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Shape reconstruction from raw point clouds using depth carving


Guggeri, Fabio; Scateni, Riccardo; Pajarola, Renato (2012). Shape reconstruction from raw point clouds using depth carving. In: Proceedings EUROGRAPHICS Short Papers, Cagliari, Italy, 13 May 2012 - 18 May 2012, 33-36.

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.

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.

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Additional indexing

Item Type:Conference or Workshop Item (Other), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:18 May 2012
Deposited On:29 Jan 2013 09:43
Last Modified:19 Sep 2017 17:40
Related URLs:http://www.eurographics2012.it/program_sp (Organisation)
Other Identification Number:merlin-id:7873

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