Point Cloud Library (PCL)  1.11.1-dev
world_model.hpp
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38 
39 #ifndef PCL_WORLD_MODEL_IMPL_HPP_
40 #define PCL_WORLD_MODEL_IMPL_HPP_
41 
42 #include <pcl/gpu/kinfu_large_scale/world_model.h>
43 #include <pcl/common/transforms.h> // for transformPointCloud
44 
45 template <typename PointT>
46 void
48 {
49  PCL_DEBUG("Adding new cloud. Current world contains %zu points.\n",
50  static_cast<std::size_t>(world_->size()));
51 
52  PCL_DEBUG("New slice contains %zu points.\n",
53  static_cast<std::size_t>(new_cloud->size()));
54 
55  *world_ += *new_cloud;
56 
57  PCL_DEBUG("World now contains %zu points.\n",
58  static_cast<std::size_t>(world_->size()));
59 }
60 
61 template <typename PointT>
62 void
63 pcl::kinfuLS::WorldModel<PointT>::getExistingData(const double previous_origin_x, const double previous_origin_y, const double previous_origin_z, const double offset_x, const double offset_y, const double offset_z, const double volume_x, const double volume_y, const double volume_z, pcl::PointCloud<PointT> &existing_slice)
64 {
65  double newOriginX = previous_origin_x + offset_x;
66  double newOriginY = previous_origin_y + offset_y;
67  double newOriginZ = previous_origin_z + offset_z;
68  double newLimitX = newOriginX + volume_x;
69  double newLimitY = newOriginY + volume_y;
70  double newLimitZ = newOriginZ + volume_z;
71 
72  // filter points in the space of the new cube
74  // condition
75  ConditionAndPtr range_condAND (new pcl::ConditionAnd<PointT> ());
76  range_condAND->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("x", pcl::ComparisonOps::GE, newOriginX)));
77  range_condAND->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("x", pcl::ComparisonOps::LT, newLimitX)));
78  range_condAND->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("y", pcl::ComparisonOps::GE, newOriginY)));
79  range_condAND->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("y", pcl::ComparisonOps::LT, newLimitY)));
80  range_condAND->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("z", pcl::ComparisonOps::GE, newOriginZ)));
81  range_condAND->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("z", pcl::ComparisonOps::LT, newLimitZ)));
82 
83  // build the filter
84  pcl::ConditionalRemoval<PointT> condremAND (true);
85  condremAND.setCondition (range_condAND);
86  condremAND.setInputCloud (world_);
87  condremAND.setKeepOrganized (false);
88 
89  // apply filter
90  condremAND.filter (*newCube);
91 
92  // filter points that belong to the new slice
93  ConditionOrPtr range_condOR (new pcl::ConditionOr<PointT> ());
94 
95  if(offset_x >= 0)
96  range_condOR->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("x", pcl::ComparisonOps::GE, previous_origin_x + volume_x - 1.0 )));
97  else
98  range_condOR->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("x", pcl::ComparisonOps::LT, previous_origin_x )));
99 
100  if(offset_y >= 0)
101  range_condOR->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("y", pcl::ComparisonOps::GE, previous_origin_y + volume_y - 1.0 )));
102  else
103  range_condOR->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("y", pcl::ComparisonOps::LT, previous_origin_y )));
104 
105  if(offset_z >= 0)
106  range_condOR->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("z", pcl::ComparisonOps::GE, previous_origin_z + volume_z - 1.0 )));
107  else
108  range_condOR->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("z", pcl::ComparisonOps::LT, previous_origin_z )));
109 
110  // build the filter
111  pcl::ConditionalRemoval<PointT> condrem (true);
112  condrem.setCondition (range_condOR);
113  condrem.setInputCloud (newCube);
114  condrem.setKeepOrganized (false);
115  // apply filter
116  condrem.filter (existing_slice);
117 
