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International Conference on Wireless Communications and Signal processing (WCSP)

作者： Long Zhang Xuejin Chen CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei P. R. China

3D reconstruction from multiple-view images has drawn a lot of attentions in computer graphics and computer vision communities. Traditional techniques usually end at discrete 3D point clouds computed from feature correspondence. However, geometric structure remains ambiguous in these unstructured point clouds, especially for man-made objects like buildings, indoor scenes. This paper proposes a new method to automatically reconstruct the main geometric structure of the scene composed of planar faces. First, dense 3D point clouds are reconstructed by applying patch-based multi-view stereo (PMVS) algorithm [1]. Then 3D planar primitives are extracted using a RANSAC-based approach [2]. We present a novel method to analyze the adjacency relations of the planar primitives to estimate the 3D intersection lines on the corresponding faces. Junctions and polygonal faces are computed from the 3D intersection lines along with complementary image information to compose the topology structure. Finally, texture for each face is extracted from the image under the best view. Experimental results demonstrate the feasibility of our system by successfully reconstructing the main structure of a wide range of scenes and constructing a texture-mapped piecewise-planar 3D model from images in multiple views.

关键词： Three-dimensional displays Image reconstruction Solid modeling Computational modeling Junctions Topology Surface reconstruction

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Compressive tracking via appearance modeling based on structural local patch

Compressive tracking via appearance modeling based on struct...

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International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)

作者： Xiaoyu Hu Hongquan Yun Delie Ming Tian Tian National Key Laboratory of Science and Technology on Multi-spectral Information Processing Huazhong University of Science and Technology Wuhan China National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing Aerospace Automatic Control Institute Beijing China

In this paper, we propose a compressive tracking method via appearance model based on structural local patchs and improved Haar-like feature. In contrast to previous compressive tracking only considering the holistic representation, an object can be represented by local image patches with spatial layout in an object. This representation takes advantage of both partial information and spatial information of the target. Each local patch has a fixed position in the target field, and all local patches can represent the whole target. In addition, our appearance model based on features extracted from image patches, which can guarantee the randomness of the rectangular boxes and the distribution of the rectangular boxes over the entire image area, avoiding the randomness of the rectangular boxes is too strong to weak the feature expression. We sample the positive and negative samples and divide them into patchs to train a binary classification via a naive Bayes classifier with online update, then the classifier is used to discriminate the candidate samples. The candidate sample which gets the highest classify score is the target. After that we draw positive and negative samples in the same way with the candidate samples to update the classifier to get ready for next frame. Our approach helps not only locate the target more accurately but also can handle partial occlusion effectively. The proposed tracker is compared with several state-of-the-art trackers on some challenging video sequences. Our proposed tracker is better and more stable in both quantitative and qualitative comparisons.

关键词： Decision support systems Target tracking Feature extraction Erbium Laboratories Aerospace control Compressed sensing

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Robust edge detection based on anisotropic mathematical morphology and scale multiplication in NSCT domain

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2nd International Conference on Materials Science and Mechanical Engineering, ICMSME 2014

作者： Dai, Yi Mian Wu, Yi Quan College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210016 China Key Laboratory of Freshwater Fisheries and Germplasm Resources Utilization Ministry of Agriculture Freshwater Fisheries Research Center Chinese Academy of Fishery Sciences Wuxi 214081 China Key laboratory of Fishery Equipment and Engineering Ministry of Agriculture of the People's Republic of China Shanghai 200092 China Jiangsu Key Laboratory of Quality Control and Further Processing of Cereals and Oils Nanjing University of Finance Economics Nanjing 210046 China

ISBN: (纸本)9783038351689

A novel edge detection method based on anisotropic mathematical morphology and scale multiplication in nonsubsampled contourlet transform (NSCT) domain is proposed to obtain a superior and robust performance under heavy noise. One preliminary result is obtained using anisotropic morphological gradient of the low-frequency component, yielding a single-pixel response with few pseudo edges. Due to the great ability of NSCT to localize distributed discontinuities such as edges, scale multiplication results of high-frequency components can get rid of a large amount of noise and produce well-localized edge candidates. The final result is a fusion of the detection results of low-frequency component and high-frequency components. Detailed experiments compared with other state-of-the-art methods demonstrate that the proposed method has a superior performance of edge detection and is quite robust even under heavy noise. © (2014) Trans Tech Publications, Switzerland.

