机构

• 长春光学精密机械与物... [1]
• 自动化研究所 [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 [4]

内容类型

• 会议论文 [2]
• 期刊论文 [2]

发表日期

• 2020 [1]
• 2015 [1]
• 2012 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4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 Attention-Based Two-Stream Convolutional Networks for Face Spoofing Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2020, 卷号: 15, 页码: 578-593 作者:  Chen, Haonan;  Hu, Guosheng;  Lei, Zhen;  Chen, Yaowu;  Robertson, Neil M.   |  收藏  |  浏览/下载：94/0  |  提交时间：2020/03/30 Face spoofing  multi-scale retinex  deep learning  attention model  feature fusion   Tone mapping infrared images using conditional filtering based multi-scale retinex 会议论文  OAI收割 Conference on Applied Optics and Photonics (AOPC) - Image Processing and Analysis, Beijing, MAY 05-07, 2015 作者:  Luo HB(罗海波);  Xu LY(许凌云);  Hui B(惠斌);  Chang Z(常铮) 收藏  |  浏览/下载：30/0  |  提交时间：2015/11/18 Tone mapping  High dynamic rage image  infrared imaging  Multi-scale retinex  Image enhancement  Conditional Gaussian Filter (CGF)  Conditional Filtering Based Multi-Scale Retinex(CFBMSR)   A fast target recognition algorithm based on MSA and MSR (EI CONFERENCE) 会议论文  OAI收割 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012, August 23, 2012 - August 25, 2012, Xi'an, China 作者:  Wang Y.;  Liu G.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：30/0  |  提交时间：2013/03/25 This paper presents a new fast target recognition algorithm  the proposed method is based on Multi-scale Auto convolution(MSA) and Multi-scale Retinex(MSR). As shown by the comparison with original MSA  it appears that this new technique solves the problem that MSA algorithm is sensitive to illumination and the computational load is significantly reduced to 1/8th of that of the original MSA algorithm  it is also robust to affine transform  light projective transform  noise  thin fog  occlusion and illumination change. the performed experiments show that it has fast searching speed  and can accurately recognize and locate target in real scenes. 2012 IEEE.   Multi-scale joint network based on Retinex theory for low-light enhancement 期刊论文  OAI收割 SIGNAL IMAGE AND VIDEO PROCESSING 作者:  Song, Xijuan;  Huang, Jijiang;  Cao, Jianzhong;  Song, Dawei   |  收藏  |  浏览/下载：13/0  |  提交时间：2021/02/22 Low-light image enhancement  Multi-scale joint network  Color loss  Retinex theory