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

67 篇 会议
18 篇 期刊文献

馆藏范围

85 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

35 篇 工学
- 16 篇 计算机科学与技术...
- 14 篇 软件工程
- 11 篇 光学工程
- 7 篇 机械工程
- 7 篇 信息与通信工程
- 6 篇 电子科学与技术（可...
- 6 篇 生物医学工程（可授...
- 5 篇 仪器科学与技术
- 5 篇 控制科学与工程
- 5 篇 生物工程
- 3 篇 电气工程
- 1 篇 化学工程与技术
- 1 篇 石油与天然气工程
- 1 篇 交通运输工程
21 篇 理学
- 14 篇 物理学
- 5 篇 生物学
- 3 篇 数学
- 1 篇 化学
- 1 篇 统计学（可授理学、...
4 篇 医学
- 4 篇 临床医学
- 3 篇 基础医学(可授医学...
- 3 篇 药学(可授医学、理...
3 篇 管理学
- 2 篇 管理科学与工程(可...
- 2 篇 图书情报与档案管...
3 篇 艺术学
- 3 篇 设计学（可授艺术学...
1 篇 法学
- 1 篇 社会学

主题

23 篇 computer vision
18 篇 image segmentati...
18 篇 shape
17 篇 image processing
13 篇 laboratories
11 篇 cameras
11 篇 computed tomogra...
9 篇 robustness
8 篇 level set
7 篇 partial differen...
6 篇 three-dimensiona...
6 篇 visualization
6 篇 feature extracti...
5 篇 three dimensiona...
5 篇 shape measuremen...
5 篇 gaussian distrib...
4 篇 probability dens...
4 篇 computational mo...
4 篇 colon
4 篇 brightness

机构

31 篇 computer vision ...
15 篇 university of ch...
13 篇 shenyang institu...
10 篇 institutes for r...
7 篇 key laboratory o...
7 篇 key lab of image...
6 篇 the key lab of i...
5 篇 key laboratory o...
4 篇 kentucky imaging...
4 篇 ihu strasbourg s...
4 篇 faculty of engin...
4 篇 computer vision ...
4 篇 department of me...
4 篇 peking universit...
4 篇 key laboratory o...
4 篇 heidelberg
3 篇 university of sc...
3 篇 university of pe...
3 篇 department of co...
3 篇 vector institute...

作者

23 篇 aly a. farag
11 篇 a.a. farag
7 篇 asem ali
6 篇 aly farag
5 篇 hossam abdelmuni...
5 篇 m.s. hassouna
5 篇 reyes mauricio
5 篇 asem m. ali
5 篇 haibo luo
5 篇 a. farag
4 篇 mostafa abdelrah...
4 篇 bakas spyridon
4 篇 hossam e. abd el...
4 篇 rajagopalan a.n.
4 篇 timofte radu
4 篇 glocker ben
4 篇 kofler florian
4 篇 suin maitreya
4 篇 menze bjoern
4 篇 a.e. abdel-hakim

语言

82 篇 英文
2 篇 其他
1 篇 中文

检索条件"机构=Computer Vision and Image Processing Laboratory CVIP Lab"

共 85 条记录，以下是41-50 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：

Maximum likelihood thresholding algorithm based on four-parameter gamma distributions

Maximum likelihood thresholding algorithm based on four-para...

引用

International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)

作者： Peter De-Ford Geovanni Martinez Image Processing and Computer Vision Research Laboratory (IPCV-LAB) Universidad de Costa Rica San José Costa Rica

In this contribution, we present a segmentation algorithm based on thresholding to subdivide an intensity image in the regions of object and background. The optimal threshold is found by maximizing a likelihood function derived from a novel intensity probability density function model, which consists of the sum of two weighted four-parameter gamma distributions, as a more flexible alternative to currently used models consisting of the sum of two weighted two-parameter Gaussian distributions. According to our experiments with 132 images, the proposed algorithm is in average slightly better than the best found in the scientific literature, performing particularly good in low contrast images. The additional parameters and complexity of its likelihood function resulted in an increase of the processing time by a factor of 3, from 0.003 sec/image to 0.009 sec/image.

关键词： image segmentation Probability density function Approximation algorithms Gaussian distribution Histograms Shape Pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Monocular visual odometry from frame to frame intensity differences for planetary exploration mobile robots

Monocular visual odometry from frame to frame intensity diff...

