Beispiel #1
0
/**
 * @brief Sets up a new brush model
 * @sa EndModel
 */
void BeginModel (int entityNum)
{
	dBspModel_t* mod;
	int start, end;
	int j;
	const entity_t* e;

	if (curTile->nummodels == MAX_MAP_MODELS)
		Sys_Error("MAX_MAP_MODELS (%i)", curTile->nummodels);
	mod = &curTile->models[curTile->nummodels];

	mod->firstface = curTile->numfaces;

	firstmodeledge = curTile->numedges;

	/* bound the brushes */
	e = &entities[entityNum];

	start = e->firstbrush;
	end = start + e->numbrushes;
	AABB modBox;
	modBox.setNegativeVolume();

	for (j = start; j < end; j++) {
		const mapbrush_t* b = &mapbrushes[j];
		/* not a real brush (origin brush) - e.g. func_door */
		if (!b->numsides)
			continue;
		modBox.add(b->mbBox);
	}

	VectorCopy(modBox.mins, mod->mins);
	VectorCopy(modBox.maxs, mod->maxs);
}
Beispiel #2
0
void PhotonMap::init() {
   // build the underlying balanced kd-Tree
   if (size() > 1) {
      Photon **orig = (Photon **) malloc(sizeof(Photon*) * (size() + 1));
      Photon **tree = (Photon **) malloc(sizeof(Photon*) * (size() + 1));
      AABB aabb;
      
      // add all photons
      for (unsigned i = 1; i <= size(); ++i) {
         orig[i] = &m_photons[i];
         m_photons[i].plane = 0;
         
         aabb.add(m_photons[i].position);
         tree[i] = NULL;
      }
      
      // recursively balance tree
      _balance(tree, orig, 1, 1, size(), aabb);
      
      free(orig);
      
      unsigned d, j = 1, temp = 1;
      Photon temp_photon = m_photons[j];
      
      // update internal bookkeeping
      for (unsigned i = 1; i <= size(); ++i) {
         d = tree[j] - &m_photons[0];
         tree[j] = NULL;
         
         if (d != temp) {
            m_photons[j] = m_photons[d];
         } else {
            m_photons[j] = temp_photon;

            if (i < size()) {
               for (; temp <= size(); ++temp) 
                  if (tree[temp] != NULL)
                     break;
               
               temp_photon = m_photons[temp];
               j = temp;
            }
            
            continue;
         }
         
         j = d;
      }
      
      free(tree);
   }
   
   m_halfPhotons = m_size / 2 - 1;
}
Beispiel #3
0
/** needs to be done here, on map brushes as worldMins and worldMaxs from levels.c
 * are only calculated on BSPing
 * @param[out] mapSize the returned size in map units
 */
static void Check_MapSize (vec3_t mapSize)
{
	AABB mapBox;

	mapBox.setNegativeVolume();

	for (int i = 0; i < nummapbrushes; i++) {
		const mapbrush_t* brush = &mapbrushes[i];

		for (int bi = 0; bi < brush->numsides; bi++) {
			const winding_t* winding = brush->original_sides[bi].winding;

			for (int vi = 0; vi < winding->numpoints; vi++)
				mapBox.add(winding->p[vi]);
		}
	}
	mapBox.getDiagonal(mapSize);
}
void collision_detection::StaticDistanceField::initialize(
      const bodies::Body& body,
      double resolution,
      double space_around_body,
      bool save_points)
{
  points_.clear();
  inv_twice_resolution_ = 1.0 / (2.0 * resolution);


  logInform("    create points at res=%f",resolution);
  EigenSTL::vector_Vector3d points;
  determineCollisionPoints(body, resolution, points);

  if (points.empty())
  {
    logWarn("    StaticDistanceField::initialize: No points in body. Using origin.");
    points.push_back(body.getPose().translation());

    if (body.getType() == shapes::MESH)
    {
      const bodies::ConvexMesh& mesh = dynamic_cast<const bodies::ConvexMesh&>(body);
      const EigenSTL::vector_Vector3d& verts = mesh.getVertices();
      logWarn("    StaticDistanceField::initialize: also using %d vertices.", int(verts.size()));

