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检索条件"机构=Image Processing and Pattern Recognition Institute"
1341 条 记 录,以下是411-420 订阅
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Multiple model particle filter with correlated measurement and process noise
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Journal of Information and Computational Science 2013年 第4期10卷 1179-1186页
作者: Hu, Zhentao Li, Song Liu, Xianxing Li, Jie Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475004 China
Aiming at adverse influence of the correlation between measurement and process noise for filtering precision, a new multiple model particle filtering algorithm with correlated measurement noise and process noise is pr... 详细信息
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Marginalized particle filtering algorithm in correlated noise
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Journal of Computational Information Systems 2013年 第1期9卷 17-24页
作者: Hu, Zhentao Yang, Yiping Li, Jie Liu, Xianxing Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475004 China
The particle filter offers a general numerical tool to approximate the posterior density function for the state in nonlinear and non-Gaussian filtering problems. While the particle filter is fairly easy to implement a... 详细信息
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Robust skeleton extraction of gray images based on level set approach
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Journal of Multimedia 2013年 第1期8卷 24-31页
作者: Yang, Zhihui Guo, Fangfang Dong, Ping Institute of Image Processing and Pattern Recognition North China University of Technology Beijing China
The skeleton of an image object is a simplified representation, which is of great significance for the image recognition and matching. To obtain a smooth and accurate skeleton of a specified object in the gray image, ... 详细信息
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A new method for removing random-valued impulse noise
Lecture Notes in Computer Science (including subseries Lectu...
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8836卷 9-16页
作者: Jin, Qiyu Bai, Li Yang, Jie Grama, Ion Liu, Quansheng Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University No. 800 Dongchuan Road Minhang District Shanghai200240 China School of Computer Science University of Nottingham United Kingdom Laboratoire de Mathmatiques de Bretagne Atlantique Université de Bretagne-Sud UMR 6205 Campus de Tohaninic BP 573 Vannes56017 France
A new algorithm for removing random-valued impulse noise is *** use a standardized version of the Rank Ordered Absolute Differences statistic of Garnett et al. [1] to attribute weights to noisy pixels. These weights a... 详细信息
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Photo quality assessment in different categories
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Journal of Computational Information Systems 2013年 第8期9卷 3209-3217页
作者: Shao, Jun Zhou, Yue Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240 China
Automatically assessment of photo quality in different categories is of great interest in the recent years. And there are many researches work on it. In this paper, we use several new global and regional features to d... 详细信息
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Robust visual tracking based on online learning of joint sparse dictionary
Robust visual tracking based on online learning of joint spa...
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6th International Conference on Machine Vision, ICMV 2013
作者: Li, Qiaozhe Qiao, Yu Yang, Jie Bai, Li Key Laboratory of Ministry of Education for System Control and Information Processing Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China School of Computer Science University of Nottingham Nottingham United Kingdom
In this paper, we propose a robust visual tracking algorithm based on online learning of a joint sparse dictionary. The joint sparse dictionary consists of positive and negative sub-dictionaries, which model foregroun... 详细信息
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Object tracking within the framework of concept drift
Object tracking within the framework of concept drift
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11th Asian Conference on Computer Vision, ACCV 2012
作者: Chen, Li Zhou, Yue Yang, Jie Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiao Tong University Shanghai 200240 China
It is well known that the backgrounds or the targets always change in real scenes, which weakens the effectiveness of classical tracking algorithms because of frequent model mismatches. In this paper, an object tracki... 详细信息
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Graph theory based image segmentation
Graph theory based image segmentation
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Congress on image and Signal processing, CISP
作者: Songhao Zhu Xinshuai Zhu Qingqing Luo Institute of Image Processing and Pattern Recognition Nanjing University of Posts and Telecommunications China
image segmentation is a fundamental process in many image, video, and computer vision applications. It is very essential and critical to image processing and pattern recognition, and determines the quality of final re... 详细信息
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Contour segmentation based on GVF snake model and contourlet transform
Contour segmentation based on GVF snake model and contourlet...
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9th International Conference on Intelligent Computing, ICIC 2013
作者: Zhang, Xinhong Cai, Kun Zhang, Fan Li, Rui Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475001 China Software School Henan University Kaifeng 475001 China College of Computer and Information Engineering Henan University Kaifeng 475001 China
A contour segmentation algorithm is proposed based on GVF Snake model and Contourlet transform. Firstly, object contours of images can be obtained based on Contourlet Transform, and those contours will be identified a... 详细信息
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Interior tomography using the truncated Hilbert transform with the total variation constraint
Interior tomography using the truncated Hilbert transform wi...
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International Conference on BioMedical Engineering and Informatics (BMEI)
作者: Qiong Xu Xuanqin Mou Institute of Image Processing and Pattern Recognition Xi' an Jiaotong University Xi'an Shaanxi China
Interior tomography is to reconstruct the interior region of interest (ROI) from the projection data just across the ROI. One kind of interior reconstruction methods is based on the inversion of truncated Hilbert tran... 详细信息
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