[i] = bv[1];
else
nearest[i] = data->proj[i];
nearest[i] = proj[i];
}
/*
@@ -1206,7 +1206,7 @@ static float calc_nearest_point(BVHNearestData *data, BVHNode *node, float *near
}
}
*/
return squared_dist(data->co, nearest);
return squared_dist(proj, nearest);
}
@@ -1229,7 +1229,7 @@ static void dfs_find_nearest_dfs(BVHNearestData *data, BVHNode *node)
else
{
data->nearest.index = node->index;
data->nearest.dist = calc_nearest_point(data, node, data->nearest.co);
data->nearest.dist = calc_nearest_point(data->proj, node, data->nearest.co);
}
}
else
@@ -1243,7 +1243,7 @@ static void dfs_find_nearest_dfs(BVHNearestData *data, BVHNode *node)
for(i=0; i != node->totnode; i++)
{
if( calc_nearest_point(data, node->children[i], nearest) >= data->nearest.dist) continue;
if( calc_nearest_point(data->proj, node->children[i], nearest) >= data->nearest.dist) continue;
dfs_find_nearest_dfs(data, node->children[i]);
}
}
@@ -1251,7 +1251,7 @@ static void dfs_find_nearest_dfs(BVHNearestData *data, BVHNode *node)
{
for(i=node->totnode-1; i >= 0 ; i--)
{
if( calc_nearest_point(data, node->children[i], nearest) >= data->nearest.dist) continue;
if( calc_nearest_point(data->proj, node->children[i], nearest) >= data->nearest.dist) continue;
dfs_find_nearest_dfs(data, node->children[i]);
}
}
@@ -1261,7 +1261,7 @@ static void dfs_find_nearest_dfs(BVHNearestData *data, BVHNode *node)
static void dfs_find_nearest_begin(BVHNearestData *data, BVHNode *node)
{
float nearest[3], sdist;
sdist = calc_nearest_point(data, node, nearest);
sdist = calc_nearest_point(data->proj, node, nearest);
if(sdist >= data->nearest.dist) return;
dfs_find_nearest_dfs(data, node);
}
@@ -1298,7 +1298,7 @@ static void bfs_find_nearest(BVHNearestData *data, BVHNode *node)
}
current.node = node;
current.dist = calc_nearest_point(data, node, nearest);
current.dist = calc_nearest_point(data->proj, node, nearest);
while(current.dist < data->nearest.dist)
{
@@ -1326,7 +1326,7 @@ static void bfs_find_nearest(BVHNearestData *data, BVHNode *node)
}
heap[heap_size].node = current.node->children[i];
heap[heap_size].dist = calc_nearest_point(data, current.node->children[i], nearest);
heap[heap_size].dist = calc_nearest_point(data->proj, current.node->children[i], nearest);
if(heap[heap_size].dist >= data->nearest.dist) continue;
heap_size++;
@@ -1524,3 +1524,90 @@ int BLI_bvhtree_ray_cast(BVHTree *tree, const float *co, const float *dir, float
return data.hit.index;
}
/*
* Range Query - as request by broken :P
*
* Allocs and fills an array with the indexs of node that are on the given spherical range (center, radius)
* Returns the size of the array.
*/
typedef struct RangeQueryData
{
BVHTree *tree;
const float *center;
float radius; //squared radius
int hits;
BVHTree_RangeQuery callback;
void *userdata;
} RangeQueryData;
static void dfs_range_query(RangeQueryData *data, BVHNode *node)
{
if(node->totnode == 0)
{
//Calculate the node min-coords (if the node was a point then this is the point coordinates)
float co[3];
co[0] = node->bv[0];
co[1] = node->bv[2];
co[2] = node->bv[4];
}
else
{
int i;
for(i=0; i != node->totnode; i++)
{
float nearest[3];
float dist = calc_nearest_point(data->center, node->children[i], nearest);
if(dist < data->radius)
{
//Its a leaf.. call the callback
if(node->children[i]->totnode == 0)
{
data->hits++;
data->callback( data->userdata, node->children[i]->index, dist, data->radius );
}
else
dfs_range_query( data, node->children[i] );
}
}
}
}
int BLI_bvhtree_range_query(BVHTree *tree, const float *co, float radius, BVHTree_RangeQuery callback, void *userdata)
{
BVHNode * root = tree->nodes[tree->totleaf];
RangeQueryData data;
data.tree = tree;
data.center = co;
data.radius = radius*radius;
data.hits = 0;
data.callback = callback;
data.userdata = userdata;
if(root != NULL)
{
float nearest[3];
float dist = calc_nearest_point(data.center, root, nearest);
if(dist < data.radius)
{
//Its a leaf.. call the callback
if(root->totnode == 0)
{
data.hits++;
data.callback( data.userdata, root->index, dist, data.radius );
}
else
dfs_range_query( &data, root );
}
}
return data.hits;
}

