In this paper, an iris feature-based PKI key generation is proposed. Contributions include a general approach for distinguishable iris feature generation and a PKI key generation mechanism. The proposed method differs...
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Video frame interpolation is an important low-level vision task, which can increase frame rate for more fluent visual experience. Existing methods have achieved great success by employing advanced motion models and sy...
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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...
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This paper developed two learning procedure, respectively, based on the orthogonal least squares (OLS) method and the "Innovation- Contribution" criterion (ICc) proposed newly. The orthogonal use of the step...
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The reasonable design of particle filter framework in multi-sensor observation system is the key to expand the application domain of sampling nonlinear filters. Aiming at the effective realization of particle filter f...
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The reasonable design of particle filter framework in multi-sensor observation system is the key to expand the application domain of sampling nonlinear filters. Aiming at the effective realization of particle filter for multi-sensor target tracking problem, a novel average weight optimization Rao-Blackwellised particle filtering algorithm is proposed. Combining with the kinetic equation of target state evolution, RBPF is used as the basic estimator of algorithm realization. For the rational utilization from multi-sensor observations and the reduction of the adverse influence from random observations noise in measuring process of particles weight, the average weight optimization strategy is used to improve the reliability and stability of particle weight variance. In addition, we give the concrete flow of RBPF in average weight optimization strategy. Finally, the theoretical analysis and experimental results show the feasibility and efficiency of the proposed algorithm.
In this paper we present a new content-based retrieval descriptor, density-based silhouette descriptor (DBS). It characterizes a 3D object with multivariate probability functions of its 2D silhouette features. The new...
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ISBN:
(纸本)9789898565419
In this paper we present a new content-based retrieval descriptor, density-based silhouette descriptor (DBS). It characterizes a 3D object with multivariate probability functions of its 2D silhouette features. The new descriptor is computationally efficient and induces a permutation property that guarantees invariance at the matching stage. Also, it is insensitive to small shape perturbations and mesh resolution. The retrieval performance on several 3D databases shows that the DBS provides state-of-art discrimination over a broad and heterogeneous set of shape categories.
Based on the discrete Fourier transformation (DFT) and Hough transforms, a novel digital watermarking method is proposed. The experiment results show that the algorithm is more robust than the traditional watermark al...
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A novel objective full-reference image quality assessment metric based on Multi-scale Geometric Analysis (MGA) of contourlet transform is proposed. Contourlet transform has excellent properties for image representatio...
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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 imag...
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There is no technique to do a joint analysis of Arterial Spin Labeling(ASL),Single Photon Emission Computed Tomography(SPECT) and Magnetic Resonance Imaging(MRI) *** this paper,we propose a method to realize multimoda...
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ISBN:
(纸本)9781509001668
There is no technique to do a joint analysis of Arterial Spin Labeling(ASL),Single Photon Emission Computed Tomography(SPECT) and Magnetic Resonance Imaging(MRI) *** this paper,we propose a method to realize multimodality image registration,enhancing fusion and features calculation of 3D volume of *** mutual information registration,VTK image fusion,pseudo-color mapping,spline interpolation,3D tomographic interpolation,region growth and other algorithms,we build a joint analysis *** test results show that this system provides accurate registration function and more distinguishable images for the ***,gray average of pathological brain area is calculated as regional cerebral blood flow(r CBF),which provides the basis for clinicians to make confirmed diagnoses.
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