In this paper, we present an adaptive particle size setting method in Lagrangian-approach based screen space splatting algorithm in real-time fluid rendering. The particle radius will be adjusted according to its Webe...
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Subdivision algorithm defines a very powerful way of constructing smooth, continuous, seamless surface. This paper proposed to construct families of interpolating subdivision from approximating subdivision by combinin...
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In order to improve the readability of scene, this paper presents a method of dynamic labeling of buildings in 3D virtual city. This method, based on 3D buildings model, sets up candidate positions for labeling first,...
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Analysis sparse model has been successfully used for a variety of tasks such as image denoising, deblurring, and most recently compressed sensing, so it arouses much attention. K-SVD is a mature dictionary learning ap...
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The demand of virtual 3D models is growing rapidly with the development of city informatization and digitalization. Buildings are essential objects of virtual city. Over the years, researchers have made considerable p...
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This paper is devoted to the problem of state estimate of discrete-time stochastic systems with Markov jump parameters. A robust algorithm-diagonal interacting multiple model algorithm based on H_∞ filtering (DIMMH) ...
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ISBN:
(纸本)9781479901777
This paper is devoted to the problem of state estimate of discrete-time stochastic systems with Markov jump parameters. A robust algorithm-diagonal interacting multiple model algorithm based on H_∞ filtering (DIMMH) is presented for maneuvering target tracking when measurement noise is of unknown statistics. Extensive Monte Carlo simulations show the effectiveness and superiority of the proposed algorithm.
This paper is devoted to the finite-time control problem for multiple manipulators, where unmodeled dynamics is taken into consideration. An effective coordinated control strategy is introduced, under which distribute...
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ISBN:
(纸本)9781479901777
This paper is devoted to the finite-time control problem for multiple manipulators, where unmodeled dynamics is taken into consideration. An effective coordinated control strategy is introduced, under which distributed protocols with continuous feedbacks are proposed. By applying the homogeneous theory for stability analysis, it is proven that the multi-robot system can be globally finite-time stabilized through our protocols. Numerical simulations on four manipulators with two degrees of freedom are presented to validate the effectiveness of the control strategy.
In this paper, we address the problem of multitarget tracking with unknown measurement noise variance parameters by the probability hypothesis density (PHD) filter. Based on the concept of conjugate prior distribution...
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ISBN:
(纸本)9781467357159
In this paper, we address the problem of multitarget tracking with unknown measurement noise variance parameters by the probability hypothesis density (PHD) filter. Based on the concept of conjugate prior distributions for noise statistics, the inverse-Gamma distributions are employed to describe the dynamics of the noise variance parameters and a novel implementation to the PHD recursion is developed by representing the predicted and the posterior intensities as mixtures of Gaussian-inverse-Gamma terms. As the target state and the noise variance parameters are coupled in the likelihood functions, the variational Bayesian approximation approach is applied so that the posterior is derived in the same form as the prior and the resulting algorithm is recursive. A numerical example is provided to illustrate the effectiveness of the proposed filter.
This paper studies the problem of state estimation for jump Markov linear systems with uncompensated biases. By describing the state and the measurement biases as additive random variables, a suboptimal filter has bee...
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ISBN:
(纸本)9781479901777
This paper studies the problem of state estimation for jump Markov linear systems with uncompensated biases. By describing the state and the measurement biases as additive random variables, a suboptimal filter has been developed by applying the basic interacting multiple model (IMM) approach. To derive a precise representation of the biases contributions to the state estimation, three auxiliary matrices are introduced with respect to the correlation between the state estimation errors and the biases, which helps to derive mode-conditioned estimates in the framework of the IMM. A numerical example involving tracking a maneuvering target is provided to compare the performance of the proposed filter with that of the augmented state filter.
In concatenating-based sign language synthesis, sign language words are usually captured in context free environment to construct database, and then the words corresponding with the input nature text are selected from...
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