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Multi-Patch Black-White Topology Optimization in Isogeometric Analysis
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作者 Qingyuan Hu Yuan Liang +2 位作者 Menghao Liu Manfeng Hu Yawen Mao 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第1期459-481,共23页
Topological optimization plays a guiding role in the conceptual design process.This paper conducts research on structural topology optimization algorithm within the framework of isogeometric analysis.For multi-compone... Topological optimization plays a guiding role in the conceptual design process.This paper conducts research on structural topology optimization algorithm within the framework of isogeometric analysis.For multi-component structures,the Nitsche’smethod is used to glue differentmeshes to performisogeometricmulti-patch analysis.The discrete variable topology optimization algorithm based on integer programming is adopted in order to obtain clear boundaries for topology optimization.The sensitivity filtering method based on the Helmholtz equation is employed for averaging of curved elements’sensitivities.In addition,a simple averaging method along coupling interfaces is proposed in order to ensure the material distribution across coupling areas is reasonably smooth.Finally,the performance of the algorithm is demonstrated by numerical examples,and the effectiveness of the algorithm is verified by comparing it with the results obtained by single-patch and ABAQUS cases. 展开更多
关键词 Isogeometric topology optimization nitsche multi-patch integer programming
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基于多补丁和多尺度层级聚合网络的快速非均匀图像去雾 被引量:3
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作者 杨坤 张娟 方志军 《计算机科学》 CSCD 北大核心 2021年第11期250-257,共8页
尽管基于卷积神经网络的去雾算法在合成的均匀雾气数据集上已经取得了巨大进展,但在真实的非均匀有雾图像上仍然表现不佳。为了快速有效地去除图像中的非均匀雾气,文中首先提出了一种多补丁和多尺度层级聚合网络结构(Multi-patch and Mu... 尽管基于卷积神经网络的去雾算法在合成的均匀雾气数据集上已经取得了巨大进展,但在真实的非均匀有雾图像上仍然表现不佳。为了快速有效地去除图像中的非均匀雾气,文中首先提出了一种多补丁和多尺度层级聚合网络结构(Multi-patch and Multi-scale Hierarchical Aggregation Network,MPSHAN),融合了多补丁局部化信息和多尺度全局化信息。其次,提出了层级融合模块(Hierarchical Fusion Module,HFM),既解耦了残差融合以实现更丰富的非线性特征表达,又通过通道注意力机制提升了关键位置的特征融合质量。同时,对层级结构使用扩张卷积获得多尺度信息,增强特征图以优化融合效果。此外,在损失函数中加入频域损失以恢复更好的边缘质量。实验结果表明,所提算法在非均匀雾气图像上具有很好的鲁棒性,1200×1600高分辨率图像的平均处理时间仅有0.044 s,相比其他去雾算法,其在图像去雾效果和运行时间之间实现了更好的平衡。 展开更多
关键词 多补丁 多尺度 层级融合模块 注意力机制 扩张卷积 图像去雾
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A High-Accuracy Single Patch Representation of Multi-Patch Geometries with Applications to Isogeometric Analysis 被引量:2
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作者 Jinlan Xu Ningning Sun Gang Xu 《Computer Modeling in Engineering & Sciences》 SCIE EI 2020年第8期627-642,共16页
This paper presents a novel approximating method to construct highprecision single-patch representation of B-spline surface from a multi-patch representation for isogeometric applications.In isogeometric analysis,mult... This paper presents a novel approximating method to construct highprecision single-patch representation of B-spline surface from a multi-patch representation for isogeometric applications.In isogeometric analysis,multi-patch structure is not easy to achieve high continuity between neighboring patches which will reduce the advantage of isogeometric analysis in a sense.The proposed method can achieve high continuity