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长春光学精密机械与物... [1]
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会议论文 [1]
发表日期
2011 [1]
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Rotation and scaling invariant feature lines for image matching (EI CONFERENCE)
会议论文
2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China
Zhang Y.
;
Wang Y.
;
Qu H.
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提交时间:2013/03/25
Image matching has been one of the most fundamental issues computer vision over the decades. In this paper we propose a novel method based on making use of feature lines in order to achieve more robust image matching. The feature lines have the properties of rotation and scaling invariance
coined RIFLT(Rotation invariant feature line transform). Experimental results demonstrate the effectiveness and efficiency of the proposed method. Compare with the famous powerful algorithm Scale Invariant Feature Transform(SIFT)
the proposed method is more insensitive to noise. And for certain sequence of images
which contain clear lines
the proposed method is more efficiency. Using the feature lines obtained by our method
it is possible to matching two scene images with different rotation angles
scale and light distort. 2011 IEEE.
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