Lidar data visualization - Revision history

Mol at 17:23, 11 February 2021

2021-02-11T17:23:20Z

← Older revision		Revision as of 20:23, 11 February 2021
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	[https://re.je/blog/2014-04-11-rendering-point-clouds-in-blender/ Rendering cloud data in Blender]		[https://re.je/blog/2014-04-11-rendering-point-clouds-in-blender/ Rendering cloud data in Blender]

			[[Category:Blender]]
			[[Category:Python]]
			[[Category:LiDar]]

2021-01-31T16:58:09Z

Render data in Blender

← Older revision		Revision as of 19:58, 31 January 2021
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	=== Render data in Blender ===		=== Render data in Blender ===

			[[File:BlenderRenderedGlassForest.png\|thumb\|The dark and glassy forest. ]]

			The translated and scaled ply data can be imported to blender. After importing I edited the mesh structure and removed the overlap bulk mesh, changed the material to glassy (Principled BSDF and Transomission to 1). I added a modifier Solidify, and changed the color. Use the cycles renderer and changes the Render Samples to 300, perhaps.

			https://www.youtube.com/watch?v=643CAA5Zh_8

	[https://re.je/blog/2014-04-11-rendering-point-clouds-in-blender/ Rendering cloud data in Blender]		[https://re.je/blog/2014-04-11-rendering-point-clouds-in-blender/ Rendering cloud data in Blender]

2021-01-31T16:37:55Z

Convert lsa to ply

← Older revision		Revision as of 19:37, 31 January 2021
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	[https://jblindsay.github.io/ghrg/WhiteboxTools/interpolate_lidar.html Interpolate lidar ]		[https://jblindsay.github.io/ghrg/WhiteboxTools/interpolate_lidar.html Interpolate lidar ]

	=== ~~Convert lsa to ply~~ ===		=== Poisson Depth ===

			The depth in Poisson reconstruction has an effect.

			[[File:PoissonDepths.png\|thumb\|The depth in Poisson.]]

	=== Render data in Blender ===		=== Render data in Blender ===

	[https://re.je/blog/2014-04-11-rendering-point-clouds-in-blender/ Rendering cloud data in Blender]		[https://re.je/blog/2014-04-11-rendering-point-clouds-in-blender/ Rendering cloud data in Blender]

2021-01-31T16:36:45Z

Lidar Cloud Data to Blender Mesh using Opend3D

← Older revision		Revision as of 19:36, 31 January 2021
Line 92:		Line 92:
	o3d.utility.DoubleVector([radius, radius * 2]))		o3d.utility.DoubleVector([radius, radius * 2]))
	</syntaxhighlight>		</syntaxhighlight>

			The mesh is located according to the GPS coordinates, and the size is similar. Thus, the mesh need to be translated and scaled before importing to the Blender.
			<syntaxhighlight lang="python">
			import numpy as np
			import pylas
			import open3d as o3d

			mesh = o3d.io.read_triangle_mesh("mesh_poisson_9.ply" )

			print( mesh )
			print(np.asarray(mesh.vertices))
			X = np.asarray(mesh.vertices)[0]
			print(X)
			#
			#
			#
			import copy
			mesh_mv = copy.deepcopy(mesh).translate([0,0,0], relative=False)
			mesh_mv.scale(0.00001, center=mesh_mv.get_center())

			print(f'Center of mesh: {mesh.get_center()}')
			print(f'Center of mesh_mv: {mesh_mv.get_center()}')

			o3d.io.write_triangle_mesh("mesh_poisson_9_ori.ply", mesh_mv )
			</syntaxhighlight>

2021-01-31T16:34:05Z

Lidar Cloud Data to Blender Mesh using Opend3D

@@ Line 73: / Line 73: @@
 cloud.estimate_normals()
-#Poisson Reconstruction
+#Mesh: Poisson Reconstruction
 mesh_poisson = o3d.geometry.TriangleMesh.create_from_point_cloud_poisson(
          cloud, depth=10, width=0, scale=1.1, linear_fit=False)[0]
@@ Line 79: / Line 79: @@
 o3d.io.write_triangle_mesh("mesh_poisson_10.ply", mesh_poisson )
 </syntaxhighlight>
 Visualize the ply mesh.
@@ Line 96: / Line 110: @@
 print( mesh )
 print(np.asarray(mesh.vertices))
-<syntaxhighlight>
+</syntaxhighlight>

