中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Mobility in IPv6: Whether and How to Hierarchize the Network? 期刊论文  OAI收割
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2011, 卷号: 22, 期号: 10, 页码: 1722-1729
作者:  
Wang, Shengling;  Cui, Yong;  Das, Sajal K.;  Li, Wei;  Wu, Jianping
  |  收藏  |  浏览/下载:24/0  |  提交时间:2019/12/16
Slip motor speed control system based on LPC2136 and low cost CMOS camera (EI CONFERENCE) 会议论文  OAI收割
2010 IEEE International Conference on Advanced Computer Control, ICACC 2010, March 27, 2010 - March 29, 2010, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
作者:  
Yang S.-W.
收藏  |  浏览/下载:17/0  |  提交时间:2013/03/25
A nonlinear image enhancement algorithm based on partial differential equations (EI CONFERENCE) 会议论文  OAI收割
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
Han X.; Jian Z.
收藏  |  浏览/下载:22/0  |  提交时间:2013/03/25
Image enhancement and image de-noising have being the important research contents of image academic and engineering field  and the partial differential equations have been widely applied to computer vision. The paper applies the thoughts of partial differential equations  puts forward a new improved method of image enhancement. This method can enhance not only the dark images but also the bright images  making the details hidden in the dark background and the bright background very clear. The application scope is wider  and the visual effect is better. This paper uses the finite difference method to discrete the partial differential equations  and combines with the heat equation. It calculates simple  runs fast  and provides a guarantee for real-time video image enhancement processing. 2010 IEEE.  
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:30/0  |  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.