CASIA OpenIR  > 模式识别国家重点实验室  > 机器人视觉
Complete Scene Reconstruction by Merging Images and Laser Scans
Xiang Gao; Shuhan Shen; Lingjie Zhu; Tianxin Shi; Zhiheng Wang; Zhanyi Hu
Source PublicationIEEE Transactions on Circuits and Systems for Video Technology
ISSN1051-8215
2019
VolumexIssue:xPages:1-13
Corresponding AuthorShen, Shuhan(shshen@nlpr.ia.ac.cn)
Subtype期刊论文
Abstract

Image based modeling and laser scanning are two commonly used approaches in large-scale architectural scene reconstruction nowadays. In order to generate a complete scene reconstruction, an effective way is to completely cover the scene using ground and aerial images, supplemented by laser scanning on certain regions with low textures and complicated structures. Thus, the key issue is to accurately calibrate cameras and register laser scans in a unified framework. To this end, we proposed a three-step pipeline for complete scene reconstruction by merging images and laser scans. First, images are captured around the architecture in a multi-view and multi-scale way and are feed into a structure-from-motion (SfM) pipeline to generate SfM points. Then, based on the SfM result, the laser scanning locations are automatically planned by considering textural richness, structural complexity of the scene and spatial layout of the laser scans. Finally, the images and laser scans are accurately merged in a coarse-to-fine manner. Experimental evaluations on two ancient Chinese architecture datasets demonstrate the effectiveness of our proposed complete scene reconstruction pipeline.

KeywordComplete Scene Reconstruction Image And Laser Scan Merging Laser Scanning Location Planning Image Synthesis And Matching
DOI10.1109/TCSVT.2019.2943892
WOS KeywordPOINT CLOUDS ; 3D ; REGISTRATION ; ACCURATE ; STEREO
Indexed BySCI
Language英语
Funding ProjectNational Science Foundation of China (NSFC)[61632003] ; National Science Foundation of China (NSFC)[61873265] ; Henan Science and Technology Innovation Outstanding Youth Program[184100510009] ; Henan University Scientific and Technological Innovation Team Support Program[19IRTSTHN012]
Funding OrganizationNational Science Foundation of China (NSFC) ; Henan Science and Technology Innovation Outstanding Youth Program ; Henan University Scientific and Technological Innovation Team Support Program
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000576289700031
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/26083
Collection模式识别国家重点实验室_机器人视觉
Corresponding AuthorShuhan Shen
Recommended Citation
GB/T 7714
Xiang Gao,Shuhan Shen,Lingjie Zhu,et al. Complete Scene Reconstruction by Merging Images and Laser Scans[J]. IEEE Transactions on Circuits and Systems for Video Technology,2019,x(x):1-13.
APA Xiang Gao,Shuhan Shen,Lingjie Zhu,Tianxin Shi,Zhiheng Wang,&Zhanyi Hu.(2019).Complete Scene Reconstruction by Merging Images and Laser Scans.IEEE Transactions on Circuits and Systems for Video Technology,x(x),1-13.
MLA Xiang Gao,et al."Complete Scene Reconstruction by Merging Images and Laser Scans".IEEE Transactions on Circuits and Systems for Video Technology x.x(2019):1-13.
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