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检索条件"机构=the Image Processing and Pattern Recognition Laboratory"
516 条 记 录,以下是201-210 订阅
排序:
Patch-based Object Tracking via Locality-constrained Linear Coding
Patch-based Object Tracking via Locality-constrained Linear ...
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第35届中国控制会议
作者: Kunqi Gu Mingna Liu Tao Zhou Fanghui Liu Xiangjian He Jie Yang Yu Qiao Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai Institute of Spaceflight Control Technology Infrared Detection Technology Research and Development Center China Aerospace Science and Technology Corporation School of Computing and Communications University of Technology The Key Laboratory of Ministry of Education for System Control and Information Processing
In this paper,the Locality-constrained Linear Coding(LLC) algorithm is incorporated into the object tracking ***,we extract local patches within a candidate and then utilize the LLC algorithm to encode these *** on th... 详细信息
来源: 评论
An improved algorithm of search for compressive sensing image recovery based on lp norm
An improved algorithm of search for compressive sensing imag...
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Chinese Automation Congress, CAC 2015
作者: Yuan, Jiang Pei, Shen Ping, Zhao Yang, Daiji Zhen, Chen Jiangxi Province Key Laboratory of Image Processing and Pattern Recognition Nanchang330063 China College of Information Engineering Nanchang Hangkong University 330063 China
Compressed sensing theory by developing a signal sparse features, under the condition of far less than the Nyquist sampling rate, the correct signal is acquired with random sampling the discrete samples, and then thro... 详细信息
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Small target detection using an optimization-based filter  40
Small target detection using an optimization-based filter
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40th IEEE International Conference on Acoustics, Speech, and Signal processing, ICASSP 2015
作者: Xie, Kai Fu, Keren Zhou, Tao Yang, Jie Wu, Qiang He, Xiangjian Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China School of Computing and Communications University of Technology Sydney Australia
Small target detection is a critical problem in the Infrared Search And Track (IRST) system. Although it has been studied for years, there are some challenges remained, e.g. cloud edges and horizontal lines are likely... 详细信息
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Impulse noise removal in two-dimensional electrophoresis images based on dome recognition  8
Impulse noise removal in two-dimensional electrophoresis ima...
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8th International Conference on BioMedical Engineering and Informatics, BMEI 2015
作者: Ou, Qiaofeng Zhang, Huisheng Li, Lixin Xiong, Bangshu School of Electronic Information Northwestern Polytechnical University Xi'an710072 Hong Kong Key Laboratory of Image Processing and Pattern Recognition of Jiangxi Province Nanchang Hangkong University Nanchang330063 China
Two-dimensional gel electrophoresis (2DE) images are often corrupted by impulse noise in broad sense (including various artifacts, such as fingerprints, hairs, gel cracks, strips, water stains, dust and so on). In thi... 详细信息
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Comparison of linear dimensionality reduction methods in image annotation
Comparison of linear dimensionality reduction methods in ima...
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International Workshop on Advanced Computational Intelligence (IWACI)
作者: Shiqiang Li Hussain Dawood Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China
Dimension reduction methods are often used to analyzing high dimensional data, linear dimension methods are commonly used due to their simple geometric interpretations and for effective computational cost. Dimension r... 详细信息
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Removal of random-valued impulse noise by Khalimsky grid
Removal of random-valued impulse noise by Khalimsky grid
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Asia Pacific Conference on Multimedia and Broadcasting (APMediaCast)
作者: Hussain Dawood Hassan Dawood Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China
In this paper, based on Khalimsky grid, a new Random-valued Impulse noise identification and removal method is proposed. Khalimsky grid can presents the neighborhood relationship among the pixels in the sliding window... 详细信息
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A Hybrid image Feature Descriptor for Classification
A Hybrid Image Feature Descriptor for Classification
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International Conference on Computational Intelligence and Security
作者: Hassan Dawood Hussian Dawood Ping Guo Image Processing and pattern Recognition Laboratory Beijing Normal University Beijing China Department of Computer Engineering University of Engineering and Technology Taxila Pakistan Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China
Feature extraction methods have an important role in image classification. In this paper, a hybrid texture feature descriptor is proposed by utilizing the attributes of two complementary features, PRICoLBP and LPQ. PR... 详细信息
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A comparative study of different feature mapping methods for image annotation
A comparative study of different feature mapping methods for...
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International Workshop on Advanced Computational Intelligence (IWACI)
作者: Yiren Wang Hassan Dawood Qian Yin Ping Guo the Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China the Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China Computer Science Department Beijing Normal University Beijing China
Automatic image annotation and tagging is necessary for indexing and searching of images using querying a text. It is widely used in search engines like Google, Yahoo, Baidu, etc. Fast image Tagging (FastTag) algorith... 详细信息
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Blind source separation with evolution based KICA
Blind source separation with evolution based KICA
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Asia Pacific Conference on Multimedia and Broadcasting (APMediaCast)
作者: Peng Wu Qian Yin Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China Shandong Provincial Key Laboratory of Network based Intelligent Computing University of Jinan Jinan China
Kernel independent component analysis (KICA) has been widely used in the field of blind source separation. The selection of kernel function and its parameters plays an important role in KICA algorithm performance. An ... 详细信息
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A New Method for recognition Partially Occluded Curved Objects under Affine Transformation
A New Method for Recognition Partially Occluded Curved Objec...
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International Conference on Intelligent System and Knowledge Engineering, ISKE
作者: GuiMei Zhang JiYuan Xu JianXin Liu Key Laboratory of Image Processing and Pattern Recognition Nanchang Hangkong University Jiangxi Province China School of Mechanical Engineering and Automation Xihua University Chengdu Sichuan China
A new method dealing with recognition of partially occluded and affine distortion objects is presented. The method is designed for objects with smooth curved boundary. It divides an object into affine-invariant parts ... 详细信息
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