at surface stitching region with low geometric error,and this technique exploits constructing the approximate surface with several control points are from original surfaces,which guarantees the local feature of the surface can be well-preserved with high precision.With the proposed approximating method,isogeometric analysis results using the new single-patch can be obtained efficiently compared with the original multi-patch structure.Several examples are presented to illustrate the effectiveness,accuracy and efficiency of the proposed method. 展开更多
关键词 Isogeometric analysis patch merging multi-patch structure computational efficiency
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Multi-patch multi-group epidemic model with varying infectivity
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作者 Raphaël Forien Guodong Pang Étienne Pardoux 《Probability, Uncertainty and Quantitative Risk》 2022年第4期333-364,共32页
This paper presents a law of large numbers result,as the size of the population tends to infinity,of SIR stochastic epidemic models,for a population distributed over distinct patches(with migrations between them)and d... This paper presents a law of large numbers result,as the size of the population tends to infinity,of SIR stochastic epidemic models,for a population distributed over distinct patches(with migrations between them)and distinct groups(possibly age groups).The limit is a set of Volterra-type integral equations,and the result shows the effects of both spatial and population heterogeneity.The novelty of the model is that the infectivity of an infected individual is infection age dependent.More precisely,to each infected individual is attached a random infection-age dependent infectivity function,such that the various random functions attached to distinct individuals are i.i.d.The proof involves a novel construction of a sequence of i.i.d.processes to invoke the law of large numbers for processes in,by using the solution of a MacKean-Vlasov type Poisson-driven stochastic equation(as in the propagation of chaos theory).We also establish an identity using the Feynman-Kac formula for an adjoint backward ODE.The advantage of this approach is that it assumes much weaker conditions on the random infectivity functions than our earlier work for the homogeneous model in[20],where standard tightness criteria for convergence of stochastic processes were employed.To illustrate this new approach,we first explain the new proof under the weak assumptions for the homogeneous model,and then describe the multipatch-multigroup model and prove the law of large numbers for that model. 展开更多
关键词 Stochastic epidemic model multi-patch multi-group Varying infectivity SIR model Law of large numbers Feynman-Kac formula Poisson-driven(McKean-Vlasov type)stochastic equations Propagation of chaos
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Perceptual Image Outpainting Assisted by Low-Level Feature Fusion and Multi-Patch Discriminator
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作者 Xiaojie Li Yongpeng Ren +5 位作者 Hongping Ren Canghong Shi Xian Zhang Lutao Wang Imran Mumtaz Xi Wu 《Computers, Materials & Continua》 SCIE EI 2022年第6期5021-5037,共17页
