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• OAI收割 [12]

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• 期刊论文 [7]
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浏览/检索结果: 共12条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Geometric moment invariants to spatial transform and N-fold symmetric blur 期刊论文  OAI收割 PATTERN RECOGNITION, 2021, 卷号: 115, 页码: 14 作者:  Mo, Hanlin;  Hao, Hongxiang;  Li, Hua   |  收藏  |  浏览/下载：25/0  |  提交时间：2021/12/01 Blurred image  Blur invariants  Moment invariants  Spatial transform  N-fold symmetry  Object recognition  Template matching   Densely connected Siamese network visual tracking 期刊论文  OAI收割 INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2021 作者:  Zhou, Xiaolong;  Wang, Pinghao;  Chan, Sixian;  Fang, Kai;  Fang, Jianwen   |  收藏  |  浏览/下载：72/0  |  提交时间：2021/08/31 Robot vision  Artificial intelligence  Image processing  Object tracking  Siamese network  Dynamic template   Robust Object Tracking via Information Theoretic Measures 期刊论文  OAI收割 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 652-666 作者:  Wei-Ning Wang;  Qi Li;  Liang Wang   |  收藏  |  浏览/下载：12/0  |  提交时间：2021/02/22 Object tracking  information theoretic measures  correntropy  template update  robust to complex noises.   Study on the Classification of LAMOST Early Stellar Spectrum Template by Mahalanobis Distance 期刊论文  OAI收割 SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 卷号: 39, 期号: 5, 页码: 1618-1622 作者:  Chen Shu-xin;  Sun Wei-min;  Song Yi-han   |  收藏  |  浏览/下载：57/0  |  提交时间：2020/03/10 Mahalanobis distance  Early-type stellar  Spectrum template  LAMOST (large sky area multi-object fiber spectroscopy telescope)  ELODIE   Siamese Tracking with Adaptive Template-Updating Strategy 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 18, 页码: 1-17 作者:  Chang Z(常铮);  Xu Z(徐峥);  Hui B(惠斌);  Ju MR(鞠默然);  Luo HB(罗海波)   |  收藏  |  浏览/下载：36/0  |  提交时间：2019/11/13 object tracking  Siamese network  template-updating  deep learning   Similarity Measurement Among Classification Templates for LAMOST Stellar Spectra 期刊论文  OAI收割 SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 卷号: 38, 期号: 6, 页码: 1922-1925 作者:  Chen Shu-xin;  Sun Wei-min;  Kong Xiao   |  收藏  |  浏览/下载：9/0  |  提交时间：2020/03/10 Similarity measurement  Euclidean distance  Mahalanobis distance  Stellar spectrum template  LAMOST (large sky area multi-object fiber spectroscopy telescope)   Dual Efficient Second-order Minimization Method for Template-based Visual Tracking 会议论文  OAI收割 International Symposium on Infrared Technology and Application and the International Symposiums on Robot Sensing and Advanced Control, Beijing, May 9-11, 2016 作者:  Li CX(李晨曦);  Shi ZL(史泽林);  Liu YP(刘云鹏) 收藏  |  浏览/下载：32/0  |  提交时间：2016/09/13 Visual tracking  object template  light changes  Lie group  second-order approximation   Similarity learning for object recognition based on derived kernel 期刊论文  OAI收割 neurocomputing, 2012, 卷号: 83, 页码: 110-120 作者:  Li, Hong;  Wei, Yantao;  Li, Luoqing;  Yuan, Yuan 收藏  |  浏览/下载：37/0  |  提交时间：2012/09/03 Derived kernel  Hierarchical learning  Image similarity  Neural response  Object recognition  Template selection   Partial occlusion detection of object boundary (EI CONFERENCE) 会议论文  OAI收割 2009 IEEE Intrumentation and Measurement Technology Conference, I2MTC 2009, May 5, 2009 - May 7, 2009, Singapore, Singapore 作者:  Zhang J.;  Zhang K.;  Zhang K.;  Zhang K.;  Zhang K. 收藏  |  浏览/下载：32/0  |  提交时间：2013/03/25 Partial occlusion is a difficult problem in computer vision since whether the object is changed or occluded is ambiguous  especially when distinguishing it only from the object boundary. In this paper  we proposed a novel idea to solve this problem by taking shape matching as a morphing processing. A mass-spring model is constructed from the point set which is sampled from a template (or reference) object boundary by moving it to a target object which is deformed and/or occluded. From the morphing processing  sufficient information can be obtained and an accurate detection of occlusion is performed. By using of the proposed method  the application scope of occlusion detection is expanded while other method cannot be performed which need color  texture  or motion information. The experiments performed on synthetic and real world images proved the satisfactory performance of the proposed method. 2009 IEEE.   Affine object recognition and affine parameters estimation based on covariant matrix (EI CONFERENCE) 会议论文  OAI收割 2008 International Symposium on Information Science and Engineering, ISISE 2008, December 20, 2008 - December 22, 2008, Shanghai, China 作者:  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y. 收藏  |  浏览/下载：146/0  |  提交时间：2013/03/25 A new method of affine object recognition and affine parameters estimation is presented. For a real-time image and a group of templates  in addition  firstly  on the basis of correct recognition  we segment the object regions in them and compute their covariant matrices. Secondly  it can estimate affine parameters exactly  normalize the ellipse regions defined by covariant matrices to circle regions to get rotational invariants  and the estimated error is within 3%. 2008 IEEE.  and compute the similarity function value between rotational invariants of real-time image and every template respectively. Then compare the values with threshold set in advance  if more than one value is larger than threshold  take the corresponding templates as candidates  and compute affine matrix between real-time image and every candidate. Finally  transform the realtime image with every affine matrix and match the result with corresponding candidate by classical matching methods. Experimental results show that the presented method is robust to illumination  with low computational complexity  and it can realize recognition of different affine objects