3D Reconstruction of Indoor Scenes via Image Registration

doi:10.1007/s11063-018-9781-0

CORC > 兰州理工大学 > 兰州理工大学 > 新能源学院

	3D Reconstruction of Indoor Scenes via Image Registration
	Li, Ce 1; Lu, Bing 1; Zhang, Yachao 1; Liu, Hao 1; Qu, Yanyun 2
刊名	NEURAL PROCESSING LETTERS
	2018-12
卷号	48 期号:3 页码:1281-1304
关键词	Indoor scene 3D reconstruction Relative coordinate ICP Top and bottom registration 3D SLAM
ISSN号	1370-4621
DOI	10.1007/s11063-018-9781-0
英文摘要	With the development of computer vision technologies, 3D reconstruction has become a hotspot. At present, 3D reconstruction relies heavily on expensive equipment and has poor real-time performance. In this paper, we aim at solving the problem of 3D reconstruction of an indoor scene with large vertical span. In this paper, we propose a novel approach for 3D reconstruction of indoor scenes with only a Kinect. Firstly, this method uses a Kinect sensor to get color images and depth images of an indoor scene. Secondly, the combination of scale-invariant feature transform and random sample consensus algorithm is used to determine the transformation matrix of adjacent frames, which can be seen as the initial value of iterative closest point (ICP). Thirdly, we establish the relative coordinate relation between pair-wise frames which are the initial point cloud data by using ICP. Finally, we achieve the 3D visual reconstruction model of indoor scene by the top-down image registration of point cloud data. This approach not only mitigates the sensor perspective restriction and achieves the indoor scene reconstruction of large vertical span, but also develops the fast algorithm of indoor scene reconstruction with large amount of cloud data. The experimental results show that the proposed algorithm has better accuracy, better reconstruction effect, and less running time for point cloud registration. In addition, the proposed method has great potential applied to 3D simultaneous location and mapping.
资助项目	Gansu Province Basic Research Innovation Group Project[1506RJIA031]
WOS研究方向	Computer Science
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000451460500002
状态	已发表
内容类型	期刊论文
源URL	[http://119.78.100.223/handle/2XXMBERH/32301]
专题	新能源学院电气工程与信息工程学院
通讯作者	Qu, Yanyun
作者单位	1.Lanzhou Univ Technol, Lanzhou, Gansu, Peoples R China 2.Xiamen Univ, Xiamen, Fujian, Peoples R China
推荐引用方式 GB/T 7714	Li, Ce,Lu, Bing,Zhang, Yachao,et al. 3D Reconstruction of Indoor Scenes via Image Registration[J]. NEURAL PROCESSING LETTERS,2018,48(3):1281-1304.
APA	Li, Ce,Lu, Bing,Zhang, Yachao,Liu, Hao,&Qu, Yanyun.(2018).3D Reconstruction of Indoor Scenes via Image Registration.NEURAL PROCESSING LETTERS,48(3),1281-1304.
MLA	Li, Ce,et al."3D Reconstruction of Indoor Scenes via Image Registration".NEURAL PROCESSING LETTERS 48.3(2018):1281-1304.