中国科学院机构知识库网格系统: 检索

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	An Efficient Outlier Rejection Algorithm for Point Cloud Registration 期刊论文 OAI收割 IEEE SIGNAL PROCESSING LETTERS, 2024, 卷号: 31, 页码: 1775-1779 作者: Xiang, Siyi; Guo, Shiyi; Wei, Hao; Liu, Bingxi; Zhang, Dabo \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2024/09/09 Point cloud compression Feature extraction Accuracy Signal processing algorithms Noise Noise reduction Matrix decomposition Outlier rejection point cloud registration hand-crafted algorithm 3D feature spatial consistency
	SuperFusion: A Versatile Image Registration and Fusion Network with Semantic Awareness 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 12, 页码: 2121-2137 作者: Linfeng Tang; Yuxin Deng; Yong Ma; Jun Huang; Jiayi Ma \| 收藏 \| 浏览/下载：58/0 \| 提交时间：2022/12/02 Global spatial attention image fusion image registration mutual promotion semantic awareness
	Stimulation Location Determination using a 3D Digitizer with High-Definition Transcranial Direct Current Stimulation 期刊论文 OAI收割 JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2019, 期号: 154, 页码: 7 作者: Chen, Wanting; Chen, Rui; He, Qinghua \| 收藏 \| 浏览/下载：40/0 \| 提交时间：2020/02/29 Neuroscience Issue 154 neuroscience noninvasive brain stimulation HD-tDCS 3D digitizer the spatial registration rTPJ
	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：34/0 \| 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)
	Image mosaic technique based on the information of edge (EI CONFERENCE) 会议论文 OAI收割 2012 3rd International Conference on Digital Manufacturing and Automation, ICDMA 2012, July 31, 2012 - August 2, 2012, Guilin, Guangxi, China 作者: Wang Y.-Q. 收藏 \| 浏览/下载：34/0 \| 提交时间：2013/03/25 Image mosaic is an important branch in the field of image processing. This paper designs and realizes an image mosaic technique based on the information of edge. The technology is suitable for engineering application. First of all two images of the adjoining frames are processed by convolution operation get the edge images. And then we cut edge image into pieces and compute their spatial frequency. According to the value of the spatial frequency select reasonable registration model group. We compute correlation strength and the value of movement offset which are the model group and the current frame edge image. We can complete image mosaic by them. We use video sequence which of the resolution is 1024 * 768 do the experiment. The results show that the method has good effect and strong adaptability. Algorithm is high efficiency which running time is 24 ms. It is suitable for real-time processing requirements of the application. This method is an effective mosaic technique which is suitable for engineering application. 2012 IEEE.
	Mapping of bioluminescent images onto CT volume surface for dual-modality BLT and CT imaging 期刊论文 OAI收割 JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2012, 卷号: 20, 期号: 1, 页码: 31-44 作者: Chen, Xueli; Liang, Jimin; Qu, Xiaochao; Hou, Yanbin; Zhu, Shouping 收藏 \| 浏览/下载：32/0 \| 提交时间：2015/08/12 Dual-modality imaging bioluminescence tomography (BLT) computed tomography (CT) spatial registration light flux recovering
	Effect of the sampling design of ground control points on the geometric correction of remotely sensed imagery SCI/SSCI论文 OAI收割 2012 作者: Ge Y. 收藏 \| 浏览/下载：22/0 \| 提交时间：2014/12/24 Geometric correction Spatial coverage sampling Universal kriging Variogram Model-based sampling resolution satellite imagery accuracy registration algorithm model
	Displacement estimation by the phase-shiftings of fourier transform in present white noise (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wu Y.-H. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 Displacement estimation is a fundamental problem in Real-time video image processing. It can be typically approached by theories based on features in spatial domain. This paper presents an algorithm which improves the theory for estimating the moving object's displacement in spatial domain by its Fourier transform frequency spectrum. Because of the characters of Fourier transform the result is based on all the features in the image. Utilizing shift theorem of Fourier transform and auto-registration the algorithm employs the phase spectrum difference in polar coordinate of two frame images sequence with the moving target1 2. The method needn't transform frequency spectrum to spatial domain after calculation comparing with the traditional algorithm which has to search Direc peak and it reduces processing time. Since the technique proposed uses all the image information including all the white noise in the image especially and it's hard to overcome the aliasing from noises but the technique can be an effective way to analyze the result in little white noise by the different characters between high and low frequency bands. It can give the displacement of moving target within 1 pixel of accuracy. Experimental evidence of this performance is presented and the mathematical reasons behind these characteristics are explained in depth. It is proved that the algorithm is fast and simple and can be used in image tracking and video image processing.