2021-01-31T16:31:24Z

Lidar Cloud Data to Blender Mesh using Opend3D

← Older revision		Revision as of 19:31, 31 January 2021
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	cloud.points = o3d.utility.Vector3dVector(X)		cloud.points = o3d.utility.Vector3dVector(X)

	o3d.~~visualization~~.~~draw_geometries~~([~~cloud~~])		cloud.estimate_normals()

			#Poisson Reconstruction
			mesh_poisson = o3d.geometry.TriangleMesh.create_from_point_cloud_poisson(
			cloud, depth=10, width=0, scale=1.1, linear_fit=False)[0]

			o3d.io.write_triangle_mesh("mesh_poisson_10.ply", mesh_poisson )
	</syntaxhighlight>		</syntaxhighlight>

2021-01-31T16:30:06Z

Lidar Cloud Data to Blender Mesh using Opend3D

← Older revision		Revision as of 19:30, 31 January 2021
Line 73:		Line 73:
	o3d.visualization.draw_geometries([cloud])		o3d.visualization.draw_geometries([cloud])
	</syntaxhighlight>		</syntaxhighlight>

			Visualize the ply mesh.
			<syntaxhighlight lang="python">
			port numpy as np
			import pylas

			import open3d as o3d

			#Poisson Reconstruction
			mesh = o3d.io.read_triangle_mesh("mesh_poisson_10.ply" )
			mesh.compute_vertex_normals()
			mesh.paint_uniform_color([1, 0.706, 0])

			o3d.visualization.draw_geometries([mesh])

			print( mesh )
			print(np.asarray(mesh.vertices))
			<syntaxhighlight>

2021-01-31T16:28:27Z

Render data in Blender

← Older revision		Revision as of 19:28, 31 January 2021
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	[https://jblindsay.github.io/ghrg/WhiteboxTools/interpolate_lidar.html Interpolate lidar ]		[https://jblindsay.github.io/ghrg/WhiteboxTools/interpolate_lidar.html Interpolate lidar ]

			=== Convert lsa to ply ===


	=== Render data in Blender ===		=== Render data in Blender ===

	[https://re.je/blog/2014-04-11-rendering-point-clouds-in-blender/ Rendering cloud data in Blender]		[https://re.je/blog/2014-04-11-rendering-point-clouds-in-blender/ Rendering cloud data in Blender]

2021-01-30T13:43:46Z

Lidar Cloud Data to Blender Mesh using Opend3D

← Older revision		Revision as of 16:43, 30 January 2021
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	o3d.visualization.draw_geometries([cloud])		o3d.visualization.draw_geometries([cloud])
			</syntaxhighlight>


			<syntaxhighlight lang="python">
			cloud.estimate_normals()

			# estimate radius for rolling ball
			distances = cloud.compute_nearest_neighbor_distance()
			avg_dist = np.mean(distances)
			radius = 1.5 * avg_dist
			radius = 5*avg_dist

			mesh = o3d.geometry.TriangleMesh.create_from_point_cloud_ball_pivoting(
			cloud,
			o3d.utility.DoubleVector([radius, radius * 2]))


			o3d.visualization.draw_geometries([mesh])
	</syntaxhighlight>		</syntaxhighlight>

2021-01-30T13:10:07Z

Lidar Cloud Data to Blender Mesh using Opend3D

← Older revision		Revision as of 16:10, 30 January 2021
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	fname = '20150608_it-ren_nadir_densified_point_cloud_merged.las'		fname = '20150608_it-ren_nadir_densified_point_cloud_merged.las'

			import open3d as o3d
	import pylas		import pylas
	las = pylas.read( fname )		las = pylas.read( fname )