Today's 3D scanning pipelines can be classified into two overarching categories: ofine, high accuracy methods that rely on global optimization to reconstruct complex scenes with hundreds of millions of samples, and online methods that produce real-time but low-quality output, usually from structure-from-motion or depth sensors. The method proposed in this paper is the first to combine the benefits of both approaches, supporting online reconstruction of scenes with hundreds of millions of samples from high-resolution sensing modalities such as structured light or laser scanners. The key property of our algorithm is that it sidesteps the signed-distance computation of classical reconstruction techniques in favor of direct filtering, parametrization, and mesh and texture extraction. All of these steps can be realized using only weak notions of spatial neighborhoods, which allows for an implementation that scales approximately linearly with the size of each dataset that is integrated into a partial reconstruction. Combined, these algorithmic differences enable a drastically more efficient output-driven interactive scanning and reconstruction workflow, where the user is able to see the final quality field-aligned textured mesh during the entirety of the scanning procedure. Holes or parts with registration problems are displayed in real-time to the user and can be easily resolved by adding further localized scans, or by adjusting the input point cloud using our interactive editing tools with immediate visual feedback on the output mesh. We demonstrate the effectiveness of our algorithm in conjunction with a state-of-the-art structured light scanner and optical tracking system and test it on a large variety of challenging models.

Field-aligned online surface reconstruction / N. Schertler, M. Tarini, W. Jakob, M. Kazhdan, S. Gumhold, D. Panozzo. - In: ACM TRANSACTIONS ON GRAPHICS. - ISSN 0730-0301. - 36:4(2017 Jul), pp. 77.1-77.13. ((Intervento presentato al convegno ACM SIGGRAPH tenutosi a Los Angeles (CAL. USA) nel 2017.

Field-aligned online surface reconstruction

M. Tarini
Secondo
;
2017

Abstract

Today's 3D scanning pipelines can be classified into two overarching categories: ofine, high accuracy methods that rely on global optimization to reconstruct complex scenes with hundreds of millions of samples, and online methods that produce real-time but low-quality output, usually from structure-from-motion or depth sensors. The method proposed in this paper is the first to combine the benefits of both approaches, supporting online reconstruction of scenes with hundreds of millions of samples from high-resolution sensing modalities such as structured light or laser scanners. The key property of our algorithm is that it sidesteps the signed-distance computation of classical reconstruction techniques in favor of direct filtering, parametrization, and mesh and texture extraction. All of these steps can be realized using only weak notions of spatial neighborhoods, which allows for an implementation that scales approximately linearly with the size of each dataset that is integrated into a partial reconstruction. Combined, these algorithmic differences enable a drastically more efficient output-driven interactive scanning and reconstruction workflow, where the user is able to see the final quality field-aligned textured mesh during the entirety of the scanning procedure. Holes or parts with registration problems are displayed in real-time to the user and can be easily resolved by adding further localized scans, or by adjusting the input point cloud using our interactive editing tools with immediate visual feedback on the output mesh. We demonstrate the effectiveness of our algorithm in conjunction with a state-of-the-art structured light scanner and optical tracking system and test it on a large variety of challenging models.
English
parameterization; surface reconstruction; computer graphics and computer-aided design
Settore INF/01 - Informatica
Articolo
Esperti anonimi
Pubblicazione scientifica
   DSurf: Scalable Computational Methods for 3D Printing Surfaces
   MINISTERO DELL'ISTRUZIONE E DEL MERITO
   2015B8TRFM_003 - PE6
lug-2017
Association for Computing Machinery
36
4
77
1
13
13
Pubblicato
Periodico con rilevanza internazionale
ACM SIGGRAPH
Los Angeles (CAL. USA)
2017
Convegno internazionale
Intervento inviato
https://dl.acm.org/doi/10.1145/3072959.3073635
scopus
crossref
Aderisco
info:eu-repo/semantics/article
Field-aligned online surface reconstruction / N. Schertler, M. Tarini, W. Jakob, M. Kazhdan, S. Gumhold, D. Panozzo. - In: ACM TRANSACTIONS ON GRAPHICS. - ISSN 0730-0301. - 36:4(2017 Jul), pp. 77.1-77.13. ((Intervento presentato al convegno ACM SIGGRAPH tenutosi a Los Angeles (CAL. USA) nel 2017.
open
Prodotti della ricerca::01 - Articolo su periodico
6
262
Article (author)
si
N. Schertler, M. Tarini, W. Jakob, M. Kazhdan, S. Gumhold, D. Panozzo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/553608
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