118  if(!existing_slice.empty ())
119  {
120  //transform the slice in new cube coordinates
121  Eigen::Affine3f transformation;
122  transformation.translation ()[0] = newOriginX;
123  transformation.translation ()[1] = newOriginY;
124  transformation.translation ()[2] = newOriginZ;
125 
126  transformation.linear ().setIdentity ();
127 
128  transformPointCloud (existing_slice, existing_slice, transformation.inverse ());
129 
130  }
131 }
132 
133 
134 template <typename PointT>
135 void
136 pcl::kinfuLS::WorldModel<PointT>::getWorldAsCubes (const double size, std::vector<typename WorldModel<PointT>::PointCloudPtr> &cubes, std::vector<Eigen::Vector3f, Eigen::aligned_allocator<Eigen::Vector3f> > &transforms, double overlap)
137 {
138 
139  if(world_->points.empty ())
140  {
141  PCL_INFO("The world is empty, returning nothing\n");
142  return;
143  }
144 
145  PCL_INFO("Getting world as cubes. World contains %zu points.\n",
146  static_cast<std::size_t>(world_->size()));
147 
148  // remove nans from world cloud
149  world_->is_dense = false;
150  std::vector<int> indices;
151  pcl::removeNaNFromPointCloud ( *world_, *world_, indices);
152 
153  PCL_INFO("World contains %zu points after nan removal.\n",
154  static_cast<std::size_t>(world_->size()));
155 
156  // check cube size value
157  double cubeSide = size;
158  if (cubeSide <= 0.0f)
159  {
160  PCL_ERROR ("Size of the cube must be positive and non null (%f given). Setting it to 3.0 meters.\n", cubeSide);
161  cubeSide = 512.0f;
162  }
163 
164  std::cout << "cube size is set to " << cubeSide << std::endl;
165 
166  // check overlap value
167  double step_increment = 1.0f - overlap;
168  if (overlap < 0.0)
169  {
170  PCL_ERROR ("Overlap ratio must be positive or null (%f given). Setting it to 0.0 procent.\n", overlap);
171  step_increment = 1.0f;
172  }
173  if (overlap > 1.0)
174  {
175  PCL_ERROR ("Overlap ratio must be less or equal to 1.0 (%f given). Setting it to 10 procent.\n", overlap);
176  step_increment = 0.1f;
177  }
178 
179 
180  // get world's bounding values on XYZ
181  PointT min, max;
182  pcl::getMinMax3D(*world_, min, max);
183 
184  PCL_INFO ("Bounding box for the world: \n\t [%f - %f] \n\t [%f - %f] \n\t [%f - %f] \n", min.x, max.x, min.y, max.y, min.z, max.z);
185 
186  PointT origin = min;
187 
188  // clear returned vectors
189  cubes.clear();
190  transforms.clear();
191 
192  // iterate with box filter
193  while (origin.x < max.x)
194  {
195  origin.y = min.y;
196  while (origin.y < max.y)
197  {
198  origin.z = min.z;
199  while (origin.z < max.z)
200  {
201  // extract cube here
202  PCL_INFO ("Extracting cube at: [%f, %f, %f].\n", origin.x, origin.y, origin.z);
203 
204  // pointcloud for current cube.
206 
207 
208  // set conditional filter
209  ConditionAndPtr range_cond (new pcl::ConditionAnd<PointT> ());
210  range_cond->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("x", pcl::ComparisonOps::GE, origin.x)));
211  range_cond->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("x", pcl::ComparisonOps::LT, origin.x + cubeSide)));
212  range_cond->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("y", pcl::ComparisonOps::GE, origin.y)));
213  range_cond->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("y", pcl::ComparisonOps::LT, origin.y + cubeSide)));
214  range_cond->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("z", pcl::ComparisonOps::GE, origin.z)));
215  range_cond->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("z", pcl::ComparisonOps::LT, origin.z + cubeSide)));
216 
217  // build the filter
219  condrem.setCondition (range_cond);
220  condrem.setInputCloud (world_);
221  condrem.setKeepOrganized(false);
222  // apply filter
223  condrem.filter (*box);
224 
225  // also push transform along with points.
