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International Conference on Audio, Language and image processing, ICALIP

作者： Zhuoyi Zhao Yu Qiao Jie Yang Li Bai Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China School of Computer Science University of Nottingham Nottingham UK

ISBN: (纸本)9781479939046

Graph matching (GM) is a fundamental problem in computer science, and it has been successfully applied to provide solutions to many problems in computer vision. In this paper, we consider GM as a clustering problem in an association graph whose nodes represent candidate correspondences between two graphs to be matched. And we take the dense subgraph as a good prior for correct correspondences, thus we propose a label propagation approach to expand the dense subgraph to resolve the whole cluster. The label propagation approach is achieved by an affinity-preserving manifold ranking algorithm with a dynamic label vector which enforces the matching constraints. And the matching constraints is introduced through a doubly-stochastic normalization procedure. Extensive experiments demonstrate that our algorithm outperforms the state-of-the-art GM algorithms especially in the presence of outliers and deformation.

关键词： Manifolds Vectors Clustering algorithms Accuracy Heuristic algorithms Sparse matrices Noise

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An efficient and scalable learning algorithm for Near-Earth objects detection in astronomy big image data

An efficient and scalable learning algorithm for Near-Earth ...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Ke Wang Ping Guo School of computer Science and Technology Beijing Institute of Technology Beijing P.R. China Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing P.R. China

ISBN: (纸本)9781479938414

In this paper, we investigate the efficiency and scalability of Gaussian mixture model based learning algorithm for the detection of Near-Earth objects in large scale astronomy image data. We propose an effective scheme to reduce the computational complexity of current learning algorithm, this is achieved by adopting the perceptual image hashing method. Our proposed scheme is validated on raw astronomy image data. The experiment results illustrate that both efficiency and scalability are improved significantly in astronomical scenario and other scenario.

关键词： Astronomy Scalability Big data Data mining Gaussian distribution Hamming distance Gaussian mixture model

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Speed estimation for scene objects using stereo visual odometry methods

Speed estimation for scene objects using stereo visual odome...

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2013 IEEE 9th International Conference on Intelligent computer Communication and processing, ICCP 2013

作者： Golban, Catalin Nedevschi, Sergiu Image Processing and Pattern Recognition Group Computer Science Department Technical University of Cluj-Napoca Romania

ISBN: (纸本)9781479914937

This paper proposes a novel method to determine the speed of the surrounding vehicles in traffic scenarios. Relying on the video information obtained from a stereo camera mounted on a moving vehicle, we first determine the vehicle ego motion based on static scene features then we determine the relative motion between objects based on features situated on the moving objects. For robustness to false feature matches everything is plugged into a multi-RANSAC framework. The novelty of the method consist in the fact that the relative motion between the objects can be determined with the same algorithm that was previously used for ego motion estimation, the only difference consisting in the geometric constraints that are imposed to the subset of point features considered for inliers set detection and evaluation. Also, the proposed method does not rely on the fact that objects are detected previously and it does not detect the objects. © 2013 IEEE.

关键词： Vehicles

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Publishing rdf from relational database based on d2R improvement

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WSEAS Transactions on Information science and Applications 2013年第8期10卷 241-248页

作者： Chen, Ying Zhao, Xiaoming Zhang, Shiqing Department of Computer Science Taizhou University 605 Dongfang Avenue Linhai Taizou Zhejiang China Institute of Image Processing and Pattern Recognition Taizhou University 605 Dongfang Avenue Linhai Taizou Zhejiang China

As a key technology to implement Semantic Web, linked data have gradually been an academic and industrial concern. Linked data represents a practice of technologies on the web and linked structure data. The goal of linked data is to enable people to share structured data on the web as easily as they can share documents today. On the Web of data structured with linked data, users can jump from one dataset to another. Compared with the Web of document which enables one to jump from one document to another, data Web provides much more links and has semantics. Mapping relational databases to RDF is a fundamental problem for the development of linked data. This paper firstly makes an improvement with R2RML to open source software named D2R which can publish linked data, and then takes an example of the data concerning a college enrollment in Sichuan of China in 2011, demonstrating that we can publish the data in RDB into RDF as linked data through the new approach more efficient and make it browsable.

关键词： Linked data

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Algorithm Research and Real-time Simulation of Neural Network Sliding Mode Position Control

Algorithm Research and Real-time Simulation of Neural Networ...

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第25届中国控制与决策会议

作者： LI Wei ZHANG Yanyu GAO Yong CHAI Xiuli Institute of Image Processing and Pattern Recognition Henan University School of Computer and Information Engineering Henan University School of Automation Science and Engineering Beihang University

ISBN: (纸本)9781467355339

This paper presents a neural network sliding mode control algorithm for position control of modular robot. This method adopts BP neural network to approximate the functional relation between the sliding hyperplane and the exponential approximation rate. At the same time, the saturation function of sliding mode control algorithm is replaced by a hyperbolic tangent function to realize the boundary design method of the sliding mode control. The results of real-time simulation show that the algorithm proposed in this paper has the merits of fast response, strong robustness, and reducing the chattering of sliding mode control. This method solves the problems that conventional PID algorithm can’t solve under some circumstances, such as complicated environment, great load change, etc.

