ReconstructionOptions Struct Reference
Option struct for Poisson surface reconstruction. More...
#include <lagrange/poisson/mesh_from_oriented_points.h>
Inherits CommonOptions.
Public Attributes | |
| std::string_view | input_normals |
Input normal attribute name. If empty, uses the first attribute with usage Normal. | |
| float | interpolation_weight = 2.f |
| Point interpolation weight (lambda) | |
| bool | use_normal_length_as_confidence = false |
| Use normal length as confidence. | |
| bool | use_dirichlet_boundary = false |
| Use dirichlet boundary conditions. | |
| std::string_view | interpolated_attribute_name |
| Attribute name of data to be interpolated at the vertices. | |
| std::string_view | output_vertex_depth_attribute_name |
| Output density attribute name. More... | |
 Public Attributes inherited from CommonOptions | |
| unsigned int | octree_depth = 0 |
| Maximum octree depth. (If the value is zero then the minimum of 8 and log base 4 of the point count is used.) | |
| float | samples_per_node = 1.5f |
| Numer of samples per node. | |
| bool | verbose = false |
| Output logging information (directly printed to std::cout) | |
Detailed Description
Option struct for Poisson surface reconstruction.
Member Data Documentation
◆ output_vertex_depth_attribute_name
| std::string_view output_vertex_depth_attribute_name |
Output density attribute name.
We use a point's target octree depth as a measure of the sampling density. A lower number means a low sampling density, and can be used to prune low-confidence regions as a post-process.
The documentation for this struct was generated from the following file:
- lagrange/poisson/mesh_from_oriented_points.h
