LabVIEW
Indexing out, rearranging array of clusters to show 3d surface
Hi Don and Ben!
Thanks to the replies. Actually I have discovered the potential (and complexity) of LV 3D graphs during Don's challenging question. My problem is related to my caving activity : I would like to visualize a rather large cave (about 20 km galeries) and the topographical ground surface above. That would facilitate the search for new connections/entrances.
During the last WE, I have figured out how to build a 3D representation of ground surface, and I have now a nice model of my favourite play ground that I can rotate/zoom in any direction. Not as impressive as a low altitude flight, but sharp enough to get a new perception of reality.
(By the way, the 3D graph handles easily 10000 points. That should interest Don !).
Now, my ambition is to wrap the topographical map details on the 3D surface, not only the colors (I "discovered" the custom color palette, in association with the w coordinate on sunday - gave interesting results) but also the roads, names and so on. If my 3D surface was defined as a bitmap surface, that would not be a big issue, since I could easily associate a specific color level to each point red on the original topographic map. However, the 3D surface here is only defined as a mesh, and I only have 10000 nodes, while the overall picture area is about 5 megapixels. I can't rely on interpolated colors, since that would produce a poor result : all the mesh points belong to altitude curves (that's the easiest way to generate them, a rather tedious process !) and appear in dark yellow color, whatever the background (forest, streams, paths...). Means that color interpolation would produce an uniformly yellow picture !
I'm not sure if these explanations are understandable (sorry for the french accent :)).
Any comment will be welcomed, and I would even appreciate help to reshape this question before posting it to the forum.
Thanks to the replies. Actually I have discovered the potential (and complexity) of LV 3D graphs during Don's challenging question. My problem is related to my caving activity : I would like to visualize a rather large cave (about 20 km galeries) and the topographical ground surface above. That would facilitate the search for new connections/entrances.
During the last WE, I have figured out how to build a 3D representation of ground surface, and I have now a nice model of my favourite play ground that I can rotate/zoom in any direction. Not as impressive as a low altitude flight, but sharp enough to get a new perception of reality.
(By the way, the 3D graph handles easily 10000 points. That should interest Don !).
Now, my ambition is to wrap the topographical map details on the 3D surface, not only the colors (I "discovered" the custom color palette, in association with the w coordinate on sunday - gave interesting results) but also the roads, names and so on. If my 3D surface was defined as a bitmap surface, that would not be a big issue, since I could easily associate a specific color level to each point red on the original topographic map. However, the 3D surface here is only defined as a mesh, and I only have 10000 nodes, while the overall picture area is about 5 megapixels. I can't rely on interpolated colors, since that would produce a poor result : all the mesh points belong to altitude curves (that's the easiest way to generate them, a rather tedious process !) and appear in dark yellow color, whatever the background (forest, streams, paths...). Means that color interpolation would produce an uniformly yellow picture !
I'm not sure if these explanations are understandable (sorry for the french accent :)).
Any comment will be welcomed, and I would even appreciate help to reshape this question before posting it to the forum.
The w vector is a way of adding a 4th dimension to 3D graphs.
The geographical map is a good example. X and Y are the geographical coordinates (ie latitude and longitude), while Z is the altitude. W is the map color, and you can affect a specific color to a given point.
Forget for a while the altitude colors that were used at school (time ago) to help us to visualize 2D maps as 3D, with valleys in green, mountains in brown and peak tops in white. There, the W vector would simply correspond to the Z coordinate.
Think in another direction : one summit (X1, Y1, Z1) is rocky, while another one, at the same altitude (X2, Y2, Z1) is covered with meadows. Paint one in brown, the other in green. ie, set W1 to brown ($B46500) and W2 to green ($00FF00).
If you don't like the mountain ranges, you can develop a similar example with the sea side, colorizing the water in shades of green and blue, and the beach in light yellow... all at the same zero altitude :).
The geographical map is a good example. X and Y are the geographical coordinates (ie latitude and longitude), while Z is the altitude. W is the map color, and you can affect a specific color to a given point.
Forget for a while the altitude colors that were used at school (time ago) to help us to visualize 2D maps as 3D, with valleys in green, mountains in brown and peak tops in white. There, the W vector would simply correspond to the Z coordinate.
Think in another direction : one summit (X1, Y1, Z1) is rocky, while another one, at the same altitude (X2, Y2, Z1) is covered with meadows. Paint one in brown, the other in green. ie, set W1 to brown ($B46500) and W2 to green ($00FF00).
If you don't like the mountain ranges, you can develop a similar example with the sea side, colorizing the water in shades of green and blue, and the beach in light yellow... all at the same zero altitude :).
