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IEEE International Conference on Robotics and Biomimetics

作者： Huakang Li Qunfei Zhao Akira Saji Keita Tanno Jie Huang School of Computer Science and Engineering University of Aizu Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University

ISBN: (纸本)9781424493197

In this paper, we propose spatial localization of multiple sound sources using a spherical robot head equipped with four microphones. We obtain arrival time differences using phase difference candidates. Based on the model of precedence effect, arrival temporal disparities obtained from the zero-crossing point are used to calculate time differences and suppress the influence of echoes in a reverberant environment. To integrate spatial cues of different microphone pairs, we use a mapping method from the correlation between different microphone pairs to a 3D map corresponding to azimuth and elevation of sound sources directions. Experiments indicate that the system provides the distribution of sound sources in azimuth-elevation localization, with the EA model even concurrently in reverberant environments.

关键词： Microphones Azimuth Estimation Histograms Reverberation Robot sensing systems

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3D deformable surfaces with locally self-adjusting parameters - A robust method to determine cell nucleus shapes

3D deformable surfaces with locally self-adjusting parameter...

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International Conference on pattern recognition

作者： Keuper, Margret Schmidt, Thorsten Padeken, Jan Heun, Patrick Palme, Klaus Burkhardt, Hans Ronneberger, Olaf Pattern Recognition and Image Processing Computer Science Department Freiburg University Germany Max-Planck Institute of Immunobiology Freiburg Germany University of Freiburg Germany Inst. of Biology II Freiburg Inst. for Advanced Studies - FRIAS University of Freiburg Germany

ISBN: (纸本)9780769541099

When using deformable models for the segmentation of biological data, the choice of the best weighting parameters for the internal and external forces is crucial. Especially when dealing with 3D fluorescence microscopic data and cells within dense tissue, object boundaries are sometimes not visible. In these cases, one weighting parameter set for the whole contour is not desirable. We are presenting a method for the dynamic adjustment of the weighting parameters, that is only depending on the underlying data and does not need any prior information. The method is especially apt to handle blurred, noisy, and deficient data, as it is often the case in biological microscopy. © 2010 IEEE.

关键词： Deformation

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P4P Pastry: A novel P4P-based Pastry routing algorithm in Peer to Peer Network

P4P Pastry: A novel P4P-based Pastry routing algorithm in Pe...

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2010 2nd IEEE International Conference on Information Management and Engineering(2010年IEEE第二届信息管理与工程国际会议 IEEE ICIME 2010)

作者： Zhengwei Guo Shuai Yang Huaipo Yang College of Computer&InformationEngineering Institute ofImage Processing&PatternRecognition Henan Uni College of Computer&InformationEngineering Institute ofImage Processing&Pattern Recognition Henan Un College of Computer&Information Engineering Institute of Image Processing&Pattern Recognition Henan

Aiming at the current structured P2P system’s locality of physical location and accessing resources, in the context of P4P technology, this paper takes the Pastry algorithm as a foundation, proposes a P4P routing algorithm, in which peers performed clustering to the same resources and the proximity of physical location of nodes. When routing, the node routes to the nodes which are physical adjacent to it and have the lowest cost of communication. Theory analysis and the experimental results show that the algorithm proposed in this paper has realized localization download and greatly raised the data transfer rate, reduced the load in backbone network and enhanced the network performance.

关键词： P4P Pastry clustering communication costs

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Contour extraction of gait recognition

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Procedia Engineering 2010年 7卷 275-279页

作者： Fan Zhang Rui Li Shuai Liu College of Computer and Information Engineering Henan University Kaifeng 475001 China Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475001 China

Gait recognition is a new biometric identification technology. Its aim is to recognize people and detect physiological, pathological and mental characters by their walk style. The feature extraction of gait is the key step in gait recognition. This paper combines the background subtraction method with symmetric differential method to segment the motion human image, and then extracts the contour of motion human with improved GVF (gradient vector flow) Snake model. The experimental results show that the proposed method can extract contour features effectively for the gait recognition.

关键词： GVF snake models Gait recognition Motion segmentation Contour extraction

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Graph-Based Text Segmentation Using a Selected Channel image

Graph-Based Text Segmentation Using a Selected Channel Image

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Proceedings of the Digital image Computing: Technqiues and Applications (DICTA)

作者： Chao Zeng Wenjing Jia Xiangjian He Jie Yang INEXT FEIT University of Technology Sydney Australia Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

This paper proposes a graph-based method for segmentation of a text image using a selected colour-channel image. The text colour information usually presents a two polarity trend. According to the observation that the histogram distributions of the respective colour channel images are usually different from each other, we select the colour channel image with the histogram having the biggest distance between the two main peaks, which represents the main foreground colour strength and background colour strength respectively. The peak distance is estimated by the mean-shift procedure performed on each individual channel image. Then, a graph model is constructed on a selected channel image to segment the text image into foreground and background. The proposed method is tested on a public database, and its effectiveness is demonstrated by the experimental results.

