检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

275 篇 会议
10 册 图书
6 篇 期刊文献

馆藏范围

291 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

256 篇 工学
- 222 篇 计算机科学与技术...
- 99 篇 软件工程
- 54 篇 光学工程
- 31 篇 信息与通信工程
- 17 篇 电气工程
- 17 篇 生物工程
- 16 篇 生物医学工程（可授...
- 11 篇 电子科学与技术（可...
- 8 篇 仪器科学与技术
- 6 篇 控制科学与工程
- 6 篇 化学工程与技术
- 5 篇 力学（可授工学、理...
- 5 篇 机械工程
- 5 篇 建筑学
- 5 篇 土木工程
- 3 篇 材料科学与工程（可...
- 3 篇 安全科学与工程
- 2 篇 动力工程及工程热...
- 2 篇 测绘科学与技术
156 篇 理学
- 123 篇 数学
- 53 篇 物理学
- 17 篇 生物学
- 10 篇 统计学（可授理学、...
- 9 篇 化学
- 4 篇 地球物理学
- 4 篇 系统科学
60 篇 医学
- 59 篇 临床医学
- 3 篇 基础医学(可授医学...
7 篇 管理学
- 5 篇 图书情报与档案管...
2 篇 法学
- 2 篇 社会学

主题

19 篇 variational meth...
12 篇 inverse problems
9 篇 diffusion
9 篇 computer vision
9 篇 numerical method...
8 篇 image segmentati...
8 篇 image registrati...
8 篇 image processing...
7 篇 variational tech...
7 篇 total variation
7 篇 iterative method...
7 篇 pattern recognit...
6 篇 image enhancemen...
6 篇 image processing
6 篇 image reconstruc...
5 篇 computer graphic...
5 篇 machine learning
5 篇 regularization
5 篇 mathematical mor...
5 篇 these keywords w...

机构

6 篇 mathematical ima...
4 篇 department of ma...
4 篇 univ saarland fa...
4 篇 eindhoven univ t...
4 篇 department of ma...
3 篇 institute of mat...
3 篇 univ copenhagen ...
3 篇 department of bi...
3 篇 mathematical ima...
2 篇 ophthalmology de...
2 篇 normandie univ u...
2 篇 image and patter...
2 篇 cmla cnrs ens ca...
2 篇 mathematical ima...
2 篇 georgia inst tec...
2 篇 department of ma...
2 篇 department of co...
2 篇 tel aviv univ de...
2 篇 univ bonn inst n...
2 篇 univ minnesota d...

作者

27 篇 weickert joachim
14 篇 duits remco
8 篇 nikolova mila
8 篇 peter pascal
7 篇 tai xue-cheng
7 篇 bruhn andres
7 篇 lindeberg tony
7 篇 rumpf martin
6 篇 schnörr christop...
6 篇 durou jean-denis
5 篇 calatroni luca
5 篇 pock thomas
5 篇 lellmann jan
5 篇 lauze francois
5 篇 burger martin
5 篇 kimmel ron
5 篇 sochen nir
5 篇 effland alexande...
5 篇 imiya atsushi
5 篇 dong yiqiu

语言

289 篇 英文
2 篇 其他

检索条件"任意字段=3rd International Conference on Scale Space and Variational Methods in Computer Vision"

共 291 条记录，以下是181-190 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Kernel Bundle EPDiff: Evolution Equations for Multi-scale Diffeomorphic Image Registration

Kernel Bundle EPDiff: Evolution Equations for Multi-scale Di...

引用

3rd international conference on scale space and variational methods in computer vision

作者： Sommer, Stefan Lauze, Francois Nielsen, Mads Pennec, Xavier Univ Copenhagen Dept Comp Sci DK-1168 Copenhagen Denmark Synarc Imaging Technol Rodovre Denmark INRIA Sophia Antipolis Sophia Antipolis France

ISBN: (纸本)9783642247842

In the LDDMM framework, optimal warps for image registration are found as end-points of critical paths for an energy functional, and the EPDiff equations describe the evolution along such paths. The Large Deformation Diffeomorphic Kernel Bundle Mapping (LDDKBM) extension of LDDMM allows scale space information to be automatically incorporated in registrations and promises to improve the standard framework in several aspects. We present the mathematical foundations of LDDKBM and derive the KB-EPDiff evolution equations, which provide optimal warps in this new framework. To illustrate the resulting diffeomorphism paths, we give examples showing the decoupled evolution across scales and how the method automatically incorporates deformation at appropriate scales.

