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International Conference on Pattern Recognition

作者： Rui Xiao Qijun Zhao David Zhang Pengfei Shi Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University China Department of Computer Science Hong Kong Polytechnic University Hong Kong China

ISBN: (纸本)9781424475421

Unlike most previous manifold-based data classification algorithms assume that all the data points are on a single manifold, we expect that data from different classes may reside on different manifolds of possible different dimensions. Therefore, better classification accuracy would be achieved by modeling the data by multiple manifolds each corresponding to a class. To this end, a general framework for data classification on multiple manifolds is presented. The manifolds are firstly learned for each class separately, and a stochastic optimization algorithm is then employed to get the near optimal dimensionality of each manifold from the classification viewpoint. Then, classification is performed under a newly defined minimum reconstruction error based classifier. Our method could be easily extended by involving various manifold learning methods and searching strategies. Experiments on both synthetic data and databases of facial expression images show the effectiveness of the proposed multiple manifold based approach.

关键词： Manifolds Classification algorithms Accuracy Databases Training Tuning image reconstruction

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Simulation of waveguide modes in multilayer structures

Computer Optics

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computer Optics 2010年第4期34卷 487-493页

作者： Strilets, Tatyana Sergeevna Kotlyar, Victor Victorovich Nalimov, Anton Gennadyevich S.P. Korolyov Samara State Aerospace University Russia Image Processing Systems Institute of the RAS Russia Computer Science Department Samara State Aerospace University Russia

In the present work, algorithm based on transverse transmission/reflection method (TTR) has been developed for calculation of propagation constants of leaky modes in multilayer planar structure. We present simulation results and give a comparison of the propagation constants of leaky modes in the ARROW structure obtained by this method with known constants from the literature. We also present the calculated profiles of some leaky modes. © 2010, Institution of Russian Academy of Sciences. All rights reserved.

关键词： Multilayers

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The method of image restoration in the environments of dust

The method of image restoration in the environments of dust

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International Conference on Mechatronics and Automation

作者： Wang, Yuanyu Li, Yuanzong Zhang, Tianxu Department of Computer Fundamental Education TaiYuan University of Technology TaiYuan CO 030024 China College of Mechanical Engineering TaiYuan University of Technology TaiYuan CO 030024 China Institute for Pattern Recognition and A.I. State Key Laboratory of Image Processing and Intelligent Control HuaZhong University of Science and Technology WuHan CO 430074 China

ISBN: (纸本)9781424451418

In order to solve the problem of image degradation caused by dust environments, an image degradation model considering multiple scattering factors caused by dust was first established using the first-order multiple scattering method. Then, a dark channel prior principle was applied to present an image restoration algorithm based on the image degradation model. Finally, a particle swarm optimization algorithm was applied to optimize the atmospheric light and the exposure parameters. This optimization algorithm was established according to the criterion of the image evaluation based on kirsch operator with dual threshold. By using the method an optimistic result of image restoration was obtained. The experimental results have shown that the method not only enhanced luminance and contrast, but also discovered more detail edges information. The method provided a foundation for target recognition in the dust environments. © 2010 IEEE.

关键词： Dust

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Mechanism of superresolution in a planar hyperbolicsecant lens

Computer Optics

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computer Optics 2010年第4期34卷 428-435页

作者： Kotlyar, Victor Victorovich Kovalev, Alexey Andreevich Nalimov, Anton Gennadyevich Triandafilov, Yanis Ruslanovich S.P. Korolyov Samara State Aerospace University Image Processing Systems Institute of the RAS Russia Computer Science Department Samara State Aerospace University Russia Technical Cybernetics Department SSAU Russia

Integral representation for a TE-wave from a point source in 2D medium, located outside of this medium, was obtained (border of a medium division – straight line). Similar representation for a light field inside and outside of flat-parallel film was obtained too. Three types of waves noticed, which give contributions in a light field: propagating waves, surface weaves of first and second types. Comparison of a numerical aperture of a refraction near field lenses (SIL, NAIL) and a planar hyperbolic secant lens conducted. It is shown, that this lens are close each other and distinguish in a 5%. It is shown by modeling in a FullWAVE program, that adding a subwave diffractive grating to a secant hyperbolic gradient lens, or replacing this lens on a binary analog helps to overcome a diffractive limit in the given medium with smaller width of the focus spot on a 10% and 20%. © 2010, Institution of Russian Academy of Sciences. All rights reserved.

