Multi-Scale Point Cloud Analysis

Lejemble, Thibault; Mura, Claudio; Barthe, Loïc; Mellado,  Nicolas

Multi-Scale Point Cloud Analysis

Files

017-018.pdf (4.97 MB)

poster.pdf (7.49 MB)

Date

2019

Authors

Lejemble, Thibault
Mura, Claudio
Barthe, Loïc
Mellado, Nicolas

Publisher

The Eurographics Association

Abstract

Surfaces sampled with point clouds often exhibit multi-scale properties due to the high variation between their feature size. Traditional shape analysis techniques usually rely on geometric descriptors able to characterize a point and its close neighborhood at multiple scale using smoothing kernels of varying radii. We propose to add a spatial regularization to these point-wise descriptors in two different ways. The first groups similar points in regions that are structured in a hierarchical graph. The graph is then simplified and processed to extract pertinent regions. The second performs a spatial gradient descent in order to highlight stable parts of the surface. We show two experiments focusing on planar and anisotropic feature areas respectively.

        @inproceedings{10.2312:egp.20191047
,
booktitle = {Eurographics 2019 - Posters
},
editor = {Fusiello, Andrea and Bimber, Oliver
},
title = {{Multi-Scale Point Cloud Analysis
}},
author = {Lejemble, Thibault and 
Mura, Claudio and 
Barthe, Loïc and 
Mellado,  Nicolas
},
year = {2019
},
publisher = {The Eurographics Association
},
ISSN = {1017-4656
},
ISBN = {},
DOI = {10.2312/egp.20191047
}
}