ExportCloudsDialog 0 0 814 898 Export 3D clouds true 0 0 773 1064 Binary file. true true Set the number of k nearest neighbors to use for the normal estimation. true 0 20 Regenerate clouds true m 3 1.000000000000000 0.010000000000000 0.005000000000000 1 32 1 3D cloud decimation (1-2-4-8-...). true 3D cloud voxel size. true m 1 100.000000000000000 0.100000000000000 4.000000000000000 3D cloud maximum depth (0 means no limit). true Cloud filtering (remove noisy points) true Radius search. true m 3 0.001000000000000 1.000000000000000 0.010000000000000 0.020000000000000 1 100 2 Minimum neighbors in the search radius. true Assemble clouds to a single output cloud true m 3 1.000000000000000 0.010000000000000 0.005000000000000 Voxel size. true Cloud smoothing using Moving Least Squares algorithm (MLS) true true WARNING: This adds significative time to process, though the clouds will be more smooth. true m 3 1.000000000000000 0.010000000000000 0.040000000000000 NONE DISTINCT_CLOUD SAMPLE_LOCAL_PLANE RANDOM_UNIFORM_DENSITY VOXEL_GRID_DILATION MLS search radius: Set the sphere radius that is to be used for determining the k-nearest neighbors used for fitting. Guidelines: 4 times the voxel size, 0.025 for voxel=0. true Upsampling method. true Polygonial order. Sets whether the surface and normal are approximated using a polynomial, or only via tangent estimation (value=0). true 0 4 2 0 NONE No upsampling will be done, only the input points will be projected to their own MLS surfaces. true Qt::Vertical 20 0 DISTINCT_CLOUD Will project the points of the distinct cloud to the closest point on the MLS surface. true Qt::Vertical 20 0 SAMPLE_LOCAL_PLANE The local plane of each input point will be sampled in a circular fashion. true Set the step size for the local plane sampling. true Set the radius of the circle in the local point plane that will be sampled. true Qt::Vertical 20 0 RANDOM_UNIFORM_DENSITY The local plane of each input point will be sampled using an uniform random distribution such that the density of points is constant throughout the cloud. true Set the parameter that specifies the desired number of points within the search radius. true Qt::Vertical 20 0 VOXEL_GRID_DILATION The input cloud will be inserted into a voxel grid. This voxel grid will be dilated and the resulting points will be projected to the MLS surface of the closest point in the input cloud. The result is a point cloud with filled holes and a constant point density. true Set the voxel size for the voxel grid. true Set the number of dilation steps of the voxel grid. true Qt::Vertical 20 0 Meshing using Greedy Projection Triangulation algorithm (GP3) true true Set the multiplier of the nearest neighbor distance to obtain the final search radius for each point (this will make the algorithm adapt to different point densities in the cloud). true m 3 1.000000000000000 0.010000000000000 0.040000000000000 Sphere radius that is to be used for determining the k-nearest neighbors used for triangulating (GP3). Guidelines: 4 times the voxel size, 0.025 for voxel=0. true 1 0.100000000000000 100.000000000000000 1.000000000000000 2.500000000000000 Texture mapping. Images of the cameras will be projected on the mesh(es). Output is a *.obj format. true Mesh quadric decimation factor (1=no decimation). Used to reduce the number of polygons. true 2 0.010000000000000 1.000000000000000 0.100000000000000 1.000000000000000 Qt::Vertical 20 0 Qt::Vertical 20 0 Qt::Horizontal QDialogButtonBox::Cancel|QDialogButtonBox::Ok|QDialogButtonBox::RestoreDefaults|QDialogButtonBox::Save buttonBox accepted() ExportCloudsDialog accept() 248 254 157 274 buttonBox rejected() ExportCloudsDialog reject() 316 260 286 274