      EigenSTL::vector_Vector3d::const_iterator it = verts.begin();
      EigenSTL::vector_Vector3d::const_iterator it_end = verts.end();
      for ( ; it != it_end ; ++it)
      {
        points.push_back(*it);
      }
    }
  }
  logInform("    StaticDistanceField::initialize: Using %d points.", points.size());

  AABB aabb;
  aabb.add(points);

  logInform("    space_around_body = %f",space_around_body);
  logInform("    DF: min=(%7.3f %7.3f %7.3f)  max=(%7.3f %7.3f %7.3f) (pre-space)",
                              aabb.min_.x(),
                              aabb.min_.y(),
                              aabb.min_.z(),
                              aabb.max_.x(),
                              aabb.max_.y(),
                              aabb.max_.z());

  aabb.min_ -= Eigen::Vector3d(space_around_body, space_around_body, space_around_body);
  aabb.max_ += Eigen::Vector3d(space_around_body, space_around_body, space_around_body);

  logInform("    DF: min=(%7.3f %7.3f %7.3f)  max=(%7.3f %7.3f %7.3f) (pre-adjust)",
                              aabb.min_.x(),
                              aabb.min_.y(),
                              aabb.min_.z(),
                              aabb.max_.x(),
                              aabb.max_.y(),
                              aabb.max_.z());

  aabb.min_.x() = std::floor(aabb.min_.x() / resolution) * resolution;
  aabb.min_.y() = std::floor(aabb.min_.y() / resolution) * resolution;
  aabb.min_.z() = std::floor(aabb.min_.z() / resolution) * resolution;

  logInform("    DF: min=(%7.3f %7.3f %7.3f)  max=(%7.3f %7.3f %7.3f) (post-adjust)",
                              aabb.min_.x(),
                              aabb.min_.y(),
                              aabb.min_.z(),
                              aabb.max_.x(),
                              aabb.max_.y(),
                              aabb.max_.z());

  Eigen::Vector3d size = aabb.max_ - aabb.min_;

  double diagonal = size.norm();

  logInform("    DF: sz=(%7.3f %7.3f %7.3f) cnt=(%d %d %d) diag=%f",
                              size.x(),
                              size.y(),
                              size.z(),
                              int(size.x()/resolution),
                              int(size.y()/resolution),
                              int(size.z()/resolution),
                              diagonal);


  distance_field::PropagationDistanceField df(
                              size.x(),
                              size.y(),
                              size.z(),
                              resolution,
                              aabb.min_.x(),
                              aabb.min_.y(),
                              aabb.min_.z(),
                              diagonal * 2.0,
                              true);
  df.addPointsToField(points);

  DistPosEntry default_entry;
  default_entry.distance_ = diagonal * 2.0;
  default_entry.cell_id_ = -1;

  resize(size.x(),
         size.y(),
         size.z(),
         resolution,
         aabb.min_.x(),
         aabb.min_.y(),
         aabb.min_.z(),
         default_entry);

  logInform("    copy %d points.",
    getNumCells(distance_field::DIM_X) *
    getNumCells(distance_field::DIM_Y) *
    getNumCells(distance_field::DIM_Z));

  int pdf_x,pdf_y,pdf_z;
  int sdf_x,sdf_y,sdf_z;
  Eigen::Vector3d pdf_p, sdf_p;
  df.worldToGrid(aabb.min_.x(), aabb.min_.y(), aabb.min_.z(), pdf_x,pdf_y,pdf_z);
  worldToGrid(aabb.min_.x(), aabb.min_.y(), aabb.min_.z(), sdf_x,sdf_y,sdf_z);
  df.gridToWorld(pdf_x,pdf_y,pdf_z, pdf_p.x(), pdf_p.y(), pdf_p.z());
  gridToWorld(sdf_x,sdf_y,sdf_z, sdf_p.x(), sdf_p.y(), sdf_p.z());

  logInform("    DF: min=(%10.6f %10.6f %10.6f)  quant->%3d %3d %3d  (pdf)",
                              aabb.min_.x(),
                              aabb.min_.y(),
                              aabb.min_.z(),
                              pdf_x,
                              pdf_y,
                              pdf_z);
  logInform("    DF: min=(%10.6f %10.6f %10.6f)  quant<-%3d %3d %3d  (pdf)",
                              pdf_p.x(),
                              pdf_p.y(),
                              pdf_p.z(),
                              pdf_x,
                              pdf_y,
                              pdf_z);
  logInform("    DF: min=(%10.6f %10.6f %10.6f)  quant<-%3d %3d %3d  (sdf)",
                              sdf_p.x(),
                              sdf_p.y(),
                              sdf_p.z(),
                              sdf_x,
                              sdf_y,
                              sdf_z);