Recently,deep learning-based image outpainting has made greatly notable improvements in computer vision field.However,due to the lack of fully extracting image information,the existing methods often generate unnatural... Recently,deep learning-based image outpainting has made greatly notable improvements in computer vision field.However,due to the lack of fully extracting image information,the existing methods often generate unnatural and blurry outpainting results in most cases.To solve this issue,we propose a perceptual image outpainting method,which effectively takes the advantage of low-level feature fusion and multi-patch discriminator.Specifically,we first fuse the texture information in the low-level feature map of encoder,and simultaneously incorporate these aggregated features reusability with semantic(or structural)information of deep feature map such that we could utilizemore sophisticated texture information to generate more authentic outpainting images.Then we also introduce a multi-patch discriminator to enhance the generated texture,which effectively judges the generated image from the different level features and concurrently impels our network to produce more natural and clearer outpainting results.Moreover,we further introduce perceptual loss and style loss to effectively improve the texture and style of outpainting images.Compared with the existing methods,our method could produce finer outpainting results.Experimental results on Places2 and Paris StreetView datasets illustrated the effectiveness of our method for image outpainting. 展开更多
关键词 Deep learning image outpainting low-level feature fusion multi-patch discriminator
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Dynamic analysis of the composite laminated repaired perforated plates by using multi-patch IGA method 被引量:1
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作者 Jamshid FAZILATI Vahid KHALAFI 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2021年第1期266-280,共15页
The bonded repair techniques seem to be the most frequent procedures in the aviation maintenance.The achieved composite repaired perforated thin-walled plate is a complex geometry with high numerical analysis cost.The... The bonded repair techniques seem to be the most frequent procedures in the aviation maintenance.The achieved composite repaired perforated thin-walled plate is a complex geometry with high numerical analysis cost.The NURBS-based Isogeometric Analysis(IGA)proposes a sensible and affordable tool to carry out such geometry analysis.In this context,a well-known technique is to divide the original geometry assembly into number of simple neighbors connected geometries.In the present study the free vibration analysis of the perforated plates repaired on one side with an external bonded composite laminated patch is investigated.A multi-patch geometry modeling approach is implemented in line with the first order shear deformation theory of plates.In order to hold the geometry integrity and uniformity,all the degrees of freedom between adjacent geometry patches are completely tied through implementing a Nitsche method.To show the effectiveness and accuracy of the developed formulation,some representative results are extracted and compared with those from literature.The effects of geometrical as well as material parameters including boundary condition,cutout shape,and repair layup on the dynamic response of the repaired perforated plates are then investigated. 展开更多