View File

@@ -130,7 +130,7 @@ typedef struct EnvMap {
typedef struct PointDensity {
short flag;
short nearest;
short falloff_type;
float radius;
short source;
@@ -144,7 +144,10 @@ typedef struct PointDensity {
short pdpad2;
void *point_tree; /* the kd-tree containing points */
void *point_tree; /* the acceleration tree containing points */
//void *point_data; /* dynamically allocated extra for extra information, like particle age */
//int pdpad3;
} PointDensity;
typedef struct Tex {
@@ -415,10 +418,16 @@ typedef struct TexMapping {
#define TEX_PD_OBJECT 1
#define TEX_PD_FILE 2
/* falloff_type */
#define TEX_PD_FALLOFF_STD 0
#define TEX_PD_FALLOFF_SMOOTH 1
#define TEX_PD_FALLOFF_SHARP 2
/* psys_cache_space */
#define TEX_PD_OBJECTLOC 0
#define TEX_PD_OBJECTSPACE 1
#define TEX_PD_WORLDSPACE 2
#endif

View File

@@ -27,7 +27,7 @@
#include <stdio.h>
#include "BLI_arithb.h"
#include "BLI_kdtree.h"
#include "BLI_kdopbvh.h"
#include "BKE_DerivedMesh.h"
#include "BKE_global.h"
@@ -71,7 +71,7 @@ static void pointdensity_cache_psys(Render *re, PointDensity *pd, Object *ob, Pa
/* in case ob->imat isn't up-to-date */
Mat4Invert(ob->imat, ob->obmat);
pd->point_tree = BLI_kdtree_new(psys->totpart+psys->totchild);
pd->point_tree = BLI_bvhtree_new(psys->totpart+psys->totchild, 0.0, 2, 6);
if (psys->totchild > 0 && !(psys->part->draw & PART_DRAW_PARENT))
childexists = 1;
@@ -93,11 +93,12 @@ static void pointdensity_cache_psys(Render *re, PointDensity *pd, Object *ob, Pa
/* TEX_PD_WORLDSPACE */
}
BLI_kdtree_insert(pd->point_tree, i, partco, NULL);
BLI_bvhtree_insert(pd->point_tree, i, partco, 1);
}
}
BLI_kdtree_balance(pd->point_tree);
BLI_bvhtree_balance(pd->point_tree);
psys_render_restore(ob, psys);
}
@@ -112,7 +113,7 @@ static void pointdensity_cache_object(Render *re, PointDensity *pd, ObjectRen *o
/* in case ob->imat isn't up-to-date */
Mat4Invert(obr->ob->imat, obr->ob->obmat);
pd->point_tree = BLI_kdtree_new(obr->totvert);
pd->point_tree = BLI_bvhtree_new(obr->totvert, 0.0, 2, 6);
for(i=0; i<obr->totvert; i++) {
float ver_co[3];
@@ -128,10 +129,10 @@ static void pointdensity_cache_object(Render *re, PointDensity *pd, ObjectRen *o
Mat4MulVecfl(re->viewinv, ver_co);
}
BLI_kdtree_insert(pd->point_tree, i, ver_co, NULL);
BLI_bvhtree_insert(pd->point_tree, i, ver_co, 1);
}
BLI_kdtree_balance(pd->point_tree);
BLI_bvhtree_balance(pd->point_tree);
}
static void cache_pointdensity(Render *re, Tex *tex)
@@ -139,7 +140,7 @@ static void cache_pointdensity(Render *re, Tex *tex)
PointDensity *pd = tex->pd;
if (pd->point_tree) {
BLI_kdtree_free(pd->point_tree);
BLI_bvhtree_free(pd->point_tree);
pd->point_tree = NULL;
}
@@ -178,9 +179,16 @@ static void free_pointdensity(Render *re, Tex *tex)
PointDensity *pd = tex->pd;
if (pd->point_tree) {
