中国科学院机构知识库网格
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Effects of Image Features and Personal Traits on Within- and Across-Participant Visual Aesthetic Consistencies 期刊论文  OAI收割
EMPIRICAL STUDIES OF THE ARTS, 2023, 页码: 21
作者:  
Wu, Yi-Fan;  Yan, Fang-Fang;  Huang, Chang-Bing
  |  收藏  |  浏览/下载:16/0  |  提交时间:2023/10/09
Cycle-Consistent Weakly Supervised Visual Grounding With Individual and Contextual Representations 期刊论文  OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 5167-5180
作者:  
Zhang, Ruisong;  Wang, Chuang;  Liu, Cheng-Lin
  |  收藏  |  浏览/下载:19/0  |  提交时间:2023/11/16
Multi-View Image Classification With Visual, Semantic and View Consistency 期刊论文  OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 617-627
作者:  
Zhang, Chunjie;  Cheng, Jian;  Tian, Qi
  |  收藏  |  浏览/下载:80/0  |  提交时间:2020/03/30
Automatic Unpaired Shape Deformation Transfer 期刊论文  OAI收割
ACM TRANSACTIONS ON GRAPHICS, 2018, 卷号: 37, 期号: 6, 页码: 15
作者:  
Qiao, Yi-Ling;  Xia, Shihong;  Xu, Weiwei;  Gao, Lin;  Rosin, Paul L.
  |  收藏  |  浏览/下载:92/0  |  提交时间:2019/04/03
Effect of respiratory guidance on internal/external respiratory motion correlation for synchrotron-based pulsed heavy-ion radiotherapy 期刊论文  OAI收割
AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE, 2018, 卷号: 41, 页码: 713-720
作者:  
Xiao, Guoqing;  Ouyang, Shuigen;  Liu, Ruifeng;  He, Pengbo;  Li, Qiang
  |  收藏  |  浏览/下载:60/0  |  提交时间:2018/10/08
Global Coupled Learning and Local Consistencies Ensuring for sparse-based tracking 期刊论文  OAI收割
NEUROCOMPUTING, 2015, 卷号: 160, 页码: 191-205
作者:  
Yang, Yehui;  Xie, Yuan;  Zhang, Wensheng;  Hu, Wenrui;  Tan, Yuanhua
收藏  |  浏览/下载:34/0  |  提交时间:2015/09/21
Robust Visual Tracking Via Consistent Low-Rank Sparse Learning 期刊论文  OAI收割
International Journal of Computer Vision, 2015, 卷号: 111, 期号: 2, 页码: 171-190
作者:  
Zhang, Tianzhu;  Liu, Si;  Ahuja, Narendra;  Yang, Ming-Hsuan;  Ghanem, Bernard
  |  收藏  |  浏览/下载:23/0  |  提交时间:2017/02/23
Image quality assessment based on complex representation of structure information (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Electrical, Information Engineering and Mechatronics, EIEM 2011, December 23, 2011 - December 25, 2011, Jiaozuo, Henan, China
作者:  
Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:30/0  |  提交时间:2013/03/25
Local variance and single pixel value are combined to describe image structure information using complex method in this paper in order to improve the consistency of objective image assessment result with that of subjective method. The effect of the detail structure information on the image quality was emphasized by this method accordingly. Singular value decomposition was performed on local variance distribution complex matrix. The angle between the singular value vectors of the reference image and the disturbed image was used to measure their structural similarity. Then the quality assessment process was achieved. Results from experiments show that the proposed method is better consistent with human visual system characteristics than MSE  PSNR  and SSIM. 2012 Springer-Verlag London Limited.