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cosmetic

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Sébastien Loriot 2014-12-16 11:06:48 +01:00
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Point_set_processing_3/doc/Point_set_processing_3/Point_set_processing_3.txt
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@ -194,7 +194,7 @@ projecting each point onto a smooth parametric surface patch
Function `bilateral_smooth_point_set()` smooths the input point set by Function `bilateral_smooth_point_set()` smooths the input point set by
iteratively projecting each point onto the implicit surface patch fitted over its `k` nearest neighbors. iteratively projecting each point onto the implicit surface patch fitted over its `k` nearest neighbors.
Bilateral projection preserves sharp features according to the normal (gradient) information. Bilateral projection preserves sharp features according to the normal (gradient) information.
Normals are thus required as input. See section 4 in \cgalCite{ear-2013}. Normals are thus required as input. For more details, see section 4 of \cgalCite{ear-2013}.
\subsection Point_set_processing_3Example_5 Jet smoothing example \subsection Point_set_processing_3Example_5 Jet smoothing example
@ -268,7 +268,7 @@ normals:
\section Point_set_processing_3Upsampling Upsampling \section Point_set_processing_3Upsampling Upsampling
The function `edge_aware_upsample_point_set()` generates a denser point set from an input point set. This has applications in point-based rendering, hole filling, and sparse surface reconstruction. The function `edge_aware_upsample_point_set()` generates a denser point set from an input point set. This has applications in point-based rendering, hole filling, and sparse surface reconstruction.
The algorithm can progressively upsample the point set while approaching the edge singularities, see \cgalCite{ear-2013} for more detail. The algorithm can progressively upsample the point set while approaching the edge singularities. See \cgalCite{ear-2013} for more details.
\subsection Point_set_processing_3Example_8 Example \subsection Point_set_processing_3Example_8 Example