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国家自然科学基金(61173102)

作品数:15 被引量:73H指数:4
相关作者:刘秀平王小超盛中平张绍光李宝军更多>>
相关机构:大连理工大学东北师范大学湖南大学更多>>
发文基金:国家自然科学基金河北省自然科学基金中央高校基本科研业务费专项资金更多>>
相关领域:自动化与计算机技术理学天文地球交通运输工程更多>>

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15 条 记 录,以下是 1-10
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Least-squares images for edge-preserving smoothing被引量:1
2015年
In this paper, we propose least-squares images(LS-images) as a basis for a novel edgepreserving image smoothing method. The LS-image requires the value of each pixel to be a convex linear combination of its neighbors, i.e., to have zero Laplacian, and to approximate the original image in a least-squares sense. The edge-preserving property inherits from the edge-aware weights for constructing the linear combination. Experimental results demonstrate that the proposed method achieves high quality results compared to previous state-of-theart works. We also show diverse applications of LSimages, such as detail manipulation, edge enhancement,and clip-art JPEG artifact removal.
Hui WangJunjie CaoXiuping LiuJianmin WangTongrang FanJianping Hu
An Effective Surface Modeling Method for Car Styling from a Side-View Image被引量:1
2014年
We introduce an almost-automatic technique for generating 3D car styling surface models based on a single side-view image. Our approach combines the prior knowledge of car styling and deformable curve network model to obtain an automatic modeling process. Firstly, we define the consistent parameterized curve template for 2D and 3D case respectivelyby analyzingthe characteristic lines for car styling. Then, a semi-automatic extraction from a side-view car image is adopted. Thirdly, statistic morphable model of 3D curve network isused to get the initial solution with sparse point constraints.Withonly afew post-processing operations, the optimized curve network models for creating surfaces are obtained. Finally, the styling surfaces are automatically generated using template-based parametric surface modeling method. More than 50 3D curve network models are constructed as the morphable database. We show that this intelligent modeling toolsimplifiesthe exhausted modeling task, and also demonstratemeaningful results of our approach.
LI Bao-junZHANG Xue-fangLV Zhang-quanQI Yi-chao
基于拓扑的高亏格网格方向场设计
为了在方向场设计中,实现控制奇异点个数的同时,减小方向场的扭曲,本文通过分析高亏格网格的拓扑连接关系,提出了一种基于网格自身结构的方向场设计算法。首先,基于网格上同调群的生成元,计算网格的拓扑连接关系。然后,利用该拓扑连...
张杰曹俊杰刘秀平王小超
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多项式系的子结式矩阵被引量:1
2013年
推广了两个多项式的子结式矩阵这一经典结果.在有单位元交换环上,引进了一般多项式系的一类子结式矩阵.并在唯一分解环上,利用多项式系的这类子结式矩阵,给出了多项式系公因子存在性的分次判别准则.
盛中平
关键词:唯一分解环
Interpolation and approximation for data living on manifold surfaces被引量:1
2012年
Meshed surfaces are ubiquitous in digital geometry processing and computer graphics. The set of attributes associated with each vertex such as the vertex locations, curvature, temperature, pressure or saliency, can be recognized as data living on mani- fold surfaces. So interpolation and approximation for these data are of general interest. This paper presents two approaches for mani- fold data interpolation and approximation through the properties of Laplace-Beltrami operator (Laplace operator defined on a mani- fold surface). The first one is to use Laplace operator minimizing the membrane energy of a scalar function defined on a manifold. The second one is to use bi-Laplace operator minimizing the thin plate energy of a scalar function defined on a manifold. These two approaches can process data living on high genus meshed surfaces. The approach based on Laplace operator is more suitable for manifold data approximation and can be applied manifold data smoothing, while the one based on bi-Laplace operator is more suit- able for manifold data interpolation and can be applied image extremal envelope computation. All the application examples demon- strate that our procedures are robust and efficient.
HU JianpingLIU XiupingWANG XiaochaoXIE Qi
Feature detection on point clouds via Gabriel Triangles creation and l1 normal reconstruction被引量:1
2012年
In this paper, we present a robust subneighborhoods selection technique for feature detection on point clouds scattered over a piecewise smooth surface. The proposed method first identifies all potential features using covariance analysis of the local- neighborhoods. To further extract the accurate features from potential features, Gabriel triangles are created in local neighborhoods of each potential feature vertex. These triangles tightly attach to underlying surface and effectively reflect the local geometry struc- ture. Applying a shared nearest neighbor clustering algorithm on ~ 1 reconstructed normals of created triangle set, we classify the lo- cal neighborhoods of the potential feature vertex into multiple subneighborhoods. Each subneighborhood indicates a piecewise smooth surface. The final feature vertex is identified by checking whether it is locating on the intersection of the multiple surfaces. An advantage of this framework is that it is not only robust to noise, but also insensitive to the size of selected neighborhoods. Ex- perimental results on a variety of models are used to illustrate the effectiveness and robustness of our method.
ZHANG ShaoguangWANG XiaochaoCAO JunjieWANG Jun
一种基于网格变形的图像放缩方法被引量:10
2013年
基于内容的图像放缩的关键是如何保持图像中重要的内容,同时最小化整幅图像的视觉变形.文中将图像放缩问题转化成网格变形问题,提出一种改进的基于内容的图像放缩方法.首先在网格上建立保持整体形状的能量函数,结合约束条件,通过求解凸二次规划问题得到变形后的网格坐标,最终实现图像的放缩.实验结果表明,该方法不仅能够保持图像中重要的内容和特征结构,而且较好地保持了图像的整体性,使得图像视觉变形较小.
崔普明刘秀平王小超李淑华
关键词:网格变形
网格曲面特征的稀疏性优化检测算法被引量:4
2013年
针对现有的特征检测算法大多数基于微分几何量,对噪声比较敏感、运行速度比较慢、对于过渡特征处理得不够理想的问题,提出一种基于稀疏性优化的网格特征检测算法.该算法主要包括3个过程:首先利用带l1范数稀疏性约束项和l2范数误差项的Laplacian能量函数对网格进行光顺,得到光顺后网格顶点的移动距离;然后根据顶点的移动距离提取初始特征点;最后对提取的特征点进行后处理,使得特征点更为完整.其中,l1范数稀疏性约束项用来约束发生移动点的数目;l2范数的误差约束项用来控制光顺后模型的退化程度.该算法易于实现,能够处理尖锐特征、弱特征和过渡特征.与基于微分几何量的特征提取方法相比,文中算法不仅简单有效、运行时间短,而且提取的特征线也更好.
王伟明刘秀平杨周旺刘利刚
关键词:网格光顺稀疏性
规范精度维数的伸缩准则与局部准则
2013年
通过对分形维数所具备必要属性的讨论,给出了分形维数的伸缩准则与局部准则,为维数特征的刻画提出了一个普适标准.分析了规范精度维数,并证明了其既满足伸缩准则也满足局部准则.
贾亮魏丽娜盛中平
关键词:分形
曲面上向量值函数的经验模态分解
EMD(经验模态分解)作为处理非平稳信号的一种有效工具,近年来在数字几何处理领域开始受到关注。但是现有的曲面上EMD方法对于向量值函数采用对每个分量单独处理的方式进行分解,忽略了各个分量之间的相关性。为此,本文提出了一种...
胡建平吴晓旭王辉刘秀平谢琪
关键词:向量值函数EMD
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