中国科学院机构知识库网格系统: 检索

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	A Coarse-to-Fine Registration Approach for Point Cloud Data with Bipartite Graph Structure 期刊论文 OAI收割 ELECTRONICS, 2022, 卷号: 11 作者: Yuan, Munan; Li, Xiru; Cheng, Longle; Li, Xiaofeng; Tan, Haibo \| 收藏 \| 浏览/下载：41/0 \| 提交时间：2022/03/21 point cloud coarse-to-fine registration top-tail (TT) strategy bipartite graph matching 3D scale-invariant feature transform (3D SIFT) fast point feature histograms (FPFH) trimmed iterative closest point (TrICP)
	基于高光谱图像的改进SIFT特征提取与匹配期刊论文 OAI收割光学精密工程, 2020, 卷号: 28 作者: 丁国绅; 乔延利; 易维宁; 杜丽丽; 方薇 \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2020/10/26 Scale Invariant Feature Transform (SIFT) hyperspectral image position criteria image matching 尺度不变特征变换高光谱图像位置准则图像匹配
	Registration of Optical and SAR Satellite Images by Exploring the Spatial Relationship of the Improved SIFT 期刊论文 OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2013, 卷号: 10, 期号: 4, 页码: 657-661 作者: Fan, Bin; Huo, Chunlei; Pan, Chunhong; Kong, Qingqun 收藏 \| 浏览/下载：35/0 \| 提交时间：2015/08/12 Optical and SAR image registration remote sensing scale-invariant feature transform (SIFT) spatial consistent matching (SCM) synthetic aperture radar (SAR)
	Rotation and scaling invariant feature lines for image matching (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Mechatronic Science, Electric Engineering and Computer, MEC 2011, August 19, 2011 - August 22, 2011, Jilin, China 作者: Wang Y.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：28/0 \| 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.
	Adaptive optics retinal image registration from scale-invariant feature transform 期刊论文 OAI收割 OPTIK, 2011, 卷号: 122, 期号: 9, 页码: 839-841 作者: Li, Hao; Yang, Hansheng; Shi, Guohua; Zhang, Yudong 收藏 \| 浏览/下载：25/0 \| 提交时间：2015/09/21 Adaptive optics Retina Scale-invariant feature transform (SIFT)
	Mean shift tracking combining SIFT (EI CONFERENCE) 会议论文 OAI收割 2008 9th International Conference on Signal Processing, ICSP 2008, October 26, 2008 - October 29, 2008, Beijing, China 作者: Xue C. 收藏 \| 浏览/下载：66/0 \| 提交时间：2013/03/25 A novel visual tracking algorithm to cope with occlusion and scale variation is proposed. This method combines mean shift and SIFT algorithm to track object. SIFT algorithm is invariant to rotation translation and scale variation. But it is a timeconsuming algorithm. The wasting time is related to image size. So the proposed algorithm first adopts mean shift to initially locate object position then SIFT operator is used to detect features in object area and model area lastly the proposed method matches features in these two areas and calculates the relationship between them using affine transform. According to affine transform parameters the state of object can be adjusted in time. In order to reduce process time an improved feature matching algorithm is proposed in this paper. Experiments show that the proposed algorithm deals with occlusion successfully and can adjust object size in time. 2008 IEEE.