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浏览/检索结果: 共2条，第1-2条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Rotation invariant feature lines transform for image matching 期刊论文 Journal of Electronic Imaging, 2014, 卷号: 23, 期号: 5, 页码: 10 Zhang Y.; Qu H. S. 收藏  |  浏览/下载：17/0  |  提交时间：2015/04/24 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. 收藏  |  浏览/下载：15/0  |  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.