Compute geometric features - Revision history

Daniel at 21:57, 2 January 2025

2025-01-02T21:57:57Z

← Older revision		Revision as of 23:57, 2 January 2025
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	'''Notes:		'''Notes:
	* most of the above features are defined in "Contour detection in unstructured 3D point clouds", Hackel et al, 2016'''		* most of the above features are defined in [https://ethz.ch/content/dam/ethz/special-interest/baug/igp/photogrammetry-remote-sensing-dam/documents/pdf/timo-jan-cvpr2016.pdf "Contour detection in unstructured 3D point clouds", Hackel et al, 2016''']
	* curvature formulas computed from a local quadric function come from: "Three-dimensional surface curvature estimation using quadric surface patches", I. Douros and B. Buxton, University College London		* curvature formulas computed from a local quadric function come from: "Three-dimensional surface curvature estimation using quadric surface patches", I. Douros and B. Buxton, University College London
	* roughness computation algorithm is described in the old [[Roughness]] tool description page		* roughness computation algorithm is described in the old [[Roughness]] tool description page

Daniel: /* Description */

2024-01-07T11:28:26Z

Description

← Older revision		Revision as of 13:28, 7 January 2024
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	Geometric features that can be computed this way are:		Geometric features that can be computed this way are:
	* Roughness (equivalent to the former [[Roughness]] tool of v2.9 and below - in version 2.12, an option allows to compute signed roughness values)		* Roughness
			** equivalent to the former [[Roughness]] tool of v2.9 and below
			** in version 2.12, an option allows to compute signed roughness values based on a 'up vector'
	* Curvature (equivalent to the former [[Curvature]] tool of v2.9 and below)		* Curvature (equivalent to the former [[Curvature]] tool of v2.9 and below)
	** Mean curvature		** Mean curvature

Daniel at 16:29, 16 August 2023

2023-08-16T16:29:15Z

← Older revision		Revision as of 18:29, 16 August 2023
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	** PCA 1		** PCA 1
	** PCA 2		** PCA 2
	** PCA 3
	** Surface variation		** Surface variation
	** Sphericity		** Sphericity

Daniel: /* Procedure */

2022-01-13T10:16:22Z

Procedure

← Older revision		Revision as of 12:16, 13 January 2022
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	Notes:		Notes:
	- currently each feature is computed independently. The extraction of the local neighborhood is sadly not leveraged for all the features...		* currently each feature is computed independently. The extraction of the local neighborhood is sadly not leveraged for all the features...
	- since version 2.12, an option allows to define a 'up direction' to compute signed roughness values		* since version 2.12, an option allows to define a 'up direction' to compute signed roughness values

	== Output ==		== Output ==

	On success, CC will compute the selected features one by one and create a scalar field for each.		On success, CC will compute the selected features one by one and create a scalar field for each.

Daniel: /* Procedure */

2022-01-13T10:16:03Z

Procedure

← Older revision		Revision as of 12:16, 13 January 2022
Line 50:		Line 50:
	Then choose the geometric feature(s) that should be computed (several features can be selected/checked at the same time).		Then choose the geometric feature(s) that should be computed (several features can be selected/checked at the same time).

	~~Note~~: currently each feature is computed independently. The extraction of the local neighborhood is sadly not leveraged for all the features...		Notes:
			- currently each feature is computed independently. The extraction of the local neighborhood is sadly not leveraged for all the features...
			- since version 2.12, an option allows to define a 'up direction' to compute signed roughness values

	== Output ==		== Output ==

	On success, CC will compute the selected features one by one and create a scalar field for each.		On success, CC will compute the selected features one by one and create a scalar field for each.

Daniel: /* Description */

2022-01-13T10:15:21Z

Description

← Older revision		Revision as of 12:15, 13 January 2022
Line 6:		Line 6:

	Geometric features that can be computed this way are:		Geometric features that can be computed this way are:
	* Roughness (equivalent to the former [[Roughness]] tool of v2.9 and below)		* Roughness (equivalent to the former [[Roughness]] tool of v2.9 and below - in version 2.12, an option allows to compute signed roughness values)
	* Curvature (equivalent to the former [[Curvature]] tool of v2.9 and below)		* Curvature (equivalent to the former [[Curvature]] tool of v2.9 and below)
	** Mean curvature		** Mean curvature

Daniel: /* Description */

2020-11-23T08:28:00Z

Description

← Older revision		Revision as of 10:28, 23 November 2020
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	** 3rd eigenvalue		** 3rd eigenvalue

	'''~~Note~~: most of the above features are defined in "Contour detection in unstructured 3D point clouds", Hackel et al, 2016'''		'''Notes:
			* most of the above features are defined in "Contour detection in unstructured 3D point clouds", Hackel et al, 2016'''
			* curvature formulas computed from a local quadric function come from: "Three-dimensional surface curvature estimation using quadric surface patches", I. Douros and B. Buxton, University College London
			* roughness computation algorithm is described in the old [[Roughness]] tool description page

	= Procedure =		= Procedure =

Daniel: Created page with "= Menu = This tool is accessible via the 'Tools > Other > Compute geometric features' menu. = Description = This tool allows to computation several geometric features on one..."

2020-07-29T19:37:56Z

Created page with "= Menu = This tool is accessible via the 'Tools > Other > Compute geometric features' menu. = Description = This tool allows to computation several geometric features on one..."

New page

= Menu =
This tool is accessible via the 'Tools > Other > Compute geometric features' menu.

= Description =
This tool allows to computation several geometric features on one or several point clouds (in a batch).

Geometric features that can be computed this way are:
* Roughness (equivalent to the former [[Roughness]] tool of v2.9 and below)
* Curvature (equivalent to the former [[Curvature]] tool of v2.9 and below)
** Mean curvature
** Gaussian curvature
** Normal change rate
* Density (equivalent to the former [[Density]] tool of v2.9 and below)
** Number of neighbors
** Surface density
** Volume density
* Moment
** 1st order moment
* Features
** Sum of eigenvalues
** Omnivariance
** Eigenentropy
** Anisotropy
** Planarity
** Linearity
** PCA 1
** PCA 2
** PCA 3
** Surface variation
** Sphericity
** Verticality
** 1st eigenvalue
** 2nd eigenvalue
** 3rd eigenvalue

'''Note: most of the above features are defined in "Contour detection in unstructured 3D point clouds", Hackel et al, 2016'''

= Procedure =

Select one or several point clouds then launch this tool.

A dialog will appear:
[[Image:Compute_geometric_features.jpg|center]]

Then set the 'Local neighborhood radius' on which the selected features will be computed.

Then choose the geometric feature(s) that should be computed (several features can be selected/checked at the same time).

Note: currently each feature is computed independently. The extraction of the local neighborhood is sadly not leveraged for all the features...

== Output ==

On success, CC will compute the selected features one by one and create a scalar field for each.