Kernel sparse representation-based classification (KSRC) is currently one of hot research topics in the fields of patternrecognition and computer vision KSRC has excellent classification performance, but is not able ...
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Kernel sparse representation-based classification (KSRC) is currently one of hot research topics in the fields of patternrecognition and computer vision KSRC has excellent classification performance, but is not able to obtain the important information about data locality, resulting in the fact that the discriminating power of sparse representation coefficients yielded by KSRC is reduced. Considering the importance of data locality, in this paper a new classification algorithm based on locality-sensitive kernel sparse representation is proposed for face recognition. The proposed method integrates both sparsity and data locality in the kernel feature space so that it can obtain good discriminating sparse representation coefficients for classification. Experimental results on two benchmarking face databases, i.e., the ORL database and the Extended Yale B database, demonstrate that the proposed method outperforms kernel sparse representation-based classification (KSRC), sparse representation-based classification (SRC), locality-constrained linear coding (LLC), support vector machines (SVM), the nearest neighbor (NN), and the nearest subspace (NS). Therefore, the proposed method is able to achieve promising performance for face recognition.
Electric valve has been applied to various occasions and domains. In some adverse environments where such defects of traditional control system as low efficiency and poor safety have been exposed, optical encoder is a...
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Due to the nonlinear problem existing in the system modeling of maneuvering target tracking, a novel heterogeneous sensor fusion algorithm based on cubature Kalman filter (CKF) is proposed. Considering the accuracy an...
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Due to the nonlinear problem existing in the system modeling of maneuvering target tracking, a novel heterogeneous sensor fusion algorithm based on cubature Kalman filter (CKF) is proposed. Considering the accuracy and real time in target tracking realization, two realization structures, centralized measurements fusion and distributed state fusion, are respectively constructed under the framework of CKF. In the architecture of centralized measurements fusion, the optimal weighted method is used to deal with the azimuth observations from radar and infrared sensors, and then the combination of the fusion result and the radial distance information fused from radar is taken as a group of new measurements. Finally, the CKF algorithm is used for maneuvering target tracking based on new measurements. In the framework of distributed state fusion, in order to achieve the dimension augmenting of the infrared sensor measurements, the radial distance information from radar is fused, and the fusion result is defined as the virtual distance measurement of all infrared sensors, and then the CKFs based on different groups of measurements are applied to obtain the final state estimation of the maneuvering target by means of the distributed weighted fusion. The performance of the two fusion architectures is compared in the simulation scene, and the theoretical analysis and experimental results show the feasibility and efficiency of the proposed algorithm.
An error bit rate (EBR) analysis of digital image watermarking is proposed based on information theory. This work researches how to embed a large number of watermark information in the same time maintaining a low erro...
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This paper conducts a survey of modern binary pattern flavored feature extractors applied to the Facial Expression recognition (FER) problem. In total, 26 different feature extractors are included, of which six are se...
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ISBN:
(纸本)9781479981748
This paper conducts a survey of modern binary pattern flavored feature extractors applied to the Facial Expression recognition (FER) problem. In total, 26 different feature extractors are included, of which six are selected for in depth description. In addition, the paper unifies important FER terminology, describes open challenges, and provides recommendations to scientific evaluation of FER systems. Lastly, it studies the facial expression recognition accuracy and blur invariance of the Local Frequency Descriptor. The paper seeks to bring together disjointed studies, and the main contribution is to provide a solid overview for future research.
For natural numbers n and k, where n > 2k, a generalized Petersen graph P(n,k) is obtained by letting its vertex set be {u1,u 2,..,un} ∪ {u1,v2..,u n} and its edge set be the union of vi v i+1,uivi,ViVi+k over 1 ...
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For natural numbers n and k, where n > 2k, a generalized Petersen graph P(n,k) is obtained by letting its vertex set be {u1,u 2,..,un} ∪ {u1,v2..,u n} and its edge set be the union of vi v i+1,uivi,ViVi+k over 1 ≤ i ≤ n, where subscripts are reduced modulo n. In this paper, an integer programming formulation for Roman domination is established, which is used to give upper bounds for the Roman domination numbers of the generalized Petersen graphs P(n,3) and P(n,4). Together with the dynamic algorithm, we determine the Roman domination number of the generalized Petersen graph P(n, 3) for n ≥ 5.
Gait period detection, serving as a preprocessor for gait recognition, is commonly studied in the recent past. In this paper, we proposed a novel gait period detection method for depth gait video stream. The method in...
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It is a challenging task to develop an effective and robust visual tracking method due to factors such as pose variation, illumination change, occlusion, and motion blur. In this paper, a novel tracking algorithm base...
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The local space-time feature is an effective way to represent video data and achieves state-of-the-art performance in action recognition. However, in majority of cases, it only captures the static or dynamic cues of t...
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In order to classify the objects in nature images, a model with color constancy and principle component analysis network (PCANet) is proposed. The new color constancy model imitates the functional properties of the HV...
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