中国科学院机构知识库网格
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Obtaining Urban Waterlogging Depths from Video Images Using Synthetic Image Data 期刊论文  OAI收割
REMOTE SENSING, 2020, 卷号: 12, 期号: 6, 页码: 14
作者:  
Jiang, Jingchao;  Qin, Cheng-Zhi;  Yu, Juan;  Cheng, Changxiu;  Liu, Junzhi
  |  收藏  |  浏览/下载:19/0  |  提交时间:2021/03/23
Improved method of target detection on optoelectronic hybrid joint transform correlator in cluttered scences (EI CONFERENCE) 会议论文  OAI收割
2011 3rd International Conference on Mechanical and Electronics Engineering, ICMEE 2011, September 23, 2011 - September 25, 2011, Hefei, China
作者:  
Yang L.;  Yang L.
收藏  |  浏览/下载:23/0  |  提交时间:2013/03/25
A classical joint transform correlator (JTC) usually yields large correlation sidelobes as well as a large correlation peak width  strong zero-order peak  and low diffraction efficiency  which make the detection ability of JTC lower. To overcome these difficulties  firstly  a joint power spectrum (JPS) subtraction technique in Fourier plane was proposed  where reference image power spectrum and object image power spectrum are subtracted from the JPS before inverse Fourier-transform operation  it is obvious that the modified JPS removes the zero-order term. Secondly  a fringe-adjusted filter (FAF) was presented to suppress sidelobes and noises. The modified JPS is multiplied by a FAF before the inverse Fourier-transform operation to obtain the cross-correlation peak. Computer simulations demonstrated the improved method can obviously remove zero-order diffraction and effectively suppress the sidelobes and noises compared with classic JTC  and then improve the detection ability for JTC. Experimental results presented the sharp correlation peak and also confirmed the method effectiveness. (2012) Trans Tech Publications  Switzerland.  
Visual-Context Boosting for Eye Detection 期刊论文  OAI收割
ieee transactions on systems man and cybernetics part b-cybernetics, 2010, 卷号: 40, 期号: 6, 页码: 1460-1467
作者:  
Song, Mingli;  Tao, Dacheng;  Sun, Zhuo;  Li, Xuelong
收藏  |  浏览/下载:149/16  |  提交时间:2011/01/11
Partial occlusion detection of object boundary (EI CONFERENCE) 会议论文  OAI收割
2009 IEEE Intrumentation and Measurement Technology Conference, I2MTC 2009, May 5, 2009 - May 7, 2009, Singapore, Singapore
作者:  
Zhang J.;  Zhang K.;  Zhang K.;  Zhang K.;  Zhang K.
收藏  |  浏览/下载:35/0  |  提交时间:2013/03/25
Partial occlusion is a difficult problem in computer vision since whether the object is changed or occluded is ambiguous  especially when distinguishing it only from the object boundary. In this paper  we proposed a novel idea to solve this problem by taking shape matching as a morphing processing. A mass-spring model is constructed from the point set which is sampled from a template (or reference) object boundary by moving it to a target object which is deformed and/or occluded. From the morphing processing  sufficient information can be obtained and an accurate detection of occlusion is performed. By using of the proposed method  the application scope of occlusion detection is expanded while other method cannot be performed which need color  texture  or motion information. The experiments performed on synthetic and real world images proved the satisfactory performance of the proposed method. 2009 IEEE.