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检索条件"机构=Image Processing and pattern Recognition Laboratory"
516 条 记 录,以下是341-350 订阅
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Improving depth resolution of diffuse optical tomography with an exponential adjustment method based on maximum singular value of layered sensitivity
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Chinese Optics Letters 2008年 第12期6卷 886-888页
作者: 牛海晶 郭平 宋晓东 蒋田仔 Image Processing and Pattern Recognition Laboratory Beijing Normal University School of Computer Science and Technology Beijing Institute of Technology School of Aerospace Science and Engineering Beijing Institute of Technology National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences
The sensitivity of diffuse optical tomography (DOT) imaging exponentially decreases with the increase of photon penetration depth, which leads to a poor depth resolution for DOT. In this letter, an exponential adjus... 详细信息
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Software-based non-invasive implementation of binocular vision
Software-based non-invasive implementation of binocular visi...
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International Conference on Computer Science and Software Engineering, CSSE 2008
作者: Tong, Gao Xin, Zheng Qian, Yin Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China
In this paper, we present a software-based noninvasive system to implement binocular stereo vision with the help of polarized glass or other auxiliary equipments. For any application based on OpenGL, our system can gi... 详细信息
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Formal Photograph Compression Algorithm Based on Object Segmentation
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International Journal of Automation and computing 2008年 第3期5卷 276-283页
作者: Li Zhu Guo-You Wang Chen Wang Laboratory. for Biomedical Image Processing Institute for Pattern Recognition & Artificial Intelligence Huazhong University of Science & Technology Wuhan 430074 PRC School of Mechanical and Aeropace Engineering Nanyang Technological Vnlversity Sigapore 639798 Sigapore
Small storage space for photographs in formal documents is increasingly necessary in today's needs for huge amounts of data communication and storage. Traditional compression algorithms do not sufficiently utilize th... 详细信息
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High performance word level sequential and parallel coding methods and architectures for bit plane coding
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Science in China(Series F) 2008年 第4期51卷 337-351页
作者: XIONG ChengYi TIAN JinWen LIU Jian College of Electronic Information Engineering South-Central University for Nationalities Wuhan 430074 China Institute of Pattern Recognition & Artificial Intelligence Key Laboratory of Education Ministry for Image Processing and Intelligent Control Huazhong University of Science & Technology Wuhan 430074 China
This paper introduced a novel high performance algorithm and VLSI architectures for achieving bit plane coding (BPC) in word level sequential and parallel mode. The proposed BPC algorithm adopts the techniques of co... 详细信息
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ANT colony optimization algorithm for feature selection and classification of multispectral remote sensing image
ANT colony optimization algorithm for feature selection and ...
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2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
作者: Wen, Lintao Yin, Qian Guo, Ping Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China
In classification of multispectral remote sensing image, it is usually difficult to obtain higher classification accuracy if only consider image's spectral feature or texture feature alone. In this paper ,we prese... 详细信息
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ECoG Analysis with Affinity Propagation Algorithm
ECoG Analysis with Affinity Propagation Algorithm
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International Conference on Natural Computation (ICNC)
作者: Yuan Yuan An-bang Xu Ping Guo Jia-cai Zhang Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China
Analyzing notor imagery electrocardiogram (ECoG) signal is very challenging for it is hard to set up a classifier based on the labeled ECoG obtained in the first session and apply it to the unlabeled test data obtaine... 详细信息
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Dual-cache Structure Based Large Scale Texture Mapping for Real-time Terrain Rendering
Dual-cache Structure Based Large Scale Texture Mapping for R...
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IEEE Conference on Robotics, Automation and Mechatronics
作者: Dong Tian Xiaodong Wang Xin Zheng Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China
There are two key problems in efficient large scale texture mapping for terrain rendering-efficient data organization and real time data updating in memory. In order to solve these problems, in this paper we propose a... 详细信息
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Complete two-dimensional principal component analysis for image registration
Complete two-dimensional principal component analysis for im...
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IEEE International Conference on Systems, Man and Cybernetics
作者: Anbang Xu Xinyu Chen Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China
We present a new feature extraction method, which called the complete two-dimensional principal component analysis (Complete 2DPCA), for image registration. Complete 2DPCA is based on 2D image matrices. Two image cova... 详细信息
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Large Scale Terrain Compression and Real-Time Rendering Based on Wavelet Transform
Large Scale Terrain Compression and Real-Time Rendering Base...
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International Conference on Computational Intelligence and Security
作者: Xiaodong Wang Xin Zheng Qian Yin Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China
By taking advantage of 3 attributes of integer wavelet transform (IWT): efficient computing, multi-resolution and partially reconstruction, we propose one lossless large scale terrain compression method with high comp... 详细信息
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An Improved Random Sampling LDA for Face recognition
An Improved Random Sampling LDA for Face Recognition
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Congress on image and Signal processing, CISP
作者: Yunfei Jiang Xinyu Chen Ping Guo Hanqing Lu Laboratory of Image Processing and Pattern Recognition Beijing Normal University Beijing China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy and Sciences Beijing China
Linear Discriminant Analysis (LDA) is one of the most used feature extraction techniques for face recognition. However, it often suffers from the small sample size problem with high dimension setting. Random Subspace ... 详细信息
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