关键词： Pixel image color analysis image segmentation Histograms Lighting Text recognition Kernel

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Tensor error correction for corrupted values in visual data

Tensor error correction for corrupted values in visual data

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IEEE International Conference on image processing

作者： Yin Li Yue Zhou Junchi Yan Jie Yang Xiangjian He Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University China Faculty of Engineering and Information Technology Sydney University of Technology Australia

The multi-channel image or the video clip has the natural form of tensor. The values of the tensor can be corrupted due to noise in the acquisition process. We consider the problem of recovering a tensor L of visual data from its corrupted observations X = L + S, where the corrupted entries S are unknown and unbounded, but are assumed to be sparse. Our work is built on the recent studies about the recovery of corrupted low-rank matrix via trace norm minimization. We extend the matrix case to the tensor case by the definition of tensor trace norm in. Furthermore, the problem of tensor is formulated as a convex optimization, which is much harder than its matrix form. Thus, we develop a high quality algorithm to efficiently solve the problem. Our experiments show potential applications of our method and indicate a robust and reliable solution.

关键词： Tensile stress Sparse matrices Nickel Matrix decomposition Optimization Visualization Minimization

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Design of distributed warehouse management system based on ***

Design of distributed warehouse management system based on *...

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Pacific-Asia Conference on Circuits, Communications and Systems, PACCS

作者： Fan Zhang Yanbin Cui Institute of Image Processing and Pattern Recognition Henan University Kaifeng China College of Computer and Information Engineering Henan University Kaifeng China

ISBN: (纸本)9781424479689

A distributed warehouse management system is design based on the *** framework. Unlike many frameworks which focus on the database data operation or construct flexible user interface, the proposed project mainly focus on the business logic. According to the ***, the system can easily construct object-oriented business logic layers. This system can be easily configured N layers logical structure running on one to four physical layers. System environment expanded from the traditional local area network to wide area networks, and can meet the requirements of distributed applications. The system uses contact less deployment technology in the distributed environment and can be remotely updated automatically.

关键词： Logistics Security Workstations

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Istree Digital Watermarking Algorithm Based on Contourlet Transform

Istree Digital Watermarking Algorithm Based on Contourlet Tr...

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International Conference on Machine Vision and Human-Machine Interface (MVHI)

作者： Fan Zhang Yuli Xu Rui Li Institute of Image Processing and Pattern Recognition Henan University Kaifeng China College of Computer and Information Engineering Henan University Kaifeng China

In order to protect the copyright of the image, in this paper proposed a novel important sub-tree (Istree) digital watermarking algorithm based on contourlet transform. First, Shuffling is applied by watermarking image for increasing robustness. Second, the original image are decomposed three levels by contourlet transform, and then analysis sub-bands in all directions, according to various levels sub-bands in all direction structure like tree. And find important sub-tree, then Scrambling after the watermark image sequence is embedded in important sub-tree. The experimental results show that the algorithm has a certain degree of robustness and can resistance attack.

关键词： Watermarking Discrete wavelet transforms Discrete transforms Wavelet transforms Discrete Fourier transforms Fourier transforms Robustness Wavelet domain image processing image analysis

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A New Method for Optimizing The Combinational Kernels

A New Method for Optimizing The Combinational Kernels

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The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

作者： XUE TIAN XU YANG Institute of Electrical and Mechanical Engineering Jiaxing University Jiaxing 314001 China Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai 200240

ISBN: (纸本)9781424472352

Tbe optimal kernel selection is a critical problem for the kernel-based learning algorithm. In order to obtain good results, the kernel function must be chosen in a data-dependent manner. To this end, we propose a new feature space based class separability measure to evaluate the conformation of kernels to the data. The optimal combination coefficients of multiple Gaussian functions are obtained by optimizing this measure. Experimental results show that our algorithm outperforms the cross-validation method and the radius margin bound method, and moreover, can further improve the performances of SVM classifiers.

关键词： kernel method combinational kernels kernel optimization pattern recognition

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Interactive Object Extraction Using Hierarchical Graph Cuts

Interactive Object Extraction Using Hierarchical Graph Cuts

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2010 International Conference on Audio,Language and image processing(2010年音频、语言与图像处理国际会议 ICALIP 2010)

作者： Jian Gu Haohao Song Yan Zhang Jie Yang Shengyang Yu The Third Research Institute of Ministry of Public Security Shanghai 200031 China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240

ISBN: (纸本)9781424458653

Foreground object extraction, which aims to accurately separate a foreground object from its background in still images, plays an important role in many computer vision applications. An interactive object extraction method by extending the graph cut approach is presented in this paper. The coarse-tofine object segmentation method makes it efficiently to specify the main object and adjust the detail of object. The user interaction is simplified to drawing a rectangle around the desired object, followed by optional boundary editing. The coarse scale segmentation is performed on the basis of the initial interactive rectangle, the accurate boundary portrayal is performed at the finer scale. A pyramid structure provides a framework for the processing, and this hierarchical structure ensures rapid boundary mapping between pyramid levels. Experimental results on multiple kinds of color images show the effectiveness and convenience of the approach.

关键词： extraction of object Still images Interactive user-computer interaction color image Rectangle images computer vision Line graph

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