关键词： Optical resolving power

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H-infinity state feedback control for a class of uncertain discrete-time switched descriptor systems with state delay

H-infinity state feedback control for a class of uncertain d...

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3rd International Symposium on Systems and Control in Aeronautics and Astronautics, ISSCAA2010

作者： Li, Changlin Long, Fei Chen, Xin Fu, Zhumu Institute of Intelligent Information Processing China Department of Mathematics College of Science Guizhou University Guiyang 550025 Guizhou China College of Computer Science and Information Guizhou University Guiyang 550025 Guizhou China Electronic Information Engineering College Henan University of Science and Technology Luoyang Henan China

ISBN: (纸本)9781424460441

The state feedback robust H-infinity control problem is investigated for discrete-time state delay switched linear descriptor systems with exponential uncertainties in this note. Aiming at the effect of exponential uncertainties, we first treats the uncertain exponential terms as polynomial uncertainty with an additive norm bounded uncertainty based on Taylor series approximation and convex polytope technique, and then a switching strategy and state feedback sub-controllers design are stated to guarantee the H-infinity performance of the whole discrete-time switched linear descriptor system with state delay by using multiple Lyapunov function technology and LMI approach. Finally, a numerical example is presented to illustrate our results. ©2010 IEEE.

关键词： State feedback

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A vector SIFT operator for interest point detection in hyperspectral imagery

A vector SIFT operator for interest point detection in hyper...

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Workshop on Hyperspectral image and Signal processing: Evolution in Remote Sensing, WHISPERS

作者： Leidy P. Dorado-Muñoz Miguel Velez-Reyes Amit Mukherjee Badrinath Roysam Laboratory of Applied Remote Sensing and Image Processing University of Puerto Rico Puerto Rico Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute NY USA

An algorithm for automated extraction of interest points (IP) in hyperspectral images is presented. IP are features of the image that capture information from its neighbors and are distinctive and stable under translation and rotation. IP operators for gray level images were proposed more than a decade ago and have since been studied extensively. IP are helpful in data reduction to reduce the computational burden of various algorithms by replacing an exhaustive search over the entire image domain by a probe into a concise set of highly informative points. The vector SIFT approach extends Lowe's IP operator that uses local extrema of Difference of Gaussian at multiple scales to detect interest point in gray level images by direct conversion of scalar operations such as scale-space generation, and extreme point detection into operations that take the vector nature of the image into consideration. Vector anisotropic diffusion is used for scale-space generation which enhances edges and improves IP detection. Experiments with hyperspectral images of different spatial resolutions and evaluation of IP found based on image registration is presented.

关键词： Hyperspectral imaging Pixel Detectors Feature extraction image edge detection IP networks

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Noisy blind source separation by nonlinear autocorrelation

Noisy blind source separation by nonlinear autocorrelation

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Congress on image and Signal processing, CISP

作者： Zhenwei Shi Xueyan Tan Zhiguo Jiang Hongjuan Zhang Chonghui Guo Image Processing Center School of Astronautics Beihang University Beijing China Department of Mathematics Shanghai University Shanghai China Institute of Systems Engineering Dalian University of Technology Dalian China

When source signals have nonlinear autocorrelation temporal structure, nonlinear autocorrelation has been used as a statistical property for solving blind source separation (BSS) problem (Z. Shi, Z. Jiang, F. Zhou, A fixed-point algorithm for blind source separation with nonlinear autocorrelation, Journal of Computational and Applied mathematics (2009)). The application of this method is, however, limited to noise-free mixtures, which does not consider the noisy case. Therefore in this paper, we consider the blind separation of the noisy model using the temporal characteristics of sources. An objective function, which combining Gaussian moments to nonlinear autocorrelation is proposed. Maximizing this objective function, we present a blind source separation algorithm for noisy mixtures. Simulations show the better performance of the proposed algorithm.

