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tutorials:using-mesh-clouds-as-organ

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tutorials:using-mesh-clouds-as-organ [2024/11/11 11:53] – [Loading cloud] timtutorials:using-mesh-clouds-as-organ [2024/12/06 14:37] (current) – [Preparation] tim2
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 The example model can be found in the GroIMP example explorer (File/Example projects) under Point cloud/branch. The example model can be found in the GroIMP example explorer (File/Example projects) under Point cloud/branch.
 +
 +===== Preparation =====
 +
 +Before you start modeling with point clouds it is recommended to do two settings:
 +   - On the view3d in the menu view/navigators and select Point cloud handlers. This stops the 3d view from visiting every point for highlighting which improves the speed.
 +   - In the preferences, go on User Interface/view3d and set the resolution to 2. This will give the visitor the instruction to not visit any point but use the mesh collector. Which makes the visualization simpler and faster. 
 ===== Loading cloud ===== ===== Loading cloud =====
  
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 </code> </code>
  
-Even so this code moves the points to the right position, this is not enough for this tutorial. We need to move the connected meshes as well. To do so we use the structure of the imported CollectionCloud ([[groimp-platform:pointcloud|as described here]]). Following this structure we know that each mesh is connected to three points by decomposition edges and since we already moved the points we can use there information to create a new mesh. +Even so this code moves the points to the right position, this is not enough for this tutorial. We need to move the connected meshes as well. To do so we use the structure of the imported CollectionCloud ([[tutorials:pointcloud-io#as_graph|as described here]]). Following this structure we know that each mesh is connected to three points by decomposition edges and since we already moved the points we can use there information to create a new mesh. 
 <code java> <code java>
 void redraw_Mesh()[ void redraw_Mesh()[
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 ==== Manipulate the whole cloud ==== ==== Manipulate the whole cloud ====
  
-The imported cloud will behave similar to other subset of the graph in GroIMP.  Meaning if the point cloud is added after a transformation node or an object with an axis it will be moved, rotated or scaled regarding the previous nodes. (This also works with colors and other turtle attributes.) +The imported cloud will behave similar to other subset of the graph in GroIMP.  Meaning if the point cloud is added after a transformation node or an object with an axis, it will be moved, rotated or scaled regarding the previous nodes. (This also works with colors and other turtle attributes.)
- +
-The Rotation of a point cloud can be quite tricky depending on the the rotations in the measurement. A simple trick for the modelling is to add a ''Rotation'' Node above the cloud and select this node. Then it is possible to change the angels in the properties editor and afterwards transfer the values in to the RGG code.+
  
 +The rotation of a point cloud can be quite tricky depending on the the rotations in the measurement. A simple trick for the modelling is to add a ''Rotation'' Node above the cloud and select this node. Then it is possible to change the angels in the properties editor and afterwards transfer the values in to the RGG code.
  
 After the right rotation and scale is estimated, these values can be used on top of any turtle state.  After the right rotation and scale is estimated, these values can be used on top of any turtle state. 
-Therefore a leaf can be added in different angles using the same rotation. In the given example the model starts with simple "placeholder-leaves" that are already scaled and rotated to the wished location. Then with the loading of the point cloud these placeholders are replaced by not only the leaf but also the needed rotation estimated for the leaf.+Therefore a leaf can be added in different angles using the same rotation. In the given example the model starts with simple "placeholder-leaves" that are already scaled and rotated to the wished location. Then with the loading of the point cloud these placeholders are replaced by not only the leaf but also the needed rotation estimated for the leaf. In order to minimize computational power, a two step process is used, first the point cloud is loaded once and moved to 0,0,0 and than this moved cloud is cloned to replace the other "placeholder-leaves". 
  
  
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 public void loadPC() public void loadPC()
 {  {
- GraphObjectRef x = new GraphObjectRef("random_leaf3_mesh.ply");+ // load ply graph from  
 + Node x =Utils.loadNodeFromStream(getInputStreamFromProject("leaf.ply"),"model/x-grogra-pointcloud-graph+ply");
  [  [
-  r:RL(80)  m:M s:Scale Rotate Parallelogram==> r m s Rotate(-120,-50,-40) x.cloneGraph(); +  r:RL(80)  m:M s:Scale(10) Rotate Parallelogram ==> r m s Rotate(-120,-50,-40) x;
-  r:RL(-80)  m:M s:Scale Rotate Parallelogram==> r m s Rotate(270,-100,-50) x.cloneGraph();+
  ]  ]
- derive();+ derive(); // apply the changes to the graph
  move_toZero();  move_toZero();
 + [
 +  r:RL(80)  m:M s:Scale Rotate Parallelogram ==> r m s Rotate(-120,-50,-40) cloneSubgraph(x);
 +  r:RL(-80)  m:M s:Scale Rotate Parallelogram==> r m s Rotate(270,-100,-50) cloneSubgraph(x);
 + ]
 } }
 </code> </code>
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  ]  ]
  redraw_Mesh();  redraw_Mesh();
- (*Cloud*).setUpdate(true);+ (*Imp3dCloud*).setUpdate(true);
 } }
 </code> </code>
tutorials/using-mesh-clouds-as-organ.1731322429.txt.gz · Last modified: 2024/11/11 11:53 by tim