中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共11条,第1-10条 帮助

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SynerFill: A Synergistic RGB-D Image Inpainting Network via Fast Fourier Convolutions 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 69-78
作者:  
Liu, Kunhua;  Zhang, Yunqing;  Xie, Yuting;  Li, Leixin;  Wang, Yutong
  |  收藏  |  浏览/下载:6/0  |  提交时间:2024/07/22
Does Thermal Really Always Matter for RGB-T Salient Object Detection? 期刊论文  OAI收割
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 6971-6982
作者:  
Cong, Runmin;  Zhang, Kepu;  Zhang, Chen;  Zheng, Feng;  Zhao, Yao
  |  收藏  |  浏览/下载:8/0  |  提交时间:2024/05/20
CIR-Net: Cross-Modality Interaction and Refinement for RGB-D Salient Object Detection 期刊论文  OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6800-6815
作者:  
Cong, Runmin;  Lin, Qinwei;  Zhang, Chen;  Li, Chongyi;  Cao, Xiaochun
  |  收藏  |  浏览/下载:15/0  |  提交时间:2023/07/12
DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection 期刊论文  OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7012-7024
作者:  
Chen, Zuyao;  Cong, Runmin;  Xu, Qianqian;  Huang, Qingming
  |  收藏  |  浏览/下载:58/0  |  提交时间:2021/12/01
Expanded Edge Penalty Loss for Salient Object Detection 会议论文  OAI收割
Shanghai, China, 2021-09-24
作者:  
Wang, Nan;  Shi, Yuetian;  Fang, Jie;  Yang, Fanchao;  Zhang, Geng
  |  收藏  |  浏览/下载:30/0  |  提交时间:2022/02/10
CNN-Based Facial Expression Recognition from Annotated RGB-D Images for Human-Robot Interaction 期刊论文  OAI收割
International Journal of Humanoid Robotics, 2019, 卷号: 16, 期号: 4, 页码: 17
作者:  
Li, Jing;  Mi, Yang;  Li, Gongfa
  |  收藏  |  浏览/下载:37/0  |  提交时间:2019/08/04
基于彩色和深度信息的头部姿势估计研究与应用 学位论文  OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院大学, 2013
作者:  
唐云祁
收藏  |  浏览/下载:105/0  |  提交时间:2015/09/02
Quaternion based assessment method for color image fusion algorithms (EI CONFERENCE) 会议论文  OAI收割
2010 3rd International Congress on Image and Signal Processing, CISP 2010, October 16, 2010 - October 18, 2010, Yantai, China
作者:  
Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:19/0  |  提交时间:2013/03/25
A new approach to assess the performance of color image fusion algorithms is proposed. The color information is fully used by this method. Quaternions are used to encode the pixels in a color image into a quaternion matrix. Local variance of the luminance layer of the color image is taken as the real part of a quaternion  then the three RGB channels of the color image are encoded into the three imaginary parts of a quaternion. The angle between the singular value feature vectors of the quaternion matrices corresponding to one of the source image and the fused image is used to measure their structural similarity. Edge information transferring is used to balance the sensitivity of the assessment methods. Experimental results show that the proposed assessment method is better consistent with the HVS than some of the state-of-the-art method. Accurate assessment results can be given by the proposed method for various of color image fusion algorithms by using the source images and the fused image. 2010 IEEE.  
Assessment of color image fusion algorithms based on quaternion singular value decomposition (EI CONFERENCE) 会议论文  OAI收割
MIPPR 2009 - Remote Sensing and GIS Data Processing and Other Applications: 6th International Symposium on Multispectral Image Processing and Pattern Recognition, October 30, 2009 - November 1, 2009, Yichang, China
作者:  
Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:23/0  |  提交时间:2013/03/25
In this paper  a new approach to objectively assess the performance of image fusion algorithms is proposed. It is based on the quaternion representation for the structural information of color images. Quaternions are used to encode the pixels of a color image into a quaternion matrix. Local variance of the luminance layer of color image is taken as the real part of a quaternion  then the three RGB channels of the color image are encoded into the three imaginary parts of the quaternion. The angle between the singular value feature vectors of the quaternion matrices corresponding to the source image and the fused image is used to measure the structural similarity of them. Different weight is given to the source images by using variance. The experiment results show that the proposed assessment method is consistent with the HVS. The color information of a color image can be fully used by this method. It can give an accurate assessment result for each fusion algorithm by using the source images and the fused image. 2009 Copyright SPIE - The International Society for Optical Engineering.  
Color image quality assessment based on quaternion singular value decomposition (EI CONFERENCE) 会议论文  OAI收割
1st International Congress on Image and Signal Processing, CISP 2008, May 27, 2008 - May 30, 2008, Sanya, Hainan, China
作者:  
Liu W.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:19/0  |  提交时间:2013/03/25
An effective assessment method for color image is proposed. It is based on the quaternion description for the structural information of color image. The local variance of the luminance layer of color image is taken as the real part of a quaternion  then the three RGB channels of the color image are encoded into the three imaginary parts of the quaternion. The angle between the singular value feature vectors of the quaternion matrices correspond to the reference image and the distorted image is used to measure the structural similarity of the two images. Results from experiments show that the proposed method is better consistent with the human visual characteristics than MSE  PSNR and SSIM. The images whose size is different from that of the reference image can also be assessed by this method. 2008 IEEE.