Real-time indoor scene reconstruction with Manhattan assumption

doi:10.1007/s11042-017-5519-7

CORC > 计算技术研究所 > 中国科学院计算技术研究所 > 中国科学院计算技术研究所期刊论文 > 英文

	Real-time indoor scene reconstruction with Manhattan assumption
	Dai, Qionghai 1; Zhu, Zunjie 4; Xu, Feng 3; Yan, Chenggang 4; Li, Ning 4; Gong, Bingjian 4; Zhang, Yongdong 2
刊名	MULTIMEDIA TOOLS AND APPLICATIONS
	2019
卷号	78 期号:1 页码:713-726
关键词	SLAM Tracking Depth sensor Real-Time AR
ISSN号	1380-7501
DOI	10.1007/s11042-017-5519-7
英文摘要	This paper presents a novel end-to-end system for real-time indoor scene reconstruction, which outperforms traditional image feature point-based method and dense geometry correspondence-based method in handling indoor scenes with less texture and geometry features. In our method, we fully explore the Manhattan assumption, i.e. scenes are majorly consisted with planar surfaces with orthogonal normal directions. Given an input depth frame, we first extract dominant axes coordinates via principle component analysis which involves the orthogonal prior and reduce the influence of noise. Then we calculate the coordinates of dominant planes (such as walls, floor and ceiling) in the coordinates using mean shift. Finally, we compute the camera orientation and reconstruct the scene by proposing a fast scheme based on matching the dominant axes and planes to the previous frame. We have tested our approach on several datasets and demonstrated that it outperforms some well known existing methods in these experiments. The performance of our method is also able to meet the requirement of real-time with an unoptimized CPU implementation.
资助项目	National Nature Science Foundation of China[61671196] ; National Nature Science Foundation of China[61327902] ; National Nature Science Foundation of China[61671268] ; National Nature Science Foundation of China[61727808] ; Zhejiang Province Nature Science Foundation of China[LR17F030006]
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000457317500040
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/3434]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Xu, Feng; Yan, Chenggang
作者单位	1.Tsinghua Univ, Dept Automat, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 3.Tsinghua Univ, Sch Software, Beijing, Peoples R China 4.Hangzhou Dianzi Univ, Inst Informat & Control, Hangzhou, Zhejiang, Peoples R China
推荐引用方式 GB/T 7714	Dai, Qionghai,Zhu, Zunjie,Xu, Feng,et al. Real-time indoor scene reconstruction with Manhattan assumption[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2019,78(1):713-726.
APA	Dai, Qionghai.,Zhu, Zunjie.,Xu, Feng.,Yan, Chenggang.,Li, Ning.,...&Zhang, Yongdong.(2019).Real-time indoor scene reconstruction with Manhattan assumption.MULTIMEDIA TOOLS AND APPLICATIONS,78(1),713-726.
MLA	Dai, Qionghai,et al."Real-time indoor scene reconstruction with Manhattan assumption".MULTIMEDIA TOOLS AND APPLICATIONS 78.1(2019):713-726.