CORC

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CORC

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Adaptive weighted motion averaging with low-rank sparse for robust multi-view registration 期刊论文
Neurocomputing, 2020, 卷号: 413, 页码: 230-239
作者:  Li, Zhongyu;  Liu, Jiamin;  Tian, Zhiqiang;  Zhu, Jihua;  Li, Ce
收藏  |  浏览/下载：5/0  |  提交时间：2020/11/14
Multiple point sets registration based on Expectation Maximization algorithm 期刊论文
COMPUTERS & ELECTRICAL ENGINEERING, 2018, 卷号: 70, 页码: 1-11
作者:  Zhou, Yiqiong;  Xu, Siyu;  Jin, Congcong;  Guo, Ziyi
收藏  |  浏览/下载：4/0  |  提交时间：2019/11/19
Weighted motion averaging for the registration of multi-view range scans 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2018, 卷号: 77, 页码: 10651-10668
作者:  Guo, Rui;  Zhu, Jihua;  Li, Yaochen;  Chen, Dapeng;  Li, Zhongyu
收藏  |  浏览/下载：5/0  |  提交时间：2019/11/26
Automatic multi-view registration of unordered range scans without feature extraction 期刊论文
NEUROCOMPUTING, 2016, 卷号: 171, 期号: [db:dc_citation_issue], 页码: 1444-1453
作者:  Zhu, Jihua;  Zhu, Li;  Li, Zhongyu;  Li, Chen;  Cui, Jingru
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/02
Automatic registration of large-scale urban scene point clouds based on semantic feature points 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2016, 卷号: 113
作者:  Yang, Bisheng;  Dong, Zhen;  Liang, Fuxun;  Liu, Yuan
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/05
Improved techniques for multi-view registration with motion averaging 会议论文
作者:  Li, Zhongyu;  Zhu, Jihua;  Lan, Ke;  Li, Chen;  Fang, Chaowei
收藏  |  浏览/下载：5/0  |  提交时间：2019/12/02
Automatic Registration of Multi-view Terrestrial Laser Scanning Point Clouds in Complex Urban Environments 会议论文
作者:  Yang, Bisheng;  Dong, Zhen;  Dai, Wenxia;  Liu, Yuan
收藏  |  浏览/下载：6/0  |  提交时间：2019/12/05
Automatic registration of UAV-borne sequent images and LiDAR data 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 卷号: 101
作者:  Yang, Bisheng;  Chen, Chi
收藏  |  浏览/下载：7/0  |  提交时间：2019/12/05
An effective way to eliminate the accumulative error of multi-view registration 会议论文
作者:  Shao, Wei;  Liu, Chong;  Le, Jing;  Wu, Ying;  Yang, Yuxiang
收藏  |  浏览/下载：6/0  |  提交时间：2019/12/02
A new accurate and fast algorithm of sub-pixel image registration (EI CONFERENCE) 会议论文
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
Lu J.; He B.
收藏  |  浏览/下载：17/0  |  提交时间：2013/03/25
In terms of large field view and multi-channel TDICCD remote sensing images  previous interpolation methods and curve fitting methods are not able to achieve the high accuracy and fast registration  and their noise immunity and robustness is not high. For that  this paper presents a more accurate and faster method  iterative pixel interpolation and surface fitting method. Firstly  the method uses the some overlapping pixels between multi-channel images. Secondly  the proposed technique  which is based on the maximization of the correlation coefficient function  combines an efficient pixel-moving interpolation scheme with surface fitting  which makes use of accurate interpolation calculation and fast surface fitting in the iterative process. Finally  the accuracy and speed of the algorithm is evaluated by sub-pixel registration of multi-channel images and comparison with other sorts of efficient methods. The experiment results show that the accuracy of the method reaches 0.01 pixels and it is 3 times faster than the interpolation method. In the registration of large field view and multi-channel TDICCD images  the method is accurate and fast  with greatly high stability  noise immunity and robustness. 2010 IEEE.  

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