关键词 Composite laminate Perforated plate Bonded repair Isogeometric analysis(IGA) multi-patch model
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Role of short-term dispersal on the dynamics of Zika virus in an extreme idealized environment
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作者 Victor M.Moreno Baltazar Espinoza +2 位作者 Derdei Bichara Susan A.Holechek Carlos Castillo-Chavez 《Infectious Disease Modelling》 2017年第1期21-34,共14页
In November 2015,El Salvador reported their first case of Zika virus(ZIKV)infection,an event followed by an explosive outbreak that generated over 6000 suspected cases in a period of two months.National agencies began... In November 2015,El Salvador reported their first case of Zika virus(ZIKV)infection,an event followed by an explosive outbreak that generated over 6000 suspected cases in a period of two months.National agencies began implementing control measures that included vector control and recommending an increased use of repellents.Further,in response to the alarming and growing number of microcephaly cases in Brazil,the importance of avoiding pregnancies for two years was stressed.In this paper,we explore the role of mobility within communities characterized by extreme poverty,crime and violence.Specifically,the role of short term mobility between two idealized interconnected highly distinct communities is explored in the context of ZIKV outbreaks.We make use of a Lagrangian modeling approach within a two-patch setting in order to highlight the possible effects that short-term mobility,within highly distinct environments,may have on the dynamics of ZIKV outbreak when the overall goal is to reduce the number of cases not just in the most affluent areas but everywhere.Outcomes depend on existing mobility patterns,levels of disease risk,and the ability of federal or state public health services to invest in resource limited areas,particularly in those where violence is systemic.The results of simulations in highly polarized and simplified scenarios are used to assess the role of mobility.It quickly became evident that matching observed patterns of ZIKV outbreaks could not be captured without incorporating increasing levels of heterogeneity.The number of distinct patches and variations on patch connectivity structure required to match ZIKV patterns could not be met within the highly aggregated model that is used in the simulations. 展开更多
关键词 Vector-borne diseases Zika virus Residence times multi-patch model
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A SING ULAR PARAM ETERIZED FINITE VOLUME METHOD FOR THE ADVECTION-DIFFUSION EQUATION IN IRREGULAR GEOMETRIES
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作者 Chang Yang Meng Wu 《Journal of Computational Mathematics》 SCIE CSCD 2019年第5期579-608,共30页
Solving the advection-diffusion equation in irregular geometries is of great importance for realistic simulations. To this end, we adopt multi-patch parameterizations to describe irregular geometries. Different from t... Solving the advection-diffusion equation in irregular geometries is of great importance for realistic simulations. To this end, we adopt multi-patch parameterizations to describe irregular geometries. Different from the classical multi-patch parameterization method, C 1- continuity is introduced in order to avoid designing interface conditions between