关键词： LDDKBM LDDMM diffeomorphic registration scale space computational anatomy kernels momentum

来源：评论

学校读者我要写书评

暂无评论

Supervised scale-Invariant Segmentation (and Detection)

Supervised Scale-Invariant Segmentation (and Detection)

引用

3rd international conference on scale space and variational methods in computer vision

作者： Li, Yan Tax, David M. J. Loog, Marco Delft Univ Technol Pattern Recognit Lab NL-2600 AA Delft Netherlands

ISBN: (纸本)9783642247842

The scale-invariant detection of image structure has been a topic of study within computer vision and image analysis since long. To date, Lindeberg's scale selection method has probably been the most fruitful and successful approach to this problem. It provides a general technique to cope with the detection of structures over scale that can be successfully expressed in terms of Gaussian differential operators. Any detection or segmentation task would potentially benefit from a similar approach to deal with scale. For many of the real-world image structures of interest, however, it will often be impossible to explicitly design or handcraft an operator that is capable of detecting them in a sensitive and specific way. In this paper, we present an approach to the scale-selection problem in which the construction of the detector is driven by supervised learning techniques. The resulting classification method is designed so as to achieve scale-invariance and may be thought of as a supervised version of Lindeberg's classical scheme.

关键词： scale selection scale-invariance image segmentation detection learning and classification

来源：评论

学校读者我要写书评

暂无评论

Theoretical Foundations of Gaussian Convolution by Extended Box Filtering

Theoretical Foundations of Gaussian Convolution by Extended ...

引用

3rd international conference on scale space and variational methods in computer vision

作者： Gwosdek, Pascal Grewenig, Sven Bruhn, Andres Weickert, Joachim Univ Saarland Math Image Anal Grp Dept Math & Comp Sci Campus E1-1 D-66041 Saarbrucken Germany Saarland Univ Vision Image Process Grp Cluster Excellence Multimodal Compt Interact Saarbrucken Germany

ISBN: (纸本)9783642247842

Gaussian convolution is of fundamental importance in linear scale-space theory and in numerous applications. We introduce iterated extended box filtering as an efficient and highly accurate way to compute Gaussian convolution. Extended box filtering approximates a continuous box filter of arbitrary non-integer standard deviation. It provides a much better approximation to Gaussian convolution than conventional iterated box filtering. Moreover, it retains the efficiency benefits of iterated box filtering where the runtime is a linear function of the image size and does not depend on the standard deviation of the Gaussian. In a detailed mathematical analysis, we establish the fundamental properties of our approach and deduce its error bounds. An experimental evaluation shows the advantages of our method over classical implementations of Gaussian convolution in the spatial and the Fourier domain.

关键词： Gaussian scale-space box filter image processing computer vision

来源：评论

学校读者我要写书评

暂无评论

Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching

Discrete Minimum Distortion Correspondence Problems for Non-...

引用

3rd international conference on scale space and variational methods in computer vision

作者： Wang, Chaohui Bronstein, Michael M. Bronstein, Alexander M. Paragios, Nikos Ecole Cent Paris Lab MAS Chatenay Malabry France INRIA Saclay Equipe GALEN Orsay France Univ Della Svizzera Italiana Inst Comp Sci Fac Informat Lugano Switzerland Tel Aviv Univ Dept Elect Engn Tel Aviv Israel

ISBN: (纸本)9783642247842

Similarity and correspondence are two fundamental archetype problems in shape analysis, encountered in numerous application in computer vision and pattern recognition. Many methods for shape similarity and correspondence boil down to the minimum-distortion correspondence problem, in which two shapes are endowed with certain structure, and one attempts to find the matching with smallest structure distortion between them. Defining structures invariant to some class of shape transformations results in an invariant minimum-distortion correspondence or similarity. In this paper, we model shapes using local and global structures, formulate the invariant correspondence problem as binary graph labeling, and show how different choice of structure results in invariance under various classes of deformations.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

Numerical Schemes for Linear and Non-linear Enhancement of DW-MRI

Numerical Schemes for Linear and Non-linear Enhancement of D...

