don't filter point cloud when estimating normals to avoid mismatch of number of points and normals

src/Mod/ReverseEngineering/App/AppReverseEngineering.cpp

@@ -114,7 +114,22 @@ public:
             "filterVoxelGrid(dim)."
         );
         add_keyword_method("normalEstimation",&Module::normalEstimation,
-            "normalEstimation(Points)."
+            "normalEstimation(Points,[KSearch=0, SearchRadius=0]) -> Normals\n"
+            "KSearch is an int and used to search the k-nearest neighbours in\n"
+            "the k-d tree. Alternatively, SearchRadius (a float) can be used\n"
+            "as spatial distance to determine the neighbours of a point\n"
+            "Example:\n"
+            "\n"
+            "import ReverseEngineering as Reen\n"
+            "pts=App.ActiveDocument.ActiveObject.Points\n"
+            "nor=Reen.normalEstimation(pts,KSearch=5)\n"
+            "\n"
+            "f=App.ActiveDocument.addObject('Points::FeaturePython','Normals')\n"
+            "f.addProperty('Points::PropertyNormalList','Normal')\n"
+            "f.Points=pts\n"
+            "f.Normal=nor\n"
+            "f.ViewObject.Proxy=0\n"
+            "f.ViewObject.DisplayMode=1\n"
         );
 #endif
 #if defined(HAVE_PCL_SEGMENTATION)