Shape Reconstruction from Raw Point Clouds using Depth Carving

Guggeri, Fabio; Scateni, Riccardo; Pajarola, Renato

Shape Reconstruction from Raw Point Clouds using Depth Carving

Files

033-036.pdf (339.34 KB)

Date

2012

Authors

Guggeri, Fabio
Scateni, Riccardo
Pajarola, Renato

Publisher

The Eurographics Association

Abstract

Shape reconstruction from raw point sets is a hot research topic. Point sets are increasingly available as primary input source, since low-cost acquisition methods are largely accessible nowadays, and these sets are more noisy than used to be. Standard reconstruction methods rely on normals or signed distance functions, and thus many methods aim at estimating these features. Human vision can however easily discern between the inside and the outside of a dense cloud even without the support of fancy measures. We propose, here, a perceptual method for estimating an indicator function for the shape, inspired from image-based methods. The resulting function nicely approximates the shape, is robust to noise, and can be used for direct isosurface extraction or as an input for other accurate reconstruction methods.

        @inproceedings{:10.2312/conf/EG2012/short/033-036
,
booktitle = {Eurographics 2012 - Short Papers
},
editor = {Carlos Andujar and Enrico Puppo
},
title = {{Shape Reconstruction from Raw Point Clouds using Depth Carving
}},
author = {Guggeri, Fabio and 
Scateni, Riccardo and 
Pajarola, Renato
},
year = {2012
},
publisher = {The Eurographics Association
},
ISSN = {1017-4656
},
ISBN = {},
DOI = {/10.2312/conf/EG2012/short/033-036
}
}