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Real-time indoor scene reconstruction with Manhattan assumption

文献类型：期刊论文

作者Dai, Qionghai1; Zhu, Zunjie4; Xu, Feng3; Yan, Chenggang4; Li, Ning4; Gong, Bingjian4; Zhang, Yongdong2
刊名MULTIMEDIA TOOLS AND APPLICATIONS
出版日期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
DOI10.1007/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
WOS记录号WOS:000457317500040
出版者SPRINGER
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.

入库方式： OAI收割

来源：计算技术研究所

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