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浏览/检索结果: 共7条，第1-7条 帮助 限定条件 专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     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 Registration model based on homologous points tracking of space camera assembly imaging 期刊论文 Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2016, 卷号: 45, 期号: 3 作者:  Wu, Y.;  G. Li;  K. Zhang;  Y. Zhang and L. Jin 收藏  |  浏览/下载：12/0  |  提交时间：2017/09/11 Calculation of overlapping pixels in interleaving assembly for CCD focal plane of space camera 期刊论文 Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2016, 卷号: 24, 期号: 2 作者:  Wu, Y.-N.;  G.-N. Li and Y. Zhang 收藏  |  浏览/下载：18/0  |  提交时间：2017/09/11 局部仿射不变特征的提取技术研究 学位论文 博士: 中国科学院大学, 2015 作者:  吴伟平 收藏  |  浏览/下载：38/0  |  提交时间：2015/11/30 局部仿射不变特征  MSER  亮度质心不变矩  SURF  描述子方向   Study on time registration method for photoelectric theodolite data fusion (EI CONFERENCE) 会议论文 10th World Congress on Intelligent Control and Automation, WCICA 2012, July 6, 2012 - July 8, 2012, Beijing, China Yang H.-T.; Gao H.-B. 收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25 In range measurement  theodolite and radar constitute a real-time tracking system at different sites to track the same target in the air and get useful information exactly and timely. As the optical theodolite and radar have different sampling frequency and measurement system  the data is sent to the fusion center is asynchronous. This paper proposed a time registration method based on multi-sensor data using Wavelet neural network algorithm  which not only better solved the basic problems of theodolite fusion tracking but also improve the efficiency of data fusion. Simulation experiment and comparison with other time registration method have shown the advantage of this method. 2012 IEEE.   Image registration based on Mexican-hat wavelets and pseudo-Zernike moments (EI CONFERENCE) 会议论文 2012 World Automation Congress, WAC 2012, June 24, 2012 - June 28, 2012, Puerto Vallarta, Mexico Ding N.; Liu Y. 收藏  |  浏览/下载：28/0  |  提交时间：2013/03/25 Image registration is a key technique in pattern recognition and image processing  and it is widely used in many application areas such as computer vision  remote sensing  image fusion and object tracking. A method for image registration combining Mexican-hat wavelets and pseudo-Zernike moments is proposed. Firstly  feature points are extracted using scale-interaction Mexican-hat wavelets in the reference image and sensed image respectively. Then  pseudo-Zernike moments are used to match them and classical RANSAC used to eliminate the wrong matches. And then  the well match points are used to estimate the best affine transform parameters by least squares minimization. At last  the sensed image is transformed and resampled to accomplish the image registration. The experiments indicate that the proposed algorithm extracts feature points and matches them exactly and eliminates wrong matched points effectively and achieves nice registration results. 2012 TSI Press.   A matching algorithm on statistical properties of Harris corner (EI CONFERENCE) 会议论文 2011 International Conference on Information and Automation, ICIA 2011, June 6, 2011 - June 8, 2011, Shenzhen, China He B.; Ming Z.; Wei Y. 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.   Displacement estimation by the phase-shiftings of fourier transform in present white noise (EI CONFERENCE) 会议论文 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Wu Y.-H.; Yu Q.-Y. 收藏  |  浏览/下载：17/0  |  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.