226  if(!box->points.empty ())
227  {
228  Eigen::Vector3f transform;
229  transform[0] = origin.x, transform[1] = origin.y, transform[2] = origin.z;
230  transforms.push_back(transform);
231  cubes.push_back(box);
232  }
233  else
234  {
235  PCL_INFO ("Extracted cube was empty, skipping this one.\n");
236  }
237  origin.z += cubeSide * step_increment;
238  }
239  origin.y += cubeSide * step_increment;
240  }
241  origin.x += cubeSide * step_increment;
242  }
243 
244 
245  /* for(int c = 0 ; c < cubes.size() ; ++c)
246  {
247  std::stringstream name;
248  name << "cloud" << c+1 << ".pcd";
249  pcl::io::savePCDFileASCII(name.str(), *(cubes[c]));
250 
251  }*/
252 
253  std::cout << "returning " << cubes.size() << " cubes" << std::endl;
254 }
255 
256 template <typename PointT>
257 inline void
259 {
260  std::vector<pcl::PCLPointField> fields;
261  pcl::for_each_type<FieldList> (pcl::detail::FieldAdder<PointT> (fields));
262  float my_nan = std::numeric_limits<float>::quiet_NaN ();
263 
264  for (int rii = 0; rii < static_cast<int> (indices->size ()); ++rii) // rii = removed indices iterator
265  {
266  std::uint8_t* pt_data = reinterpret_cast<std::uint8_t*> (&(*cloud)[(*indices)[rii]]);
267  for (const auto &field : fields)
268  memcpy (pt_data + field.offset, &my_nan, sizeof (float));
269  }
270 }
271 
272 
273 template <typename PointT>
274 void
275 pcl::kinfuLS::WorldModel<PointT>::setSliceAsNans (const double origin_x, const double origin_y, const double origin_z, const double offset_x, const double offset_y, const double offset_z, const int size_x, const int size_y, const int size_z)
276 {
277  // PCL_DEBUG ("IN SETSLICE AS NANS\n");
278 
280 
281  // prepare filter limits on all dimensions
282  double previous_origin_x = origin_x;
283  double previous_limit_x = origin_x + size_x - 1;
284  double new_origin_x = origin_x + offset_x;
285  double new_limit_x = previous_limit_x + offset_x;
286 
287  double previous_origin_y = origin_y;
288  double previous_limit_y = origin_y + size_y - 1;
289  double new_origin_y = origin_y + offset_y;
290  double new_limit_y = previous_limit_y + offset_y;
291 
292  double previous_origin_z = origin_z;
293  double previous_limit_z = origin_z + size_z - 1;
294  double new_origin_z = origin_z + offset_z;
295  double new_limit_z = previous_limit_z + offset_z;
296 
297  // get points of slice on X (we actually set a negative filter and set the ouliers (so, our slice points) to nan)
298  double lower_limit_x, upper_limit_x;
299  if(offset_x >=0)
300  {
301  lower_limit_x = previous_origin_x;
302  upper_limit_x = new_origin_x;
303  }
304  else
305  {
306  lower_limit_x = new_limit_x;
307  upper_limit_x = previous_limit_x;
308  }
309 
310  // PCL_DEBUG ("Limit X: [%f - %f]\n", lower_limit_x, upper_limit_x);
311 
312  ConditionOrPtr range_cond_OR_x (new pcl::ConditionOr<PointT> ());
313  range_cond_OR_x->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("x", pcl::ComparisonOps::GE, upper_limit_x ))); // filtered dimension
314  range_cond_OR_x->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("x", pcl::ComparisonOps::LT, lower_limit_x ))); // filtered dimension
315 
316  range_cond_OR_x->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("y", pcl::ComparisonOps::GE, previous_limit_y)));
317  range_cond_OR_x->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("y", pcl::ComparisonOps::LT, previous_origin_y )));
318 
319  range_cond_OR_x->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("z", pcl::ComparisonOps::GE, previous_limit_z)));
320  range_cond_OR_x->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("z", pcl::ComparisonOps::LT, previous_origin_z )));
321 
322  pcl::ConditionalRemoval<PointT> condrem_x (true);
323  condrem_x.setCondition (range_cond_OR_x);
324  condrem_x.setInputCloud (world_);
325  condrem_x.setKeepOrganized (false);
326  // apply filter
327  condrem_x.filter (*slice);
328  IndicesConstPtr indices_x = condrem_x.getRemovedIndices ();
329 
330  //set outliers (so our slice points) to nan
331  setIndicesAsNans(world_, indices_x);
332 
333  // PCL_DEBUG("%d points set to nan on X\n", indices_x->size ());
334 
335  // get points of slice on Y (we actually set a negative filter and set the ouliers (so, our slice points) to nan)
336  double lower_limit_y, upper_limit_y;