关键词： Edge detection

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A cloaking-based approach to protect location privacy in location-based services 33

A cloaking-based approach to protect location privacy in loc...

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Proceedings of the 33rd Chinese control Conference, CCC 2014

作者： Zheng, Jiangyu Tan, Xiaobin Zou, Cliff Niu, Yukun Zhu, Jin CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230026 China Department of Automation University of Science and Technology of China Hefei230026 China Department of Electrical Engineering and Computer Science University of Central Florida OrlandoFL32816-2362 United States

ISBN: (纸本)9789881563842

With the widespread use of mobile devices, the location-based service (LBS) applications become increasingly popular, which introduces the new security challenge to protect user's location privacy. On one hand, a user expects to report his own location as far as possible away from his real location to protect his location privacy. On the other hand, in order to obtain high quality of service (QoS), users are required to report their locations as accurate as possible. To achieve the dedicated tradeoff between privacy requirement and QoS requirement, we propose a novel approach based on cloaking technique. We also discuss the disadvantage of the traditional general system model and propose an improved model. The basic idea of our approach is to select a sub-area from the generated cloaking area as user's reported location. The sub-area may not contain a user's real location, which prevents an adversary from performing attack with side information. Specifically, by defining an objective function with a novel location privacy metric and a QoS metric, we are able to convert the privacy issue to an optimization problem. Then, location privacy metric and QoS metric are given. To reduce the complexity of the optimization, a heuristic algorithm is proposed. Through privacy-preserving analysis and comparison with related work [8], we demonstrate the effectiveness and efficiency of our approach. © 2014 TCCT, CAA.

关键词： Location based services

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Mixed H2/H∞Model Predictive control for systems with Energy-bounded Disturbance

Mixed H2/H∞Model Predictive Control for Systems with Energy...

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第三十二届中国控制会议

作者： LI Jiwei LI Dewei XI Yugeng LU Jianbo Department of Automation Shanghai Jiao Tong UniversityKey Laboratory of System Control and Information ProcessingMinistry of Education

ISBN: (纸本)9781479900305

This paper designs a mixed H/Hmodel predictive algorithm for systems with energy-bounded *** formulation of H/Hperformance in previous work is improved by introducing a slack ***,we decouple the formulation of H/Hperformance from the formulation of input and state constraints by dilated LMI *** two aspects are combined to develop a less conservative control *** feasibility of the algorithm is able to be proved and stability of the controlled system is *** example shows the effectiveness of the proposed algorithm.

关键词： Mixed H2/H_∞control model predictive control dilated LMI technique constraints

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Multiple-model Off-line Predictive control for Fast Time-varying systems

Multiple-model Off-line Predictive Control for Fast Time-var...

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第25届中国控制与决策会议

作者： Xiangyuan Tao Ning Li Shaoyuan Li the department of Automation Shanghai Jiao Tong University and key laboratory of system control and information processing ministry of education

ISBN: (纸本)9781467355339

To track the wide range of operating points of fast time-varying processes, a novel multiple model off-line predictive control algorithm is presented. The proposed method is a combination of multiple model strategy and predictive control. Firstly, we locally describe the original nonlinear system around an operating point employing linear time varying (LTV) model. Then the offline model predictive control (OMPC) algorithm is adopted to design local controller for LTV model, whose low computation burden makes it be able to control the fast time-varying process. To track the wide range of operating point, the multiple-model strategy is exploited. By estimating the stable region of local OMPC and selecting appropriate middle operating points, the stable switch between controllers can be guaranteed. Finally, a numerical simulation is given to illustrate the implementation and effectiveness of the proposed method.

关键词： Multiple model offline robust model predictive control large operating regions switching stability.

