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Complete Scene Reconstruction by Merging Images and Laser Scans
Gao Xiang; Shen Shuhan; Zhu Lingjie; Shi Tianxin; Wang Zhiheng; Hu Zhanyi
发表期刊IEEE Transactions on Circuits and Systems for Video Technology
ISSN1051-8215
2020
卷号30期号:10页码:3688-3701
文章类型期刊论文
摘要

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.

关键词Complete Scene Reconstruction Image And Laser Scan Merging Laser Scanning Location Planning Image Synthesis And Matching
DOI10.1109/TCSVT.2019.2943892
关键词[WOS]POINT CLOUDS ; 3D ; REGISTRATION ; ACCURATE ; STEREO
收录类别SCI
语种英语
资助项目National 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]
项目资助者National Science Foundation of China (NSFC) ; Henan Science and Technology Innovation Outstanding Youth Program ; Henan University Scientific and Technological Innovation Team Support Program
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
WOS记录号WOS:000576289700031
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
是否为代表性论文
七大方向——子方向分类三维视觉
国重实验室规划方向分类环境多维感知
是否有论文关联数据集需要存交
引用统计
被引频次:18[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/26083
专题模式识别国家重点实验室_机器人视觉
中科院工业视觉智能装备工程实验室
通讯作者Shen Shuhan
推荐引用方式
GB/T 7714
Gao Xiang,Shen Shuhan,Zhu Lingjie,et al. Complete Scene Reconstruction by Merging Images and Laser Scans[J]. IEEE Transactions on Circuits and Systems for Video Technology,2020,30(10):3688-3701.
APA Gao Xiang,Shen Shuhan,Zhu Lingjie,Shi Tianxin,Wang Zhiheng,&Hu Zhanyi.(2020).Complete Scene Reconstruction by Merging Images and Laser Scans.IEEE Transactions on Circuits and Systems for Video Technology,30(10),3688-3701.
MLA Gao Xiang,et al."Complete Scene Reconstruction by Merging Images and Laser Scans".IEEE Transactions on Circuits and Systems for Video Technology 30.10(2020):3688-3701.
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