中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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New strategies for developing GPU accelerated disk-based discontinuous deformation analysis for large-scale modeling 期刊论文  OAI收割
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2023, 卷号: -, 期号: -, 页码: -
作者:  
Liu, Feng;  Chen, Zediao;  Xia, Kaiwen;  Xu, Dongdong;  Yang, Yongtao
  |  收藏  |  浏览/下载:28/0  |  提交时间:2023/08/02
Sparse Data Driven Mesh Deformation 期刊论文  OAI收割
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2021, 卷号: 27, 期号: 3, 页码: 2085-2100
作者:  
Gao, Lin;  Lai, Yu-Kun;  Yang, Jie;  Zhang, Ling-Xiao;  Xia, Shihong
  |  收藏  |  浏览/下载:47/0  |  提交时间:2021/12/01
Yanshanian Orogeny During North China's Drifting Away From the Trench: Implications of Numerical Models 期刊论文  OAI收割
TECTONICS, 2020, 卷号: 39, 期号: 12, 页码: 22
作者:  
Yang, Ting;  Liu, Shaofeng;  Guo, Peng;  Leng, Wei;  Yang, An
  |  收藏  |  浏览/下载:130/0  |  提交时间:2021/04/21
Deep-seated large-scale toppling failure in metamorphic rocks: a case study of the Erguxi slope in southwest China 期刊论文  OAI收割
Journal of Mountain Science, 2016, 卷号: 13, 期号: 12, 页码: 2094-2110
作者:  
LIU Ming;  LIU Fang-zhou;  HUANG Run-qiu;  PEI Xiang-jun
收藏  |  浏览/下载:268/0  |  提交时间:2016/11/30
A parallel algorithm for medical images registration based on B-splines (EI CONFERENCE) 会议论文  OAI收割
4th International Congress on Image and Signal Processing, CISP 2011, October 15, 2011 - October 17, 2011, Shanghai, China
作者:  
Zhang T.
收藏  |  浏览/下载:33/0  |  提交时间:2013/03/25
Cubic B-splines is widely applied in non-rigid registration because of its approximation performance and fast computational characteristics. However  a small scale non-rigid deformation is needed to characterize by a large number of control points. Moreover  an iterative optimization strategy of the non-rigid registration algorithm and the normalized mutual information (NMI) cost a great quantity calculation. So  the process of the non-rigid registration is slowed by calculations of NMI in a iterative optimization strategy. In this paper  a parallel optimization algorithm based on cubic B-splines functions is proposed to parallelize the optimization algorithm of the nonrigid registration and the calculations of normalize mutual information. In practice  a fast algorithm of cubic B-splines is used and the control points are only distributed on the targets. Experiments show that the use of the fast algorithm and the parallel optimization strategy improves the non-rigid registration process of medical images. 2011 IEEE.