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

被引：0
作者：
Chen K. [1 ]
Lai Y.-K. [2 ]
Hu S.-M. [1 ,3 ]
机构：
[1] Tsinghua University, Beijing
[2] Cardiff University, Cardiff
[3] Department of Computer Science and Technology, Tsinghua University, Beijing
来源：
Computational Visual Media | 2015年 / 1卷 / 4期
基金：
中国国家自然科学基金; 英国科研创新办公室;
关键词：
3D indoor scenes; Geometric modeling; RGB-D camera; Semantic modeling; Survey;
D O I：
10.1007/s41095-015-0029-x
中图分类号：
学科分类号：
摘要：
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. © The Author(s) 2015.
引用
收藏
页码：267 / 278
页数：11
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