机构

• 计算技术研究所 [2]
• 自动化研究所 [2]
• 长春光学精密机械与物... [1]
• 沈阳自动化研究所 [1]
• 西安光学精密机械研究... [1]

采集方式

• OAI收割 [7]

内容类型

• 期刊论文 [5]
• 会议论文 [2]

发表日期

• 2023 [4]
• 2013 [1]
• 2011 [1]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共7条，第1-7条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Towards Fine-Grained Optimal 3D Face Dense Registration: An Iterative Dividing and Diffusing Method 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2023, 页码: 21 作者:  Fan, Zhenfeng;  Peng, Silong;  Xia, Shihong   |  收藏  |  浏览/下载：17/0  |  提交时间：2023/11/17 3D face  Dense correspondence  Non-rigid registration  3D morphable model   Towards Fine-Grained Optimal 3D Face Dense Registration: An Iterative Dividing and Diffusing Method 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF COMPUTER VISION, 2023, 页码: 21 作者:  Fan, Zhenfeng;  Peng, Silong;  Xia, Shihong   |  收藏  |  浏览/下载：23/0  |  提交时间：2023/12/04 3D face  Dense correspondence  Non-rigid registration  3D morphable model   A landmark-free approach for automatic, dense and robust correspondence of 3D faces 期刊论文  OAI收割 PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 14 作者:  Fan, Zhenfeng;  Hu, Xiyuan;  Chen, Chen;  Wang, Xiaolian;  Peng, Silong   |  收藏  |  浏览/下载：45/0  |  提交时间：2022/11/14 3D face  Dense correspondence  Non -rigid registration   A landmark-free approach for automatic, dense and robust correspondence of 3D faces 期刊论文  OAI收割 PATTERN RECOGNITION, 2023, 卷号: 133, 页码: 14 作者:  Fan, Zhenfeng;  Hu, Xiyuan;  Chen, Chen;  Wang, Xiaolian;  Peng, Silong   |  收藏  |  浏览/下载：14/0  |  提交时间：2023/07/12 3D face  Dense correspondence  Non -rigid registration   Image registration by normalized mapping 期刊论文  OAI收割 neurocomputing, 2013, 卷号: 101, 页码: 181-189 作者:  Wang, Qi;  Zou, Cuiming;  Yuan, Yuan;  Lu, Hongbing;  Yan, Pingkun 收藏  |  浏览/下载：22/0  |  提交时间：2015/05/29 Non-rigid registration  MR image  Normalized mapping  Groupwise registration  Manifold learning   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：25/0  |  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.   Robust non-rigid registration of multimodal medical image by combining local phase coherence with residual complexity measure 会议论文  OAI收割 2010 4th International Conference on Bioinformatics and Biomedical Engineering (iCBBE 2010), Chengdu, China, June 18-20, 2010 作者:  Xia RB(夏仁波);  Zhao JB(赵吉宾);  Liu WJ(刘伟军);  Wu JH(吴剑煌) 收藏  |  浏览/下载：24/0  |  提交时间：2012/06/06 multimodal registration  non-rigid  residual complexity  local phase coherence