引用

3rd international conference on scale space and variational methods in computer vision

作者： Creusen, Eric J. Duits, Remco Dela Haije, Tom C. J. Eindhoven Univ Technol Dept Math & Comp Sci NL-5600 MB Eindhoven Netherlands Eindhoven Univ Technol Dept Biomed Engn NL-5600 MB Eindhoven Netherlands

ISBN: (纸本)9783642247842

We consider left-invariant diffusion processes on DTI data by embedding the data into the space R-3 x S-2 of 3D positions and orientations. We then define and solve the diffusion equation in a moving frame of reference defined using left-invariant derivatives. The diffusion process is made adaptive to the data in order to do Perona-Malik-like edge preserving smoothing, which is necessary to handle fiber structures near regions of large isotropic diffusion such as the ventricles of the brain. The corresponding partial differential systems are solved using finite difference stencils. We include experiments both on synthetic data and on DTI-images of the brain.

关键词： DTI DW-MRI scale spaces Lie groups adaptive diffusion Perona-Malik diffusion

来源：评论

学校读者我要写书评

暂无评论

Efficient Beltrami Flow in Patch-space

Efficient Beltrami Flow in Patch-Space

引用

3rd international conference on scale space and variational methods in computer vision

作者： Wetzler, Aaron Kimmel, Ron Technion Israel Inst Technol Dept Comp Sci IL-32000 Haifa Israel

ISBN: (纸本)9783642247842

The Beltrami framework treats images as two dimensional manifolds embedded in a joint features-space domain. This way, a color image is considered to be a two dimensional surface embedded in a hybrid special-spectral five dimensional {x, y, R, G, B} space. Image selective smoothing, often referred to as a denoising filter, amounts to the process of area minimization of the image surface by mean curvature flow. One interesting variant of the Beltrami framework is treating local neighboring pixels as the feature-space. A distance is defined by the amount of deformation a local patch undergoes while traversing its support in the spatial domain. The question we try to tackle in this note is how to perform patch based denoising accurately, and efficiently. As a motivation we demonstrate the performance of the Beltrami filter in patch-space, and provide useful implementation considerations that allow for parameter tuning and efficient implementation on hand-held devices like smart phones.

关键词： Beltrami flow patch-space denoising

来源：评论

学校读者我要写书评

暂无评论

Wasserstein Barycenter and Its Application to Texture Mixing

Wasserstein Barycenter and Its Application to Texture Mixing

引用

3rd international conference on scale space and variational methods in computer vision

作者： Rabin, Julien Peyre, Gabriel Delon, Julie Bernot, Marc ENS Cachan CMLA Cachan France Ceremade Univ Paris France LTCI Paris France Thales Alenia Space Paris France

ISBN: (纸本)9783642247842

This paper proposes a new definition of the averaging of discrete probability distributions as a barycenter over the Monge-Kantorovich optimal transport space. To overcome the time complexity involved by the numerical solving of such problem, the original Wasserstein metric is replaced by a sliced approximation over 1D distributions. This enables us to introduce a new fast gradient descent algorithm to compute Wasserstein barycenters of point clouds. This new notion of barycenter of probabilities is likely to find applications in computer vision where one wants to average features defined as distributions. We show an application to texture synthesis and mixing, where a texture is characterized by the distribution of the response to a multi-scale oriented filter bank. This leads to a simple way to navigate over a convex domain of color textures.

关键词： Optimal transport texture synthesis and mixing barycenter of distributions

来源：评论

学校读者我要写书评

暂无评论

Either Fit to Data Entries or Locally to Prior: The Minimizers of Objectives with Nonsmooth Nonconvex Data Fidelity and Regularization

Either Fit to Data Entries or Locally to Prior: The Minimize...

