State‐of‐the‐art in Automatic 3D Reconstruction of Structured Indoor Environments

Creating high‐level structured 3D models of real‐world indoor scenes from captured data is a fundamental task which has important applications in many fields. Given the complexity and variability of interior environments and the need to cope with noisy and partial captured data, many open research p...

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Published in:	Computer graphics forum Vol. 39; no. 2; pp. 667 - 699
Main Authors:	Pintore, Giovanni, Mura, Claudio, Ganovelli, Fabio, Fuentes‐Perez, Lizeth, Pajarola, Renato, Gobbetti, Enrico
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.05.2020
Subjects:	Applied computing → Computer‐aided design CCS Concepts Computer graphics Computer vision Computer vision problems Computing methodologies → Computer graphics Image reconstruction Indoor environments Reconstruction Shape inference Shape modeling Three dimensional models
ISSN:	0167-7055, 1467-8659
Online Access:	Get full text
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Abstract	Creating high‐level structured 3D models of real‐world indoor scenes from captured data is a fundamental task which has important applications in many fields. Given the complexity and variability of interior environments and the need to cope with noisy and partial captured data, many open research problems remain, despite the substantial progress made in the past decade. In this survey, we provide an up‐to‐date integrative view of the field, bridging complementary views coming from computer graphics and computer vision. After providing a characterization of input sources, we define the structure of output models and the priors exploited to bridge the gap between imperfect sources and desired output. We then identify and discuss the main components of a structured reconstruction pipeline, and review how they are combined in scalable solutions working at the building level. We finally point out relevant research issues and analyze research trends.
AbstractList	Creating high‐level structured 3D models of real‐world indoor scenes from captured data is a fundamental task which has important applications in many fields. Given the complexity and variability of interior environments and the need to cope with noisy and partial captured data, many open research problems remain, despite the substantial progress made in the past decade. In this survey, we provide an up‐to‐date integrative view of the field, bridging complementary views coming from computer graphics and computer vision. After providing a characterization of input sources, we define the structure of output models and the priors exploited to bridge the gap between imperfect sources and desired output. We then identify and discuss the main components of a structured reconstruction pipeline, and review how they are combined in scalable solutions working at the building level. We finally point out relevant research issues and analyze research trends.
Author	Gobbetti, Enrico Pajarola, Renato Mura, Claudio Pintore, Giovanni Ganovelli, Fabio Fuentes‐Perez, Lizeth
Author_xml	– sequence: 1 givenname: Giovanni surname: Pintore fullname: Pintore, Giovanni email: gianni@crs4.it organization: CRS4 – sequence: 2 givenname: Claudio surname: Mura fullname: Mura, Claudio email: claudio@ifi.uzh.ch organization: University of Zurich – sequence: 3 givenname: Fabio surname: Ganovelli fullname: Ganovelli, Fabio email: fabio.ganovelli@gmail.com organization: ISTI CNR – sequence: 4 givenname: Lizeth surname: Fuentes‐Perez fullname: Fuentes‐Perez, Lizeth email: fuentes@ifi.uzh.ch organization: University of Zurich – sequence: 5 givenname: Renato surname: Pajarola fullname: Pajarola, Renato email: pajarola@ifi.uzh.ch organization: University of Zurich – sequence: 6 givenname: Enrico surname: Gobbetti fullname: Gobbetti, Enrico email: gobbetti@crs4.it organization: CRS4
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Copyright	2020 The Author(s) Computer Graphics Forum © 2020 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. 2020 The Eurographics Association and John Wiley & Sons Ltd.
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Snippet	Creating high‐level structured 3D models of real‐world indoor scenes from captured data is a fundamental task which has important applications in many fields....
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SubjectTerms	Applied computing → Computer‐aided design CCS Concepts Computer graphics Computer vision Computer vision problems Computing methodologies → Computer graphics Image reconstruction Indoor environments Reconstruction Shape inference Shape modeling Three dimensional models
Title	State‐of‐the‐art in Automatic 3D Reconstruction of Structured Indoor Environments
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