Update doc with latest review

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Simon Giraudot 2016-04-21 09:57:16 +02:00
parent 629571b8cb
commit d04378bc7a
2 changed files with 4 additions and 5 deletions

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@ -107,9 +107,7 @@ which is used by the example \ref Point_set_shape_detection_3/efficient_RANSAC_
\section Point_set_shape_detection_3Plane_regularization Plane Regularization
Shape detection is very suited for man-made shapes such as urban scenes or scans of mechanical pieces. Such scenes may contain a wide variety of regularities that user may want to favor: parallelism, orthogonality, concentricity, coaxiality, etc., not to mention orbits and composed relationships.
Among all these possibilities, \cgal provides a means to regularize four properties of regularity through a function `CGAL::regularize_planes()`. It only postprocesses planes detected by `CGAL::Shape_detection_3<Traits>` (other primitives are left unchanged):
Shape detection applies to man-made scenes or objects such as urban scenes or scans of mechanical parts. Such scenes often contain a wide range of geometric regularities such as parallelism, orthogonality, or symmetry. This package offers a function to reinforce four types of regularities for planar shapes: `CGAL::regularize_planes()`. It only postprocesses planes detected by `CGAL::Shape_detection_3<Traits>` (other primitives are left unchanged):
- Planes that are near __parallel__ are made parallel: normal vectors of planes that form angles smaller than a user-defined threshold are made equal.

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@ -547,8 +547,9 @@ void subgraph_mutually_orthogonal_clusters (PlaneClusterContainer& clusters,
\tparam Traits a model of `EfficientRANSACTraits`
\param shape_detection Shape detection object used to detect
shapes from the input data. This engine may handle any types of
primitive shapes but only planes will be regularized.
shapes from the input data. While the shape detection algorithm
deals with several types of primitive shapes only planes can be
regularized.
\warning The `shape_detection` parameter must have already
detected shapes. If no plane exists in it, the regularization