adjacent patches. However, singularities of parameterizations can’t always be avoided. Thus, in this paper, a finite volume method is proposed based on smooth multi-patch singular parameterizations. It is called a singular parameterized finite volume method. Firstly, we present a numerical scheme for pure advection equation and pure diffusion equation respectively. Secondly, numerical stability results in L2 norm show that the numerical method is not suffered from the singularities. Thirdly, the numerical method has second order accurate in L2 norm. Finally, three numerical tests in different irregular geometries are presented to show efficiency of this numerical method. 展开更多
关键词 Finite volume method Smooth multi-patch SINGULAR PARAMETERIZATIONS The ADVECTION-DIFFUSION equation IRREGULAR GEOMETRIES
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采用对比学习的多阶段Transformer图像去雾方法 被引量:1
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作者 高峰 汲胜昌 +3 位作者 郭洁 侯杰 欧阳超 杨彪 《西安交通大学学报》 EI CAS CSCD 北大核心 2023年第1期195-210,共16页
为了解决现有图像去雾方法在图像局部去雾以及纹理细节恢复等方面始终不理想以及处理非均匀雾质始终不彻底的问题,提出了一种采用对比学习的多阶段自注意力模块(Transformer)的图像去雾MSTCNet方法。首先,利用信道级Transformer模块作... 为了解决现有图像去雾方法在图像局部去雾以及纹理细节恢复等方面始终不理想以及处理非均匀雾质始终不彻底的问题,提出了一种采用对比学习的多阶段自注意力模块(Transformer)的图像去雾MSTCNet方法。首先,利用信道级Transformer模块作为基本的特征提取模块,充分地捕获特征信道之间的长距离依赖关系;其次,通过提出的多监督对比学习方法最大限度地挖掘正负样本信息,使去雾图像在投影后的隐空间中更靠近清晰图像,同时远离有雾图像;最后,利用多阶段渐进式网络结构和可变形自注意力机制有效地整合图像局部细粒度特征和全局粗粒度信息。本文在2个合成数据集和3个真实数据集上对所提出的方法进行了大量的实验,结果表明:所提出的MSTCNet方法在5个数据集上的峰值信噪比(PSNR)分别提高了1.49、1.45、0.11、1.45和0.22 dB,在通用数据集与非数据集的测试中均超越已有的方法,在浓雾质、非均匀雾质以及均匀雾质的测试中均表现出最佳的去雾视觉效果,并达到最高的客观评价指标值。 展开更多
关键词 图像去雾 对比学习 自注意力 渐进式网络
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等几何分析中的复杂物理区域投影算子及误差分析 被引量:3
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作者 胡丹丹 王旭辉 吴梦 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2019年第5期707-717,共11页
针对等几何分析中复杂物理区域上的偏微分方程求解问题,提出了多片参数域上双三次样条投影映射的方法.首先基于多片参数化,构造了复杂物理域上的一个投影映射;其次对于物理域上的光滑函数,讨论了该投影映射的逼近误差,理论分析表明该投... 针对等几何分析中复杂物理区域上的偏微分方程求解问题,提出了多片参数域上双三次样条投影映射的方法.首先基于多片参数化,构造了复杂物理域上的一个投影映射;其次对于物理域上的光滑函数,讨论了该投影映射的逼近误差,理论分析表明该投影映射可达到最优逼近阶;最后基于投影映射的思想,给出了一类适用于基于等几何分析在复杂物理区域上二阶椭圆方程求解的样条空间.数值算例的结果表明,该方法求解的逼近误差阶可达到最优. 展开更多
关键词 等几何分析 复杂物理区域 多片参数化 误差分析 二阶椭圆方程
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一种利用点搜索的多曲面体清根轨迹生成方法 被引量:2
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作者 李山 罗明 +1 位作者 吴宝海 张定华 《西北工业大学学报》 EI CAS CSCD 北大核心 2009年第3期351-356,共6页
针对复杂多曲面体清根加工刀位轨迹的生成问题,提出了一种基于点搜索的清根轨迹生成方法。在采用单刀清根时,球头刀刀心点到多曲面体所在的自由曲面以及多曲面体表面的距离相等,只要搜索到刀心轨迹上的所有点,即可生成单刀清根轨迹。据... 针对复杂多曲面体清根加工刀位轨迹的生成问题,提出了一种基于点搜索的清根轨迹生成方法。在采用单刀清根时,球头刀刀心点到多曲面体所在的自由曲面以及多曲面体表面的距离相等,只要搜索到刀心轨迹上的所有点,即可生成单刀清根轨迹。据此,文章将多曲面体作为研究对象,通过将多曲面体以及搜索的基本初始点映射在曲面的参数域内,确定参数域内的所有搜索初始点及相应的搜索方向,沿搜索方向在参数域内搜索清根加工的切触点,并在物理空间判断相应的刀心点是否满足距离条件,满足的点即为搜索的目标点,所有目标点形成清根加工的刀心轨迹线,根据该曲线即可生成单刀清根的到位数据。在此基础上,通过生成不同尺寸刀具的单刀清根轨迹线,计算多刀加工的切触点,生成了多刀清根加工的到位数据。最后,结合航空发动机叶片阻尼台的加工,生成了其单刀清根轨迹和多刀清根轨迹并进行了切削加工实验。算例与实验结果表明文中方法加工结果符合加工精度要求,加工表面质量较好,说明了点搜索方法在多曲面体清根轨迹生成中的有效性和实用性。 展开更多
关键词 清根加工 多曲面体 刀位轨迹生成 单刀清根加工 多刀清根加工
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多曲面岛屿五轴螺旋刀位轨迹规划 被引量:1
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作者 张莹 吴宝海 +2 位作者 李山 张定华 陈志强 《航空学报》 EI CAS CSCD 北大核心 2009年第1期153-158,共6页
