There is a growing interest in subspace learning techniques for face recognition. This paper proposes a novel face recognition method based on MPCA with Gabor tensor representation. Although the Gabor face representat...
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There is a growing interest in subspace learning techniques for face recognition. This paper proposes a novel face recognition method based on MPCA with Gabor tensor representation. Although the Gabor face representation has achieved great success in face recognition, the excessive dimension of the data space often brings the algorithms into the curse of dimensionality dilemma. In this paper, we propose a 3rd-order Gabor tensor representation derived from a complete response set of 40 Gabor filters. Then MPCA(Multi-linear Principal Component Analysis) is applied to each Gabor tensor to extract three discriminative *** dimension reduction is done in such a way that most useful information is retained. The subspaces are finally integrated for classification. Experimental results on ORL database show promising results of the proposed method.
Feature descriptor based methods(*** Binary Patterns,Local Ternary Patterns) have gained encouraging results in face *** one needs to manually set the threshold in Local Ternary Patterns(LTP).The threshold in LTP is n...
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ISBN:
(纸本)9781479947249
Feature descriptor based methods(*** Binary Patterns,Local Ternary Patterns) have gained encouraging results in face *** one needs to manually set the threshold in Local Ternary Patterns(LTP).The threshold in LTP is not data adaptive and not robust to *** some cases,we may not give a suitable threshold for *** by Weber's Law,here a data adaptive threshold strategy is prosed for LTP and an enhanced LTP is given for face *** evaluate the enhanced LTP on ORL and FERET face databases and the results demonstrate that the enhanced LTP significantly improves the performances.
The problem of how to emulate a manual welding process by two cooperative robotic manipulators is investigated in this *** emulating process is intrinsically a trajectory planning process for the two cooperative *** o...
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ISBN:
(纸本)9781479947249
The problem of how to emulate a manual welding process by two cooperative robotic manipulators is investigated in this *** emulating process is intrinsically a trajectory planning process for the two cooperative *** of skilled welders and technical requirements in a welding process have been modeled and integrated into the robot trajectory planning *** model of trajectory planing for two cooperative robots doing a welding task is in a constrained optimization form.A Genetic Algorithm solver has been adopted to solve such an optimization ***-connect-pipe welding experiment has been carried out at the end of the paper and the weld results verified the effectiveness of our method.
This paper investigates the robust second-order tracking problem of multi-agent systems without velocity measurements and with input saturation on detailed balanced directed communication topologies, where agents'...
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ISBN:
(纸本)9781467374439
This paper investigates the robust second-order tracking problem of multi-agent systems without velocity measurements and with input saturation on detailed balanced directed communication topologies, where agents' dynamics are subject to uncertain and external disturbances. We first construct one distributed bounded controller for multi-agent systems without uncertain and external disturbances. Then, combined with the controller, one modifying uncertainty and disturbance estimator(UDE)is proposed to approximate the situation where neither the velocity measurements nor their asymptotic estimation is *** is shown that the synchronization errors are bounded and their ultimate bounds could be arbitrarily small by choosing some parameters appropriately. Simulation results are presented to show the effectiveness of the controllers.
This paper studies distributed filtering problem of homogeneous sensor *** part of sensors can get observations of the process and consensus based filters are *** the distributed detectability and the suboptimal filte...
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ISBN:
(纸本)9781479947249
This paper studies distributed filtering problem of homogeneous sensor *** part of sensors can get observations of the process and consensus based filters are *** the distributed detectability and the suboptimal filter design are *** converting the stability problem of estimation errors of sensors under time-varying topologies to the robust stability problem of some uncertain system,two sufficient distributed detectability conditions are *** is LMI-based and the other is given by the eigenvalues of the process matrix and Laplacian matrices.A suboptimal algorithm to design the consensus based filter gains is proposed and the convergence of the algorithm is *** examples are given to illustrate the results.
In this paper, the speed regulation problem for permanent magnet synchronous motor(PMSM) systems under vector control framework is studied. A modified composite control strategy combining model reference adaptive cont...
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ISBN:
(纸本)9781479947249
In this paper, the speed regulation problem for permanent magnet synchronous motor(PMSM) systems under vector control framework is studied. A modified composite control strategy combining model reference adaptive control(MRAC)method and extended state observer(ESO) technology, called MRAC+ESO method, is proposed. controller is designed for the speed loop of the permanent magnet synchronous motor(PMSM) to improve the performance of the system. The stability analysis, simulation and experimental results are presented to show the effectiveness of the proposed control method.
The dynamic linear state feedback control problem is addressed for a class of nonlinear systems subject to ***,using the dynamic change of coordinates,the problem of global state feedback stabilization is solved for a...
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The dynamic linear state feedback control problem is addressed for a class of nonlinear systems subject to ***,using the dynamic change of coordinates,the problem of global state feedback stabilization is solved for a class of time-delay systems under a type of nonhomogeneous growth *** the aid of an appropriate Lyapunov-Krasovskii functional and the adaptive strategy used in coordinates,the closed-loop system can be globally asymptotically stabilized by the dynamic linear state feedback *** growth condition in perturbations are more general than that in the existing *** correctness of the theoretical results are illustrated with an academic simulation example.
Reasonable timing design for traffic light can induce and maintain the transportation systems in good order. How to allocate the time are the keys. In the paper, the theory of time-varying universe is used to describe...
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Reasonable timing design for traffic light can induce and maintain the transportation systems in good order. How to allocate the time are the keys. In the paper, the theory of time-varying universe is used to describe the circle time, and corresponding fuzzy sets on the universe are also discussed to modeling the situation of traffic flow, then the parallel traffic management and control methods which are dynamic with the time change are presented. A simulation example are provided to analyze the linguistic dynamic evolution of timing design of traffic light when the traffic flow is change with time-varying for an intersection.
This paper presents an imaging method for 360-degree panoramic view based on four wide angle *** order to complete the image mosaic,all the parameters such as focal length,principal point and distortion coefficients,e...
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ISBN:
(纸本)9781479970186
This paper presents an imaging method for 360-degree panoramic view based on four wide angle *** order to complete the image mosaic,all the parameters such as focal length,principal point and distortion coefficients,etc are calibrated by our proposed calibration ***,our approach does not adopt the scheme which stitching all the images to the surrounding view after distortion *** proposed method directly calculates the mapping relationship between the wide-angle lens images and cylindrical projection images to generate lookup tables which can greatly simplifies the computation and reduces the loss of information in each ***,panoramic image is composed by image registration and image *** results show that this method is valid.
K-means clustering has been extremely popular in scene image classification. However, due to the random selection of initial cluster centers, the algorithm cannot always provide the most optimal results. In this paper...
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K-means clustering has been extremely popular in scene image classification. However, due to the random selection of initial cluster centers, the algorithm cannot always provide the most optimal results. In this paper, we develop a density-based k-means clustering. First, we calculate the density and distance for each feature vector. Then choose those features with high density and large distance as initial cluster centers. The remaining steps are the same with k-means. In order to evaluate our proposed algorithm, we have conducted several experiments on twoscene image datasets: Fifteen Scene Categories dataset and UIUC Sports Event dataset. The results show that our proposed method has good repeatability. Compared with the traditional k-means clustering, it can achieve higher classification accuracy when applied in multiclass scene image classification.
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