Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
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 |
ISSN | 1051-8215 |
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 |
DOI | 10.1109/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 | 是 |
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 | 否 |
引用统计 | |
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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