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检索条件"机构=Laboratory of Image Processing and Pattern Recognition"
516 条 记 录,以下是311-320 订阅
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Comparison of discriminant analysis methods applied to diffractive optically variable image
Comparison of discriminant analysis methods applied to diffr...
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IEEE International Workshop on Anti-counterfeiting, Security, Identification, ASID
作者: Rukun Hu Youji Feng Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China The School of Computer Science and Technology Beijing Institute of Technology Beijing China
As a kind of powerful anti-counterfeiting device, diffractive optically variable image (DOVI) has been developed and widely used in information security field. However, the identification of DOVI today by bare eyes is... 详细信息
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Investigating visual feature extraction methods for image annotation
Investigating visual feature extraction methods for image an...
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IEEE International Conference on Systems, Man and Cybernetics
作者: Rukun Hu Shuai Shao Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing China The School of Computer Science and Technology Beijing Institute of Technology Beijing China
In order to investigate the performance of visual feature extraction method for automatic image annotation, three visual feature extraction methods, namely discrete cosine transform, Gabor transform and discrete wavel... 详细信息
来源: 评论
A PARALLEL COORDINATIVE VISUAL MODEL—THE PLATE PARALLEL RETRIEVAL MODEL(PPRM)
A PARALLEL COORDINATIVE VISUAL MODEL—THE PLATE PARALLEL RET...
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1998 Fourth International Conference Signal processing
作者: Wang Tianzhen Li Zhou Chang Suwen Wu Zhongyi Du ping Image Processing Lab.Wuhan Automative Polytechnical University National lab.of Pattern Recognition Institute of Automation Chinese Academy of Sciences Station Education Commission Laboratory for Image Processing and Intelligent Control China
In this paper,a parallel coordinative visual model—The revised Plate Parallel Retrieval Model(Wang 1994) [1]is presented based on the analysis of the global effect of Chinese Characters and the recent neurobiological... 详细信息
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One-shot distributed algorithm for PCA with RBF kernels
arXiv
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arXiv 2020年
作者: He, Fan Lv, Kexin Yang, Jie Huang, Xiaolin The Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China The MOE Key Laboratory of System Control and Information Processing 800 Dongchuan Road Shanghai200240 China
This letter proposes a one-shot algorithm for feature-distributed kernel PCA. Our algorithm is inspired by the dual relationship between sample-distributed and feature-distributed scenario. This interesting relationsh... 详细信息
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A Fall Detection System Based on a Thermopile Imaging Array and a Back Projection Algorithm
A Fall Detection System Based on a Thermopile Imaging Array ...
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IEEE International Conference on Electro-Information Technology
作者: Lei Yu Han Chen Hantao He Hong Nie Xuping Zhai Bangshu Xiong Key Laboratory of Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang China University of Northern Iowa Iowa USA Shanghai University Shanghai China
In this paper, a fall detection system consisting of a thermopile imaging array with 80*64 pixels and a Raspberry Pi 3 has been developed. First, the thermal images captured by the hardware system are processed to eli... 详细信息
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A novel path planning method based on path network
A novel path planning method based on path network
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MIPPR 2009 - Medical Imaging, Parallel processing of images, and Optimization Techniques: 6th International Symposium on Multispectral image processing and pattern recognition
作者: Li, Shidong Ding, Mingyue Cai, Chao Institute for Pattern Recognition and Artificial Intelligence National Lab. for Multi-spectral Information Processing Technologies Huazhong University of Science and Technology Wuhan 430074 China Hubei University for Nationalities Enshi Hubei 445000 China College of Life Science and Technology Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Wuhan 430074 China
Traditional path planning methods are too slow to meet the real-time requirement in practical applications. In order to solve this problem, an idea of path net was proposed in this paper. The path planning procedure i... 详细信息
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High-Precision and Arbitrary-length Fixed-Point Fast Hartley Transform without Multiplications
High-Precision and Arbitrary-length Fixed-Point Fast Hartley...
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WRI International Conference on Communications and Mobile Computing, CMC
作者: Zhenbing Liu Jianguo Liu Guoyou Wang Key Laboratory of Education Ministry for Image Processing and Intelligent Control State Key Laboratory of Multispectral Information Processing Technologies Institute of Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China
Discrete Hartley transform (DHT) is an important tool in digital signal processing. In this paper, based on our previous work of performing DHT via linear sums of discrete moments, we have made development to eliminat... 详细信息
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Detection of aflatoxin contaminated figs using Near-Infrared (NIR) reflectance spectroscopy
Detection of aflatoxin contaminated figs using Near-Infrared...
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International Conference on Electronics, Computer and Computation (ICECCO)
作者: Ali Güneş Habil Kalkan Efkan Durmuş Mehmet Burak Bütükcan Vision Image Processing and Pattern Recognition Laboratory (VIPLAB) S üleyman Demirel University Isparta Turkey Canakkale Onsekiz Mart Universitesi Canakkale Canakkale TR
Figs like other agricultural products may include cancerogenic aflatoxin which is caused by Aspergillus type molds. Under the UV illumination, a large portion of the aflatoxin contaminated figs expose Bright Greenish ... 详细信息
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Pseudoinverse Learning Algorithom for Fast Sparse Autoencoder Training
Pseudoinverse Learning Algorithom for Fast Sparse Autoencode...
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IEEE Congress on Evolutionary Computation
作者: Bingxin Xu Ping Guo Beijing Key Laboratory of Information Service Engineering Beijing Union University Beijing China Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China
Sparse autoencoder is one approach to automatically learn features from unlabeled data and received significant attention during the development of deep neural networks. However, the learning algorithm of sparse autoe... 详细信息
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The Application of A Novel Target Region Extraction Model Based on Object-Accumulated Visual Attention Mechanism
The Application of A Novel Target Region Extraction Model Ba...
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International Conference on Natural Computation (ICNC)
作者: Jie Xiao Chao Cai Mingyue Ding Chengping Zhou Institute of Pattern Recognition and Artificial Intelligence State Education Commission Key Laboratory for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China
Combining bottom-up and top-down attention influences, a novel region extraction model which based on object-accumulated visual attention mechanism is proposed in this paper. Compared with early research, the new appr... 详细信息
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