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CGAL 5.5.2 - Shape Detection
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CGAL 5.5.2 - Shape Detection
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#include <CGAL/Shape_detection/Efficient_RANSAC/Torus.h>
CGAL::Shape_detection::Shape_base< Traits >.
Torus implements Shape_base.
The torus is represented by the symmetry axis, its center on the axis, and the major and minor radii.
| Traits | must be a model of EfficientRANSACTraits with the additional requirement for tori (see EfficientRANSACTraits documentation). |
Public Member Functions | |
| Vector_3 | axis () const |
| Direction of symmetry axis. | |
| Point_3 | center () const |
| Center point on symmetry axis. | |
| FT | major_radius () const |
| Major radius of the torus. | |
| FT | minor_radius () const |
| Minor radius of the torus. | |
 Public Member Functions inherited from CGAL::Shape_detection::Shape_base< Traits > | |
| const std::vector< std::size_t > & | indices_of_assigned_points () const |
| Returns the indices of the points in the input range assigned to this shape. | |
| virtual std::string | info () const |
| Returns a string containing the shape type and the numerical parameters. | |
| virtual FT | squared_distance (const Point_3 &p) const =0 |
Computes the squared Euclidean distance from the query point p to the shape. | |
Additional Inherited Members | |
| Public Types inherited from CGAL::Shape_detection::Shape_base< Traits > | |
| typedef Traits::FT | FT |
| Number type. | |
| typedef Traits::Point_3 | Point_3 |
| Point type. | |
| typedef Traits::Vector_3 | Vector_3 |
| Vector type. | |
| Protected Member Functions inherited from CGAL::Shape_detection::Shape_base< Traits > | |
| virtual void | create_shape (const std::vector< std::size_t > &indices)=0 |
| Constructs the shape based on a minimal set of samples from the input data. | |
| virtual std::size_t | connected_component (std::vector< std::size_t > &indices, FT cluster_epsilon) |
| Determines the largest cluster of inlier points. More... | |
| std::size_t | connected_component_kdTree (std::vector< std::size_t > &indices, FT cluster_epsilon) |
Determines the largest cluster with a point-to-point distance not larger than cluster_epsilon. More... | |
| virtual void | squared_distance (const std::vector< std::size_t > &indices, std::vector< FT > &distances) const =0 |
| Computes the squared Euclidean distance from a set of points to the shape. More... | |
| virtual void | cos_to_normal (const std::vector< std::size_t > &indices, std::vector< FT > &angles) const =0 |
Computes the deviation of the point normal from the surface normal at the projected point in form of the dot product and writes the result into the provided angles vector. | |
| virtual std::size_t | minimum_sample_size () const =0 |
| Returns minimal number of sample points required for construction. | |
| boost::property_traits< typename Traits::Point_map >::reference | point (std::size_t i) const |
| Retrieves the point location from its index. | |
| boost::property_traits< typename Traits::Normal_map >::reference | normal (std::size_t i) const |
| Retrieves the normal vector from its index. | |
| const Traits & | traits () const |
| Retrieves the traits class. | |
1.8.13