3D indoor scene modeling from RGB-D data: a survey

Chen, Kang, Lai, Yukun ORCID: https://orcid.org/0000-0002-2094-5680 and Hu, Shi-Min ORCID: https://orcid.org/0000-0001-7507-6542 2015. 3D indoor scene modeling from RGB-D data: a survey. Computational Visual Media 1 (4) , pp. 267-278. 10.1007/s41095-015-0029-x

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Abstract

3D scene modeling has long been a fundamental problem in computer graphics and computer vision. With the popularity of consumer-level RGB-D cameras, there is a growing interest in digitizing real-world indoor 3D scenes. However, modeling indoor 3D scenes remains a challenging problem because of the complex structure of interior objects and poor quality of RGB-D data acquired by consumer-level sensors. Various methods have been proposed to tackle these challenges. In this survey, we provide an overview of recent advances in indoor scene modeling techniques, as well as public datasets and code libraries which can facilitate experiments and evaluation.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	Springer
ISSN:	2096-0433
Date of First Compliant Deposit:	30 March 2016
Date of Acceptance:	19 November 2015
Last Modified:	06 May 2023 04:52
URI:	https://orca.cardiff.ac.uk/id/eprint/85645

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