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Ancient Chinese architecture 3D preservation by merging ground and aerial point clouds
Gao, Xiang1,2; Shen, Shuhan1,2; Zhou, Yang1,2; Cui, Hainan1; Zhu, Lingjie1,2; Hu, Zhanyi1,2,3
2018-09-01
发表期刊ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
卷号143期号:144页码:72-84
文章类型Article
摘要Ancient Chinese architecture 3D digitalization and documentation is a challenging task for the image based modeling community due to its architectural complexity and structural delicacy. Currently, an effective approach to ancient Chinese architecture 3D reconstruction is to merge the two point clouds, separately obtained from ground and aerial images by the SIM technique. There are two understanding issues should be specially addressed: (1) it is difficult to find the point matches between the images from different sources due to their remarkable variations in viewpoint and scale; (2) due to the inevitable drift phenomenon in any SfM reconstruction process, the resulting two point clouds are no longer strictly related by a single similarity transformation as it should be theoretically. To address these two issues, a new point cloud merging method is proposed in this work. Our method has the following characteristics: (1) the images are matched by leveraging sparse mesh based image synthesis; (2) the putative point matches are filtered by geometrical consistency check and geometrical model verification; and (3) the two point clouds are merged via bundle adjustment by linking the ground-to-aerial tracks. Extensive experiments show that our method outperforms many of the state-of-the-art approaches in terms of ground-to-aerial image matching and point cloud merging.
关键词Image Based Modeling Ground-to-aerial Image Matching Ground-to-aerial Point Cloud Merging Digital Heritage
WOS标题词Science & Technology ; Physical Sciences ; Technology
DOI10.1016/j.isprsjprs.2018.04.023
关键词[WOS]OBJECT RECOGNITION ; RECONSTRUCTION ; ACCURATE ; FEATURES ; IMAGES ; SCENES
收录类别SCI
语种英语
项目资助者National Science Foundation of China (NSFC)(61333015 ; 61421004 ; 61632003 ; 61473292)
WOS研究方向Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:000442709900007
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21740
专题模式识别国家重点实验室_机器人视觉
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing 100049, Peoples R China
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Gao, Xiang,Shen, Shuhan,Zhou, Yang,et al. Ancient Chinese architecture 3D preservation by merging ground and aerial point clouds[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2018,143(144):72-84.
APA Gao, Xiang,Shen, Shuhan,Zhou, Yang,Cui, Hainan,Zhu, Lingjie,&Hu, Zhanyi.(2018).Ancient Chinese architecture 3D preservation by merging ground and aerial point clouds.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,143(144),72-84.
MLA Gao, Xiang,et al."Ancient Chinese architecture 3D preservation by merging ground and aerial point clouds".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 143.144(2018):72-84.
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