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Yilong Wu, Yingjie Chen, Rongyu Zhang, Zhenfei Cui, Xinyi Liu, Jiayi Zhang, Meizhen Wang and Yong Wu
With the proliferation and development of social media platforms, social media data have become an important source for acquiring spatiotemporal information on various urban events. Providing accurate spatiotemporal information for events contributes to ...
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Dan Liu, Dajun Li, Meizhen Wang and Zhiming Wang
In recent years, because of highly developed LiDAR (Light Detection and Ranging) technologies, there has been increasing demand for 3D change detection in urban monitoring, urban model updating, and disaster assessment. In order to improve the effectiven...
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Yuxia Bian, Meizhen Wang, Yongbin Chu, Zhihong Liu, Jun Chen, Zhiye Xia and Shuhong Fang
Computing the homography matrix using the known matching points is a key step in computer vision for image registration. In practice, the number, accuracy, and distribution of the known matching points can affect the uncertainty of the homography matrix....
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Yuxia Bian, Xuejun Liu, Meizhen Wang, Hongji Liu, Shuhong Fang and Liang Yu
Matching points are the direct data sources of the fundamental matrix, camera parameters, and point cloud calculation. Thus, their uncertainty has a direct influence on the quality of image-based 3D reconstruction and is dependent on the number, accuracy...
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Yujia Xie, Meizhen Wang, Xuejun Liu, Bo Mao and Feiyue Wang
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Meizhen Wang, Xuejun Liu, Yanan Zhang and Ziran Wang
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