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Review Article | Open Access

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

Tsinghua University, Beijing 100084, China.
Cardiff University, Cardiff, CF24 3AA, Wales, UK.
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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.

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Computational Visual Media
Pages 267-278

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Cite this article:
Chen K, Lai Y-K, Hu S-M. 3D indoor scene modeling from RGB-D data: a survey. Computational Visual Media, 2015, 1(4): 267-278. https://doi.org/10.1007/s41095-015-0029-x

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Received: 09 October 2015
Revised: 09 October 2015
Accepted: 19 November 2015
Published: 04 December 2015
© The Author(s) 2015

This article is published with open access at Springerlink.com

This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

Other papers from this open access journal are available free of charge from http://www.springer.com/journal/41095. To submit a manuscript, please go to https://www.editorialmanager.com/cvmj.