HoughNormals (plugin): Difference between revisions
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= Introduction = | = Introduction = | ||
This plugin applies to a point cloud the algorithm "Deep Learning for Robust Normal Estimation in Unstructured Point Clouds" by Alexandre Boulch and Renaud Marlet, Symposium of Geometry Processing 2016, Computer Graphics Forum (see [https://github.com/aboulch/normals_Hough]). | This plugin applies to a point cloud the algorithm "Deep Learning for Robust Normal Estimation in Unstructured Point Clouds" by Alexandre Boulch and Renaud Marlet, Symposium of Geometry Processing 2016, Computer Graphics Forum (see [https://github.com/aboulch/normals_Hough] or [https://github.com/aboulch/normals_HoughCNN]). | ||
[[File:QHoughNormals_principle.png|center|600px]] | [[File:QHoughNormals_principle.png|center|600px]] | ||
The algorithm is called 'as is'. Users should refer to the article for the parameters (slides are [http://imagine.enpc.fr/~marletr/publi/SGP-2016-Boulch-Marlet_slides.pdf here]). | The algorithm is called 'as is'. Users should refer to the article for the parameters (slides are [http://imagine.enpc.fr/~marletr/publi/SGP-2016-Boulch-Marlet_slides.pdf here]). | ||
Latest revision as of 17:35, 6 August 2026
Introduction
This plugin applies to a point cloud the algorithm "Deep Learning for Robust Normal Estimation in Unstructured Point Clouds" by Alexandre Boulch and Renaud Marlet, Symposium of Geometry Processing 2016, Computer Graphics Forum (see [1] or [2]).
The algorithm is called 'as is'. Users should refer to the article for the parameters (slides are here).