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@ -107,9 +107,7 @@ which is used by the example \ref Point_set_shape_detection_3/efficient_RANSAC_
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\section Point_set_shape_detection_3Plane_regularization Plane Regularization
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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.
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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):
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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):
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- 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,
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\tparam Traits a model of `EfficientRANSACTraits`
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\param shape_detection Shape detection object used to detect
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shapes from the input data. This engine may handle any types of
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primitive shapes but only planes will be regularized.
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shapes from the input data. While the shape detection algorithm
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deals with several types of primitive shapes only planes can be
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regularized.
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\warning The `shape_detection` parameter must have already
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detected shapes. If no plane exists in it, the regularization
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