BLI_kdtree_free(pd->point_tree);
BLI_bvhtree_free(pd->point_tree);
pd->point_tree = NULL;
}
/*
if (pd->point_data) {
MEM_freeN(pd->point_data);
pd->point_data = NULL;
}
*/
}
@@ -216,33 +224,49 @@ void free_pointdensities(Render *re)
}
}
void accum_density_std(void *userdata, int index, float squared_dist, float squared_radius)
{
float *density = userdata;
const float dist = squared_radius - squared_dist;
*density+= dist;
}
void accum_density_smooth(void *userdata, int index, float squared_dist, float squared_radius)
{
float *density = userdata;
const float dist = squared_radius - squared_dist;
*density+= 3.0f*dist*dist - 2.0f*dist*dist*dist;
}
void accum_density_sharp(void *userdata, int index, float squared_dist, float squared_radius)
{
float *density = userdata;
const float dist = squared_radius - squared_dist;
*density+= dist*dist;
}
#define MAX_POINTS_NEAREST 25
int pointdensitytex(Tex *tex, float *texvec, TexResult *texres)
{
int rv = TEX_INT;
PointDensity *pd = tex->pd;
KDTreeNearest nearest[MAX_POINTS_NEAREST];
float density=0.0f;
int n, neighbours=0;
if ((!pd) || (!pd->point_tree)) {
texres->tin = 0.0f;
return 0;
}
neighbours = BLI_kdtree_find_n_nearest(pd->point_tree, pd->nearest, texvec, NULL, nearest);
for(n=1; n<neighbours; n++) {
if ( nearest[n].dist < pd->radius) {
float dist = 1.0 - (nearest[n].dist / pd->radius);
density += 3.0f*dist*dist - 2.0f*dist*dist*dist;
}
}
density /= neighbours;
density *= 1.0 / pd->radius;
if (pd->falloff_type == TEX_PD_FALLOFF_STD)
BLI_bvhtree_range_query(pd->point_tree, texvec, pd->radius, accum_density_std, &density);
else if (pd->falloff_type == TEX_PD_FALLOFF_SMOOTH)
BLI_bvhtree_range_query(pd->point_tree, texvec, pd->radius, accum_density_smooth, &density);
else if (pd->falloff_type == TEX_PD_FALLOFF_SHARP)
BLI_bvhtree_range_query(pd->point_tree, texvec, pd->radius, accum_density_sharp, &density);
texres->tin = density;

View File

@@ -751,12 +751,15 @@ static void texture_panel_pointdensity(Tex *tex)
uiDefBut(block, LABEL, B_NOP, "Density estimation:",
X2CLM1, yco-=BUTH, BUTW2, BUTH, 0, 0, 0, 0, 0, "");
uiBlockBeginAlign(block);
uiDefButF(block, NUM, B_REDR, "Radius: ",
X2CLM1, yco-=BUTH, BUTW2, BUTH, &(pd->radius), 0.001, 100.0, 10, 2, "Radius to look for nearby particles within");
uiDefButS(block, NUM, B_REDR, "Nearby: ",
X2CLM1, yco-=BUTH, BUTW2, BUTH, &(pd->nearest), 2.0, 25.0, 10, 2, "The number of nearby particles to check for density (higher is more accurate, but slower)");
uiBlockEndAlign(block);
yco -= YSPACE;
uiDefBut(block, LABEL, B_NOP, "Falloff:",
X2CLM1, yco-=BUTH, BUTW2, BUTH, 0, 0, 0, 0, 0, "");
uiDefButS(block, MENU, B_REDR, "Standard %x0|Smooth %x1|Sharp %x2",
X2CLM1, yco-=BUTH, BUTW2, BUTH, &pd->falloff_type, 0.0, 0.0, 0, 0, "Falloff type");
yco = PANEL_YMAX;