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blender-archive/source/blender/blenlib/BLI_kdtree.h

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/*
* ***** BEGIN GPL LICENSE BLOCK *****
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*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* as published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
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*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software Foundation,
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* Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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*
* Contributor(s): Janne Karhu
* Brecht Van Lommel
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*
* ***** END GPL LICENSE BLOCK *****
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*/
#ifndef __BLI_KDTREE_H__
#define __BLI_KDTREE_H__
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/** \file BLI_kdtree.h
* \ingroup bli
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* \brief A kd-tree for nearest neighbor search.
* \author Janne Karhu
* \author Brecht van Lommel
*/
struct KDTree;
typedef struct KDTree KDTree;
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typedef struct KDTreeNearest {
int index;
float dist;
float co[3];
} KDTreeNearest;
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/* Creates or free a kdtree */
KDTree *BLI_kdtree_new(int maxsize);
void BLI_kdtree_free(KDTree *tree);
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/* Construction: first insert points, then call balance. Normal is optional. */
void BLI_kdtree_insert(KDTree *tree, int index, const float co[3], const float nor[3]);
void BLI_kdtree_balance(KDTree *tree);
/* Find nearest returns index, and -1 if no node is found.
* Find n nearest returns number of points found, with results in nearest.
* Normal is optional, but if given will limit results to points in normal direction from co. */
int BLI_kdtree_find_nearest(KDTree *tree, const float co[3], const float nor[3], KDTreeNearest *nearest);
int BLI_kdtree_find_n_nearest(KDTree *tree, int n, const float co[3], const float nor[3], KDTreeNearest *nearest);
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Initial code for boids v2 Too many new features to list! But here are the biggies: - Boids can move on air and/or land, or climb a goal object. - Proper interaction with collision objects. * Closest collision object in negative z direction is considered as ground. * Other collision objects are obstacles and boids collide with them. - Boid behavior rules are now added to a dynamic list. * Many new rules and many still not implemented. * Different rule evaluation modes (fuzzy, random, average). - Only particle systems defined by per system "boid relations" are considered for simulation of that system. * This is in addition to the boids own system of course. * Relations define other systems as "neutral", "friend" or "enemy". - All effectors now effect boid physics, not boid brains. * This allows forcing boids somewhere. * Exception to this is new "boid" effector, which defines boid predators (positive strength) and goals (negative strength). Known issue: - Boid health isn't yet stored in pointcache so simulations with "fight" rule are not be read from cache properly. - Object/Group visualization object's animation is not played in "particle time". This is definately the wanted behavior, but isn't possible with the current state of dupliobject code. Other new features: - Particle systems can now be named separately from particle settings. * Default name for particle settings is now "ParticleSettings" instead of "PSys" - Per particle system list of particle effector weights. * Enables different effection strengths for particles from different particle systems with without messing around with effector group setting. Other code changes: - KDTree now supports range search as it's needed for new boids. - "Keyed particle targets" renamed as general "particle targets", as they're needed for boids too. (this might break some files saved with new keyed particles) Bug fixes: - Object & group visualizations didn't work. - Interpolating pointcache didn't do rotation.
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/* Range search returns number of points found, with results in nearest */
/* Normal is optional, but if given will limit results to points in normal direction from co. */
/* Remember to free nearest after use! */
int BLI_kdtree_range_search(KDTree *tree, float range, const float co[3], const float nor[3], KDTreeNearest **nearest);
#endif