337  if(offset_y >=0)
338  {
339  lower_limit_y = previous_origin_y;
340  upper_limit_y = new_origin_y;
341  }
342  else
343  {
344  lower_limit_y = new_limit_y;
345  upper_limit_y = previous_limit_y;
346  }
347 
348  // PCL_DEBUG ("Limit Y: [%f - %f]\n", lower_limit_y, upper_limit_y);
349 
350  ConditionOrPtr range_cond_OR_y (new pcl::ConditionOr<PointT> ());
351  range_cond_OR_y->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("x", pcl::ComparisonOps::GE, previous_limit_x )));
352  range_cond_OR_y->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("x", pcl::ComparisonOps::LT, previous_origin_x )));
353 
354  range_cond_OR_y->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("y", pcl::ComparisonOps::GE, upper_limit_y))); // filtered dimension
355  range_cond_OR_y->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("y", pcl::ComparisonOps::LT, lower_limit_y ))); // filtered dimension
356 
357  range_cond_OR_y->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("z", pcl::ComparisonOps::GE, previous_limit_z)));
358  range_cond_OR_y->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("z", pcl::ComparisonOps::LT, previous_origin_z )));
359 
360  pcl::ConditionalRemoval<PointT> condrem_y (true);
361  condrem_y.setCondition (range_cond_OR_y);
362  condrem_y.setInputCloud (world_);
363  condrem_y.setKeepOrganized (false);
364  // apply filter
365  condrem_y.filter (*slice);
366  IndicesConstPtr indices_y = condrem_y.getRemovedIndices ();
367 
368  //set outliers (so our slice points) to nan
369  setIndicesAsNans(world_, indices_y);
370  // PCL_DEBUG ("%d points set to nan on Y\n", indices_y->size ());
371 
372  // get points of slice on Z (we actually set a negative filter and set the ouliers (so, our slice points) to nan)
373  double lower_limit_z, upper_limit_z;
374  if(offset_z >=0)
375  {
376  lower_limit_z = previous_origin_z;
377  upper_limit_z = new_origin_z;
378  }
379  else
380  {
381  lower_limit_z = new_limit_z;
382  upper_limit_z = previous_limit_z;
383  }
384 
385  // PCL_DEBUG ("Limit Z: [%f - %f]\n", lower_limit_z, upper_limit_z);
386 
387  ConditionOrPtr range_cond_OR_z (new pcl::ConditionOr<PointT> ());
388  range_cond_OR_z->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("x", pcl::ComparisonOps::GE, previous_limit_x )));
389  range_cond_OR_z->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("x", pcl::ComparisonOps::LT, previous_origin_x )));
390 
391  range_cond_OR_z->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("y", pcl::ComparisonOps::GE, previous_limit_y)));
392  range_cond_OR_z->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("y", pcl::ComparisonOps::LT, previous_origin_y )));
393 
394  range_cond_OR_z->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("z", pcl::ComparisonOps::GE, upper_limit_z))); // filtered dimension
395  range_cond_OR_z->addComparison (FieldComparisonConstPtr (new pcl::FieldComparison<PointT> ("z", pcl::ComparisonOps::LT, lower_limit_z ))); // filtered dimension
396 
397  pcl::ConditionalRemoval<PointT> condrem_z (true);
398  condrem_z.setCondition (range_cond_OR_z);
399  condrem_z.setInputCloud (world_);
400  condrem_z.setKeepOrganized (false);
401  // apply filter
402  condrem_z.filter (*slice);
403  IndicesConstPtr indices_z = condrem_z.getRemovedIndices ();
404 
405  //set outliers (so our slice points) to nan
406  setIndicesAsNans(world_, indices_z);
407  // PCL_DEBUG("%d points set to nan on Z\n", indices_z->size ());
408 
409 
410 }
411 
412 #define PCL_INSTANTIATE_WorldModel(T) template class PCL_EXPORTS pcl::kinfuLS::WorldModel<T>;
413 
414 #endif // PCL_WORLD_MODEL_IMPL_HPP_
pcl::kinfuLS::WorldModel< pcl::PointXYZI >::ConditionOrPtr
typename pcl::ConditionOr< pcl::PointXYZI >::Ptr ConditionOrPtr
Definition: world_model.h:74
pcl::PointCloud::empty
bool empty() const
Definition: point_cloud.h:439
pcl::IndicesConstPtr
shared_ptr< const Indices > IndicesConstPtr
Definition: pcl_base.h:59
pcl::ComparisonOps::GE
@ GE
Definition: conditional_removal.h:54
pcl::Filter::getRemovedIndices
const IndicesConstPtr getRemovedIndices() const
Get the point indices being removed.
Definition: filter.h:103
pcl::Filter::filter
void filter(PointCloud &output)
Calls the filtering method and returns the filtered dataset in output.