引用

3rd international conference on scale space and variational methods in computer vision

作者： Nikolova, Mila CMLA CNRS ENS Cachan UniverSud F-94235 Cachan France

ISBN: (纸本)9783642247842

We investigate coercive objective functions composed of a data-fidelity term and a regularization term. Both of these terms are non differentiable and non convex, at least one of them being strictly non convex. The regularization term is defined on a class of linear operators including finite differences. Their minimizers exhibit amazing properties. Each minimizer is the exact solution of an (overdetermined) linear system composed partly of linear operators from the data term, partly of linear operators involved in the regularization term. This is a strong property that is useful when we know that some of the data entries are faithful and the linear operators in the regularization term provide a correct modeling of the sought-after image or signal. It can be used to tune numerical schemes as well. Beacon applications include super resolution, restoration using frame representations, inpainting, morphologic component analysis, and so on. Various examples illustrate the theory and show the interest of this new class of objectives.

关键词： Image processing Inverse problems Non-smooth analysis Non-convex analysis Regularization Signal processing variational methods

来源：评论

学校读者我要写书评

暂无评论

A variational Approach for Exact Histogram Specification

A Variational Approach for Exact Histogram Specification

引用

3rd international conference on scale space and variational methods in computer vision

作者： Chan, Raymond Nikolova, Mila Wen, You-Wei Chinese Univ Hong Kong Dept Math Shatin Hong Kong Peoples R China ENS Cachan Ctr Math Leurs Appl Cachan 94235 France Kunming Univ Sci & Technol Dept Math Yunnan Peoples R China

ISBN: (纸本)9783642247842

We focus on exact histogram specification when the input image is quantified. The goal is to transform this input image into an output image whose histogram is exactly the same as a prescribed one. In order to match the prescribed histogram, pixels with the same intensity level in the input image will have to be assigned to different intensity levels in the output image. An approach to classify pixels with the same intensity value is to construct a strict ordering on all pixel values by using auxiliary attributes. Local average intensities and wavelet coefficients have been used by the past as the second attribute. However, these methods cannot enable strict-ordering without degrading the image. in this paper, we propose a variational approach to establish an image preserving strict-ordering of the pixel values. We show that strict-ordering is achieved with probability one. Our method is image preserving in the sense that it reduces the quantization noise in the input quantified image. Numerical results show that our method gives better quality images than the preexisting methods.

关键词： Exact histogram specification strict-ordering variational methods restoration from quantization noise smooth nonlinear optimization convex minimization

来源：评论

学校读者我要写书评

暂无评论

Entropy-scale Profiles for Texture Segmentation

Entropy-Scale Profiles for Texture Segmentation

引用

3rd international conference on scale space and variational methods in computer vision

作者： Hong, Byung-Woo Ni, Kangyu Soatto, Stefano Chung Ang Univ Sch Comp Sci & Engn Seoul 156756 South Korea Arizona State Univ Sch Math Stat Sci Los Angeles CA USA Univ Calif Los Angeles Comp Sci Dept Los Angeles CA USA

ISBN: (纸本)9783642247842

We propose a variational approach to unsupervised texture segmentation that depends on very few parameters and is robust to imaging conditions. First, the uneven illumination in the observed image is removed by the proposed image decomposition model that approximates the illumination and well retains the textures and features in the image. Then, from the obtained intrinsic image, we introduce a new data, multiscale local entropy, which is the entropy of each location's neighborhood histogram with various scales. The proposed segmentation model uses multiscale local entropy as data. Together with a length penalizing term, minimizing the energy functional locates the contours so that the local entropy within each region is similar to one another. Since entropy is the only feature, there are very few parameters. Moreover, the segmentation model can be solved by a fast global minimization method. Experimental results on natural images show the proposed method is able to robustly segment various texture patterns with uneven illumination in the original images.

关键词： Entropy

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共30页 << < 15 16 17 18 19 20 21 22 23 24 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：