关键词： Noise measurement Correlation Blind source separation Signal processing algorithms Noise Complexity theory

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A Static Environment-Based Path Planning Method by Using Genetic Algorithm

A Static Environment-Based Path Planning Method by Using Gen...

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International Conference on Computing Control and Industrial Engineering (CCIE)

作者： Zhigang Yao Lianyang Ma Department of Computer Science Faculty of Information and Engineering China University of Geosciences (Beijing) Wuhan China Institute of Image Communication and Information Processing Shanghai Jiaotong University Shanghai China

ISBN: (纸本)9781424467501

This paper proposed a genetic algorithm-based method of path planning for mobile robot in a static environment. The paper uses a simple fitness function as the evaluation standard for an individual or a path. This is able to reduce the computation consumption, but it still cannot avoid of customizing genetic operators. In most cases, thus, the optimal solution could be found out in the lower evolution generations. The simulation study shows that this method is suitable for mobile robot path planning.

关键词： Path planning Genetic algorithms Mobile robots Optimization methods Communication system control Industrial engineering computer science Genetic engineering Geology image communication

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A loose-strategy-based complexity scalable motion estimation method for video coding

A loose-strategy-based complexity scalable motion estimation...

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2010 3rd International Congress on image and Signal processing, CISP 2010

作者： Lin, Weiyao Panusopone, Krit Baylon, David M. Sun, Ming-Ting Li, Hongxiang Institute of Image Communication and Information Processing Shanghai Jiao Tong University Shanghai 200240 China Department of Electrical Engineering University of Washington Seattle WA 98105 United States Advanced Technology Department CTO Office Home and Networks Mobility Motorola Inc. San Diego CA 92121 United States Department of Electrical and Computer Engineering North Dakota State University Fargo ND 58108 United States

ISBN: (纸本)9781424465149

In this paper, a new Complexity Scalable Motion Estimation (CSME) method is proposed which can perform Motion Estimation adaptively under different computation or power budgets while keeping high coding performance. We first propose to use a new class-based method to measure the Macroblock (MB) importance. Based on the new MB importance measure, a complete CSME framework is then proposed. The proposed method allocates computation in a one-pass flow and is based on a loose strategy where frames can borrow computation from other frames to achieve better performance under the same computation budget. Experimental results demonstrate that the proposed method can allocate computation more accurately than previous methods. ©2010 IEEE.

关键词： Motion estimation

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Space-Time Correlation Properties of a 3D Two-Sphere Model for Non-Isotropic MIMO Mobile-to-Mobile Channels

Space-Time Correlation Properties of a 3D Two-Sphere Model f...

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2010 IEEE Global Telecommunications Conference GLOBECOM 2010

作者： Yi Yuan Xiang Cheng Cheng-Xiang Wang David I. Laurenson Xiaohu Ge Feng Zhao Joint Research Institute of Signal and Image Processing Heriot-Watt University Edinburgh UK School of Electronics Engineering and Computer Science Peking University Beijing China Joint Research Institute of Signal and Image Processing University of Edinburgh Edinburgh UK Department of Electronics and Information Engineering Huazhong University of Science and Technology Wuhan China Department of Science and Technology Guilin University of Electronic and Technology Guilin China

This paper proposes a novel three-dimensional (3D) two-sphere regular-shaped geometry-based stochastic model (RS-GBSM) with only double-bounced rays for non-isotropic scattering narrowband multiple-input multiple-output (MIMO) mobile-to-mobile (M2M) channels. The proposed 3D model has the ability to investigate the joint impact of both the azimuth angle and elevation angle on channel statistics. Based on the proposed model, the space-time (ST) correlation function (CF) is derived and the impact of some important parameters on the resulting ST CF is investigated. Numerical results show that the 3D model results in lower ST correlations than the corresponding 2D model.

关键词： Correlation Three dimensional displays MIMO Solid modeling Scattering Azimuth Antennas

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