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Visual Saliency Detection Based on color Frequency Features under Bayesian framework 期刊论文
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2018, 卷号: 12, 页码: 676-692
作者:  Ayoub, Naeem;  Gao, Zhenguo;  Chen, Danjie;  Tobji, Rachida;  Yao, Nianmin
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/02
Iris Identification App Based on Andriod System 会议论文
作者:  Zhang, Xinman;  Xiong, Qi;  Xu, Xuebin
收藏  |  浏览/下载：4/0  |  提交时间：2019/11/26
Multi-mode Emotion Recognition Based on Generalized Discriminative Canonical Correlation Analysis 会议论文
2018 INTERNATIONAL CONFERENCE ON SENSORS, SIGNAL AND IMAGE PROCESSING (SSIP 2018), 2018-01-01
作者:  Chen, Lijiang;  Dou, Wentao;  Mao, Xia
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30
Extraction and Reconstruction of Zebra Crossings from High Resolution Aerial Images 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2016
Sun, Yanbiao; Zhang, Fan; Gao, Yunlong; Huang, Xianfeng
收藏  |  浏览/下载：6/0  |  提交时间：2017/12/03
Frame properties of generalized shift-invariant systems in discrete setting 期刊论文
APPLICABLE ANALYSIS, 2016, 卷号: 95, 期号: 11, 页码: 2547-2564
作者:  Lu, Dayong[1];  Li, Dengfeng[2]
收藏  |  浏览/下载：6/0  |  提交时间：2019/12/23
The BeiHang Keystroke Dynamics Systems, Databases and baselines 期刊论文
NEUROCOMPUTING, 2014, 卷号: 144, 页码: 271-281
作者:  Liu, Juan;  Zhang, Baochang;  Zeng, Haoran;  Shen, Linlin;  Liu, Jianzhuang
收藏  |  浏览/下载：2/0  |  提交时间：2020/01/06
基于机器视觉的印刷品在线检测方法研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2010
作者:  黄为
收藏  |  浏览/下载：45/0  |  提交时间：2015/09/02
Iris matching algorithm based on weighted Hamming distance 期刊论文
2010, 2010
Feng Xinhua; Ding Xiaoqing; Wu Youshou
收藏  |  浏览/下载：2/0
表面缺陷视觉检测关键技术研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2010
作者:  丁名晓
收藏  |  浏览/下载：114/0  |  提交时间：2015/09/02
PSO based gabor wavelet feature extraction method (EI CONFERENCE) 会议论文
2004 International Conference on Information Acquisition, ICIA 2004, June 21, 2004 - June 25, 2004, Hefei, China
Sun H.; Pan Y.; Zhang Y.
收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25
In this paper  the time of feature extraction is faster. By test in low contrast image  2D continues Gabor wavelets are adopted to realize feature extraction. By optimize Gabor wavelet's parameters of translation  the feasibility and effectiveness of the algorithm are demonstrated by VC++ simulation platform in experiments. 2004 IEEE.  orientation  and scale to make it approximates a local image contour region. The method of Sobel edge detection is used to get the initial position and orientation value of optimization in order to improve the convergence speed. In the wavelet characteristic space  we adopt PSO (particle swarm optimization) Algorithm to identify points on the security border of the system. Comparing to the LM algorithm  it can ensure reliable convergence the target  which can improve convergent speed  

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