  df.worldToGrid(0,0,0, pdf_x,pdf_y,pdf_z);
  worldToGrid(0,0,0, sdf_x,sdf_y,sdf_z);
  df.gridToWorld(pdf_x,pdf_y,pdf_z, pdf_p.x(), pdf_p.y(), pdf_p.z());
  gridToWorld(sdf_x,sdf_y,sdf_z, sdf_p.x(), sdf_p.y(), sdf_p.z());

  logInform("    DF: org=(%10.6f %10.6f %10.6f)  quant->%3d %3d %3d  (pdf)",
                              0.0,
                              0.0,
                              0.0,
                              pdf_x,
                              pdf_y,
                              pdf_z);
  logInform("    DF: org=(%10.6f %10.6f %10.6f)  quant<-%3d %3d %3d  (pdf)",
                              pdf_p.x(),
                              pdf_p.y(),
                              pdf_p.z(),
                              pdf_x,
                              pdf_y,
                              pdf_z);
  logInform("    DF: org=(%10.6f %10.6f %10.6f)  quant<-%3d %3d %3d  (sdf)",
                              sdf_p.x(),
                              sdf_p.y(),
                              sdf_p.z(),
                              sdf_x,
                              sdf_y,
                              sdf_z);


  df.worldToGrid(points[0].x(), points[0].y(), points[0].z(), pdf_x,pdf_y,pdf_z);
  worldToGrid(points[0].x(), points[0].y(), points[0].z(), sdf_x,sdf_y,sdf_z);
  df.gridToWorld(pdf_x,pdf_y,pdf_z, pdf_p.x(), pdf_p.y(), pdf_p.z());
  gridToWorld(sdf_x,sdf_y,sdf_z, sdf_p.x(), sdf_p.y(), sdf_p.z());

  logInform("    DF: p0 =(%10.6f %10.6f %10.6f)  quant->%3d %3d %3d  (pdf)",
                              points[0].x(),
                              points[0].y(),
                              points[0].z(),
                              pdf_x,
                              pdf_y,
                              pdf_z);
  logInform("    DF: p0 =(%10.6f %10.6f %10.6f)  quant<-%3d %3d %3d  (pdf)",
                              pdf_p.x(),
                              pdf_p.y(),
                              pdf_p.z(),
                              pdf_x,
                              pdf_y,
                              pdf_z);
  logInform("    DF: p0 =(%10.6f %10.6f %10.6f)  quant<-%3d %3d %3d  (sdf)",
                              sdf_p.x(),
                              sdf_p.y(),
                              sdf_p.z(),
                              sdf_x,
                              sdf_y,
                              sdf_z);


  for (int z = 0 ; z < df.getZNumCells() ; ++z)
  {
    for (int y = 0 ; y < df.getYNumCells() ; ++y)
    {
      for (int x = 0 ; x < df.getXNumCells() ; ++x)
      {
        DistPosEntry entry;
        double dist = df.getDistance(x, y, z);
        const distance_field::PropDistanceFieldVoxel& voxel = df.getCell(x,y,z);

        if (dist < 0)
        {

          // propogation distance field has a bias of -1*resolution on points inside the object
          if (dist <= -resolution)
          {
            dist += resolution;
          }
          else
          {
            logError("PropagationDistanceField returned distance=%f between 0 and -resolution=%f."
                     "  Did someone fix it?"
                     "  Need to remove workaround from static_distance_field.cpp",
                     dist,-resolution);
            dist = 0.0;
          }
          entry.distance_ = dist;
          entry.cell_id_ = getCellId(
                              voxel.closest_negative_point_.x(),
                              voxel.closest_negative_point_.y(),
                              voxel.closest_negative_point_.z());
        }
        else
        {
          entry.distance_ = dist;
          entry.cell_id_ = getCellId(
                              voxel.closest_point_.x(),
                              voxel.closest_point_.y(),
                              voxel.closest_point_.z());
        }
        setCell(x, y, z, entry);
      }
    }
  }

  if (save_points)
    std::swap(points, points_);
}