关键词： Robot control actuator sliding mode control neural network control

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An improved 3D edge surface tracking algorithm based on 3D fractional-order differentiation within confocal microscopy images

An improved 3D edge surface tracking algorithm based on 3D f...

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4th International Conference on Intelligence science and Big Data Engineering, IScIDE 2013

作者： Ma, Yu Zhang, Yanning Wang, Lisheng Institute of Computer Science Northwestern Polytechnical University Xi'an 710129 China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200240 China

ISBN: (纸本)9783642420566

Fractional-order differentiation enhances the image nonlinearly, but only has been applied in the 2D image. The 2D fractional differentiation operator is extended to 3D and the 3D fractional differentiation discrete filtering masks are deduced. The 3D fractional differentiation is implemented to improve the traditional 3D image edge surface tracking algorithm in two aspects. Firstly, the 3D data fields of neuron slices are enhanced by the 3D fractional differentiation, ensures more detailed structures of edge surfaces with low contrast are extracted. Then integral-order gradient is modified by the fractional differentiation to get more 3D detailed structures. The proposed method has been applied to 3D confocal microscopy images, and more 3D detail structures of neuron are tracked compared to the traditional 3D edge surface tracking algorithm. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： image enhancement

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Feature points matching algorithm in DSA image registration

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Journal of Computational Information Systems 2013年第1期9卷 113-120页

作者： Zhang, Fan Hou, Yabin Cui, Yanbin Zhang, Xinhong Institute of Image Processing and Pattern Recognition Henan University Kaifeng 475001 China Equipment Management Department Henan University Kaifeng 475001 China College of Computer and Information Engineering Henan University Kaifeng 475001 China

Motion artifacts of digital subtraction angiography (DSA) are usually corrected by image registration. image registration is the process of transforming different sets of feature points into one coordinate system. Mismatches between the two sets of feature points will directly affect the image registration, and thus cause a lot of artifacts in the subtraction images. In this paper, a feature points matching algorithm is proposed. The similarity measure of feature point neighborhood is used to find the corresponding feature points, and delete a large number of non-existent corresponding feature points. It will improve image registration of DSA effectively. © 2013 Binary Information Press.

关键词： image registration

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A new method for removing random-valued impulse noise

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8836卷 9-16页

作者： Jin, Qiyu Bai, Li Yang, Jie Grama, Ion Liu, Quansheng Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University No. 800 Dongchuan Road Minhang District Shanghai200240 China School of Computer Science University of Nottingham United Kingdom Laboratoire de Mathmatiques de Bretagne Atlantique Université de Bretagne-Sud UMR 6205 Campus de Tohaninic BP 573 Vannes56017 France

A new algorithm for removing random-valued impulse noise is *** use a standardized version of the Rank Ordered Absolute Differences statistic of Garnett et al. [1] to attribute weights to noisy pixels. These weights are then incorporated into the Optimal Weights Filter approach from [2,3] to construct a new filter. Simulation results show that our method performs significantly better than a number of existing techniques. © Springer International Publishing Switzerland 2014.

关键词： Bandpass filters

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Robust visual tracking based on online learning of joint sparse dictionary

Robust visual tracking based on online learning of joint spa...

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6th International Conference on Machine Vision, ICMV 2013

作者： Li, Qiaozhe Qiao, Yu Yang, Jie Bai, Li Key Laboratory of Ministry of Education for System Control and Information Processing Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China School of Computer Science University of Nottingham Nottingham United Kingdom

ISBN: (纸本)9780819499967

In this paper, we propose a robust visual tracking algorithm based on online learning of a joint sparse dictionary. The joint sparse dictionary consists of positive and negative sub-dictionaries, which model foreground and background objects respectively. An online dictionary learning method is developed to update the joint sparse dictionary by selecting both positive and negative bases from bags of positive and negative image patches/templates during tracking. A linear classifier is trained with sparse coefficients of image patches in the current frame, which are calculated using the joint sparse dictionary. This classifier is then used to locate the target in the next frame. Experimental results show that our tracking method is robust against object variation, occlusion and illumination change. © 2013 SPIE.

关键词： E-learning

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Patching Method for Coverage Holes with Distance-Assistant in Wireless Sensor Networks

Patching Method for Coverage Holes with Distance-Assistant i...

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2013 International Conference on computer,Networks and Communication Engineering(ICCNCE 2013)

作者： Zhengwei Guo Lin Zhu Department of Computer and Information Engineering Institute of Image Processing and Pattern Recognition Henan University Department of Computer and Information Technology Shangqiu Normal University

ISBN: (纸本)9781629932170

An effective approach for coverage holes was proposed, called Distance-assistant Coverage Hole Parching (DACHP) strategy. DACHP strategy would achieve the purpose of patching coverage holes using redundant sensor nodes within the wireless sensor networks. Simulation results show, compared with DFNFP and random algorithm, for the same size and shape coverage hole, DACHP can awaken five redundant nodes to patch 92.19% of hole, yet DFNFP needs awaken nine redundant nodes and just patch 90.28%. It can be seen that DFNFP not only awaken four extra nodes, but also is lower 1.19% in patching rate of hole than DACHP. In addition, DACHP is more stable in utilization of redundant nodes and does not produce additional cost.

关键词： wireless sensor networks coverage holes patching holes nodes utiliza

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