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A Fast Algorithm for MPC Based on Aggregation Strategy

A Fast Algorithm for MPC Based on Aggregation Strategy

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第25届中国控制与决策会议

作者： Cunsheng Lu Dewei Li Yugeng Xi Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education

ISBN: (纸本)9781467355339

Improving the computational efficiency for model predictive control (MPC) becomes the focus of recent researches. This paper proposes a fast algorithm to solve the quadratic programming (QP) problem of MPC for systems with only input constraints. This algorithm improves the efficiency of the fast gradient approach. Inspired by the multiplexed way, this algorithm searches a better solution of QP problem along the direction of one input channel in every iteration. Meanwhile, in order to further reduce the online computational complexity, the proposed algorithm applies the aggregation strategy to each input channel. Due to the aggregation strategy and the determined optimization direction, the proposed algorithm reduces the number of vector multiplications of each iteration, i.e. with less online computational complexity than previous works. Applying the proposed algorithm, simulations for a system with 3 inputs show that computational efficiency of this algorithm can reach a level of tens of microseconds in Matlab environment.

关键词： Model Predictive control, Quadratic Programming, Aggregation strategy, Computational Complexity

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Prediction of TBM Penetration Rate Based on The Model of PLS-FNN

Prediction of TBM Penetration Rate Based on The Model of PLS...

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第25届中国控制与决策会议

作者： Fei Ling Wang Jingcheng Ge Yang Li Chuang Zhang Langwen Department of Automation Shanghai Jiaotong University and Key Laboratory of System Control and Information Processing Ministry Of Education Of China

ISBN: (纸本)9781467355339

Many researches on the prediction of the penetration rate of the tunneling boring machine (TBM) have been carried out. The prediction of the penetration rate will contribute to reduce the danger of TBM construction, decrease the cost and provide the support for the construction planning. Most methods for predicting penetration rate rely on the fixed equation relationship between the input parameters and output parameters. In this paper, we build up a dynamic model. We mainly make use of the partial least squares regression algorithm (PLS) and the structure of the fuzzy-neuron network (FNN) to build up the model. All the data should be normalized. We randomly select 120 groups of the data from TBM construction as the training data and 33 groups of data as the testing data. The training and testing results are analyzed by the mean square error and the correlation coefficient. At the same time, we compare the prediction of the PLS-FNN model with the prediction of the FNN model. The simulation result shows that the PLS-FNN model has the good performance for the prediction.

关键词： TBM, Rate Of Penetration, PLS, Fuzzy-Neuron Network

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Data cleansing base on subgraph comparison

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Computer Modelling and New Technologies 2014年第1期18卷 52-60页

作者： Li, Huang College of Computer Science and Technology Wuhan University of Science and Technology China Hubei Province Key Laboratory of Intelligent Information Processing Real-time Industrial System China

With the quick development of the semantic web technology, RDF data explosion has become a challenging problem. Since RDF data are always from different resources, which may have overlap with each other, they could have duplicates. These duplicates may cause ambiguity and even error in reasoning. However, attentions are seldom paid to this problem. In this paper, we study the problem and give a solution, named K-radius sub graph comparison (KSC). The proposed method is based on RDF-Hierarchical Graph Model. KSC combines similar and comparison of 'context' to detect duplicate in RDF data. Experiments on publication datasets show that the proposed method is efficient in duplicate detection of RDF data. And KSC is simpler and less time-costs than other methods of graph comparison.

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Saturated Scheduling Anti-windup Design: Static Case

Saturated Scheduling Anti-windup Design: Static Case

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第26届中国控制与决策会议

作者： Xiongjun Wu Kun Cai Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China The 802 Institute of Shanghai Academy of Space Flight Technology The Eighth Academy of China Aerospace Science and Technology Corporation

A saturation allowed scheduled anti-windup design method is proposed in this paper for the linear systems subject to input saturation. We introduced the scheduled controller design method into the anti-windup scheme, in which a family of controllers are designed. These controllers are activated depending on the response of the system, rather than only considering the worst noise case off-line. Also, the delayed activation scheme is introduced into the scheduled antiwindup mechanism, i.e., the physical actuator is activated when it really need to, and then the most aggressive controller is activated. In this proposed scheme, since the saturation is allowed and no hard constraint is needed to imposed on the controller input, we can makes fuller utilization of the available actuator capacity. The proposed anti-windup scheme provides the system stability and guaranteed peak-to-peak gain. The control strategy is carried out under the scheme of state feedback and the main results are presented in linear matrix inequality forms. The advantage of the proposed saturated allowed scheduling anti-windup scheme against the traditional saturation avoid method is illustrated through a numerical example.

关键词： Actuator saturation,saturated anti-windup,peak-to-peak gain,scheduling control.

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