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CAS IR Grid
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长春光学精密机械与物... [5]
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OAI收割 [5]
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会议论文 [5]
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2011 [1]
2006 [3]
2004 [1]
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存缴方式:oaiharvest
内容类型:会议论文
专题:长春光学精密机械与物理研究所
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A matching algorithm on statistical properties of Harris corner (EI CONFERENCE)
会议论文
OAI收割
2011 International Conference on Information and Automation, ICIA 2011, June 6, 2011 - June 8, 2011, Shenzhen, China
作者:
He B.
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2013/03/25
The fundamental goal of target recognition and video tracking is to match target template with source image. Most matching methods are based on image intensity or multi-feature points. And the latter method is more popular for its high accuracy and small calculation. Image Registration Based on Feature Points focus on effective feature extraction of image points and paradigm. Harris corner in the image rotation
gray
noise and viewpoint change conditions
has an ideal match results
is more recent application of one feature point. This paper extract the Harris corner deviation and covariance firstly
experiments show that the two features exclusive
then applied them to image registration for the first time. A set of actual images have shown
this proposed method not only overcomes the complicated background
gray uneven distribution problems
but also pan and zoom the image has a good resistance. 2011 IEEE.
An object recognition method based on fuzzy theory and BP networks - art. no. 602738
会议论文
OAI收割
2006
Chuan W.
;
Ming Z.
;
Dong Y.
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  |  
浏览/下载:5/0
  |  
提交时间:2013/03/28
An object recognition method based on fuzzy theory and BP networks (EI CONFERENCE)
会议论文
OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Chuan W.
;
Ming Z.
;
Dong Y.
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2013/03/25
It is difficult to choose eigenvectors when neural network recognizes object. It is possible that the different object eigenvectors is similar or the same object eigenvectors is different under scaling
shifting
rotation if eigenvectors can not be chosen appropriately. In order to solve this problem
the image is edged
the membership function is reconstructed and a new threshold segmentation method based on fuzzy theory is proposed to get the binary image. Moment invariant of binary image is extracted and normalized. Some time moment invariant is too small to calculate effectively so logarithm of moment invariant is taken as input eigenvectors of BP network. The experimental results demonstrate that the proposed approach could recognize the object effectively
correctly and quickly.
Parameters analysis of few-modes optical fiber evanescent absorption sensor - art. no. 603208
会议论文
OAI收割
2006
作者:
Li F.
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  |  
浏览/下载:6/0
  |  
提交时间:2013/03/28
Study on optical parts of MOEMS optical switch with low insertion loss
会议论文
OAI收割
2004
Ming A. J.
;
Liang J. Q.
;
Lan W. H.
;
Dong W.
;
Yao J. S.
;
Wang W. B.
;
Le Z. C.
;
Chen W. Y.
;
Wang L. J.
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2013/03/28