Definition: filter.h:121
pcl::ComparisonOps::LT
@ LT
Definition: conditional_removal.h:54
pcl::PointCloud
PointCloud represents the base class in PCL for storing collections of 3D points.
Definition: distances.h:55
pcl::PCLBase::setInputCloud
virtual void setInputCloud(const PointCloudConstPtr &cloud)
Provide a pointer to the input dataset.
Definition: pcl_base.hpp:65
pcl::PointXYZRGB
A point structure representing Euclidean xyz coordinates, and the RGB color.
Definition: point_types.hpp:628
pcl::transformPointCloud
void transformPointCloud(const pcl::PointCloud< PointT > &cloud_in, pcl::PointCloud< PointT > &cloud_out, const Eigen::Matrix< Scalar, 4, 4 > &transform, bool copy_all_fields)
Apply a rigid transform defined by a 4x4 matrix.
Definition: transforms.hpp:221
pcl::kinfuLS::WorldModel< pcl::PointXYZI >::FieldComparisonConstPtr
typename pcl::FieldComparison< pcl::PointXYZI >::ConstPtr FieldComparisonConstPtr
Definition: world_model.h:75
pcl::ConditionalRemoval::setCondition
void setCondition(ConditionBasePtr condition)
Set the condition that the filter will use.
Definition: conditional_removal.hpp:644
pcl::kinfuLS::WorldModel< pcl::PointXYZI >::ConditionAndPtr
typename pcl::ConditionAnd< pcl::PointXYZI >::Ptr ConditionAndPtr
Definition: world_model.h:73
pcl::kinfuLS::WorldModel
WorldModel maintains a 3D point cloud that can be queried and updated via helper functions.
Definition: world_model.h:62
pcl::ConditionalRemoval
ConditionalRemoval filters data that satisfies certain conditions.
Definition: conditional_removal.h:590
pcl::kinfuLS::WorldModel::setSliceAsNans
void setSliceAsNans(const double origin_x, const double origin_y, const double origin_z, const double offset_x, const double offset_y, const double offset_z, const int size_x, const int size_y, const int size_z)
Give nan values to the slice of the world.
Definition: world_model.hpp:275
pcl::kinfuLS::WorldModel::getWorldAsCubes
void getWorldAsCubes(double size, std::vector< PointCloudPtr > &cubes, std::vector< Eigen::Vector3f, Eigen::aligned_allocator< Eigen::Vector3f > > &transforms, double overlap=0.0)
Returns the world as two vectors of cubes of size "size" (pointclouds) and transforms.
Definition: world_model.hpp:136
pcl::ConditionalRemoval::setKeepOrganized
void setKeepOrganized(bool val)
Set whether the filtered points should be kept and set to the value given through setUserFilterValue ...
Definition: conditional_removal.h:630
pcl::removeNaNFromPointCloud
void removeNaNFromPointCloud(const pcl::PointCloud< PointT > &cloud_in, pcl::PointCloud< PointT > &cloud_out, Indices &index)
Removes points with x, y, or z equal to NaN.
Definition: filter.hpp:46
pcl::kinfuLS::WorldModel::addSlice
void addSlice(const PointCloudPtr new_cloud)
Append a new point cloud (slice) to the world.
Definition: world_model.hpp:47
pcl::getMinMax3D
void getMinMax3D(const pcl::PointCloud< PointT > &cloud, PointT &min_pt, PointT &max_pt)
Get the minimum and maximum values on each of the 3 (x-y-z) dimensions in a given pointcloud.
Definition: common.hpp:295
pcl::ConditionOr
OR condition.
Definition: conditional_removal.h:531
pcl::kinfuLS::WorldModel::getExistingData
void getExistingData(const double previous_origin_x, const double previous_origin_y, const double previous_origin_z, const double offset_x, const double offset_y, const double offset_z, const double volume_x, const double volume_y, const double volume_z, pcl::PointCloud< PointT > &existing_slice)
Retrieve existing data from the world model, after a shift.
Definition: world_model.hpp:63
pcl::ConditionAnd
AND condition.
Definition: conditional_removal.h:503
pcl::kinfuLS::WorldModel< pcl::PointXYZI >::PointCloudPtr
typename PointCloud::Ptr PointCloudPtr
Definition: world_model.h:70
pcl::detail::FieldAdder
Definition: conversions.h:63
pcl::FieldComparison
The field-based specialization of the comparison object.
Definition: conditional_removal.h:129