针对复杂拓扑关系的多曲面岛屿加工,以叶片阻尼台为研究对象,提出基于清根刀心轨迹的五轴球头刀螺旋刀位轨迹生成算法。首先建立局部坐标系,定义并确定中轴线,然后按层逐点创建投影射线,利用实体求交构造初始刀心螺旋轨迹;通过变步长迭... 针对复杂拓扑关系的多曲面岛屿加工,以叶片阻尼台为研究对象,提出基于清根刀心轨迹的五轴球头刀螺旋刀位轨迹生成算法。首先建立局部坐标系,定义并确定中轴线,然后按层逐点创建投影射线,利用实体求交构造初始刀心螺旋轨迹;通过变步长迭代算法修正,使得刀心点距实体最短距离在加工精度范围内等于刀具半径。最后根据实体结构控制刀轴矢量,规划出无干涉的螺旋刀位轨迹。算例表明,本文算法统一了阻尼台加工与清根加工,避免了复杂偏置曲面片的构造,保证在加工过程中没有冗余进退刀的同时刀具不会过切叶身曲面,实现了阻尼台多曲面岛屿五轴球头刀高效精密加工。 展开更多
关键词 多曲面岛屿 铣刀 刀位轨迹 阻尼台 中轴线
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结合改进混合卷积模型的遥感影像变化检测 被引量:1
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作者 代云锋 刘丽娜 《遥感信息》 CSCD 北大核心 2022年第6期53-59,共7页
针对基于深度学习的变化检测模型搭建中提高变化检测精度这一难点,在综合考虑面向像元和面向对象变化检测算法的基础上,设计了一种基于改进混合卷积特征提取模块的变化检测模型。该模型结合多切片思想和并行神经网络结构,融合不同尺寸... 针对基于深度学习的变化检测模型搭建中提高变化检测精度这一难点,在综合考虑面向像元和面向对象变化检测算法的基础上,设计了一种基于改进混合卷积特征提取模块的变化检测模型。该模型结合多切片思想和并行神经网络结构,融合不同尺寸的卷积核获取丰富的多尺度特征。首先,利用超像素分割算法将测试影像分割成无重叠的同质性区域;然后,选取一定数量的样本对模型进行训练,得到测试影像的像素级变化检测结果;最后,利用投票法,将网络得到的像素级结果与分割对象相结合,得到最终的变化检测结果。实验结果表明,基于该方法的网络模型性能较好,该模型可以有效学习多时相影像中的空间信息及差异特征,同时结合分割算法能够降低虚检率和漏检率,有效提高了变化检测精度。 展开更多
关键词 改进混合卷积 多特征提取 多切片 深度特征融合 变化检测
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基于字体特征与多尺度PatchGAN的中文字体风格转换研究
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作者 程若然 赵晓丽 周浩军 《云南大学学报(自然科学版)》 CAS CSCD 北大核心 2023年第6期1228-1237,共10页
针对现有中文字体风格转换方法生成字符图像质量低以及生成字体图像与目标字体图像风格不一致的问题,提出基于字体特征与多尺度patch生成对抗网络的中文字体风格转换方法.首先,根据字体特点设计两个特征提取网络,分别提取字体风格特征... 针对现有中文字体风格转换方法生成字符图像质量低以及生成字体图像与目标字体图像风格不一致的问题,提出基于字体特征与多尺度patch生成对抗网络的中文字体风格转换方法.首先,根据字体特点设计两个特征提取网络,分别提取字体风格特征和字符内容特征;然后,将两个特征输入生成器,利用字体风格特征约束生成字符图像的风格,字符内容特征约束生成字符图像的字形;最后,将生成字符图像输入到多尺度patch判别器中,对生成结果的多尺度图像块判断真假.实验结果表明,所提方法有效提升了生成字符图像的质量以及与目标字体的风格一致性. 展开更多
关键词 中文字体风格转换 字体特征提取 多尺度patch生成对抗网络 深度学习
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高超声速流动分区对接网格算法研究 被引量:3
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作者 毛枚良 陈坚强 +1 位作者 邓小刚 向大平 《空气动力学学报》 CSCD 北大核心 2003年第2期173-181,共9页
本文发展了一种能适应强间断流场的满足通量守恒的分区对接网格算法,并给出了保证通量守恒的通量插值系数应满足的条件。采用有限差分NND格式,求解层流NS方程,数值模拟了马赫数6~20绕圆柱的高超声速粘性流场。数值试验表明:方法具有良... 本文发展了一种能适应强间断流场的满足通量守恒的分区对接网格算法,并给出了保证通量守恒的通量插值系数应满足的条件。采用有限差分NND格式,求解层流NS方程,数值模拟了马赫数6~20绕圆柱的高超声速粘性流场。数值试验表明:方法具有良好的稳定性和收敛性,强激波能自由地穿越内边界。 展开更多
关键词 高超声速流动 数值模拟 对接网格算法 飞行器
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基于局部结构的多尺度协作表示人脸识别算法 被引量:2
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作者 刘宇凯 金晓康 +1 位作者 张建明 廖婷婷 《计算机工程与应用》 CSCD 北大核心 2018年第17期151-157,共7页
人脸识别在实际应用中,往往存在无法获取足够多的训练样本的情况,而在小样本情况下,协作表示的识别性能会受到严重影响。多尺度块协作表示算法能有效集成不同尺度下的分类结果,但其分类框架中子块的计算是相互独立的,忽略了块之间的结... 人脸识别在实际应用中,往往存在无法获取足够多的训练样本的情况,而在小样本情况下,协作表示的识别性能会受到严重影响。多尺度块协作表示算法能有效集成不同尺度下的分类结果,但其分类框架中子块的计算是相互独立的,忽略了块之间的结构关系。而局部结构法将图像划分为多个局部区域,每个局部区域的重叠块分布在相同的线性子空间中,该子空间可以反应块之间的结构关系,能提高多尺度块协作表示在小样本下的鲁棒性。因此提出了基于局部结构的多尺度块协同表示算法(Local Structure based Multi-Patch Collaborative Representation,LS_MPCRC),在Yale B和AR人脸库上的实验结果证明,该算法在训练样本数目较少时具有优秀的识别性能。 展开更多
关键词 人脸识别 协作表示 小样本问题 多尺度块协作表示 局部结构
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基于二维模态分解与斑块对比度相结合的红外小目标检测算法
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作者 徐丹旸 魏宏光 +2 位作者 金秋春 钱金旺 郭星辰 《红外与激光工程》 EI CSCD 北大核心 2022年第12期372-378,共7页
红外小目标检测在红外目标搜索跟踪等应用中发挥着重要作用。文中提出一种二维经验模态分解与多尺度斑块对比度算法相结合的红外小目标检测算法。首先,利用二维经验模态分解将红外图像分解成不同尺度的模态分量,再将低频模态分量去掉进... 红外小目标检测在红外目标搜索跟踪等应用中发挥着重要作用。文中提出一种二维经验模态分解与多尺度斑块对比度算法相结合的红外小目标检测算法。首先,利用二维经验模态分解将红外图像分解成不同尺度的模态分量,再将低频模态分量去掉进行图像重构,实现对背景杂波的抑制。然后,将重构图像做为多尺度斑块对比度算法的输入,生成目标结果图。最后,对目标结果图进行自适应阈值分割,检测出真实的红外小目标。实验仿真结果表明,该算法与现有算法相比,在不同背景下能够有效抑制背景对目标的干扰,具有较高的检测率,验证了该算法的有效性和鲁棒性。 展开更多
关键词 红外小目标检测 二维经验模态分解 模态分量 多尺度斑块对比度
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