引用

IEEE Workshop on Robot vision (WORV)

作者： Geovanni Martinez Image Processing and Computer Vision Research Laboratory (IPCV-LAB) Escuela de Ingeniería Eléctrica Universidad de Costa Rica Costa Rica

ISBN: (纸本)9781467356466

Traditionally stereo visual odometry algorithms estimate the robot's motion by maximizing the conditional probability of the 3D correspondences between two sets of 3D feature point positions, which were previously obtained from two consecutive stereo image pairs captured by a stereo video camera. As an alternative, in this paper a monocular visual odometry algorithm is proposed, which estimates the robot's motion by maximizing the conditional probability of the frame to frame intensity differences at observation points between two consecutive images captured by a monocular video camera. Experimental results with synthetic and real image sequences revealed highly accurate and reliable estimates, respectively. Additionally, it seems to be an excellent candidate for mobile robot missions where space, weight and power supply are really very limited.

关键词： Visualization Three-dimensional displays Cameras Mars Robot kinematics Robot vision systems

来源：评论

学校读者我要写书评

暂无评论

A Passive Stereo System for 3D Human Face Reconstruction and Recognition at a Distance

A Passive Stereo System for 3D Human Face Reconstruction and...

引用

IEEE computer Society Conference on computer vision and Pattern Recognition Workshops

作者： Mostafa Abdelrahman Asem Ali Shireen Elhabian Ham Rara Aly A. Farag Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Louisville KY 40292

ISBN: (纸本)9781467316118

In this paper, we propose a front-end framework for 3D human face reconstruction and recognition at a distance. A stereo acquisition system is built and deployed to capture stereo pairs of subjects at different distances. Three main issues are addressed to achieve accurate face reconstruc- tion, which leads to good recognition;Different illumina- tion conditions between the stereo pair due to larger base- line and further distances, where a fast similarity measure based on normalized cross correlation is shown to tackle such problem. Due to the non-convexity nature of a human face, concave regions introduce occluded regions where cu- bic Splines are used to estimate the disparity. Disparity discontinuities are introduced due to the sparse nature of stereo reconstruction, where surface fitting is performed at prominent facial points. We present our database of 99 sub- jects at different ranges where reconstruction and recogni- tion results are presented.

关键词： Passive Stereo System 3D Human Reconstruction Stereo pairs Recognition (Psychology) Cross correlation Face Face Acoustic equipment Reconstructive Surgical Procedures surface fitting acquisition system similar measure Reconstructions DISTANCE

来源：评论

学校读者我要写书评

暂无评论

New Approach for Classification of Autistic vs. Typically Developing Brain Using White Matter Volumes

New Approach for Classification of Autistic vs. Typically De...

引用

Canadian Conference on computer and Robot vision, CRV

作者： Mostafa Abdelrahman Asem Ali Ahmed Farag Manuel F. Casanova Aly Farag Computer Vision & Image Processing Laboratory (CVIP) Univ. of Louisville Louisville KY Department of Psychiatry and Behavioral Sciences Univ. of Louisville Louisville KY

Autism is a complex developmental disability, characterized by deficits in social interaction, communication skills, range of interests, and occasionally the presence of stereotyped behaviors. Several studies show that changes in brain weight and volume over aging follow a unique trajectory in those affected by the condition~\cite{MICCAIMost00}. In this work, we develop a robust technique for evaluating the volume of white matter (WM), and use it as the main classification criteria. We perform MRI-based analysis on the brains of 14 autistic and 28 control subjects, male and female between aged 7 to 38 years. The proposed framework consists of several stages. First, the entire T1-weighted MRI scans are filtered out from noise using anisotropic diffusion filter. Then, the white matter (WM) is segmented from the skull. The segmentation framework is the search for maximum-a-posterior configurations in a Markov Gibbs Random Field (MGRF) model. A 3D mesh is then generated from the segmented WM. Finally, the volume of the 3D mesh is computed using a new algorithm. The experiments show accurate classification results of the proposed framework.

关键词： Autism image segmentation Solid modeling Magnetic resonance imaging Object segmentation labeling Visualization

来源：评论

学校读者我要写书评

暂无评论

Small-size lung nodule modeling and detection with clinical evaluation

Small-size lung nodule modeling and detection with clinical ...

引用

Cairo International Biomedical Engineering Conference, CIBEC

作者： Amal Farag James Graham Hossam Abdelmunim Salwa Elshazly Mohamed Ei-Mogy Sabry Ei-Mogy Robert Falk Aly A. Farag Computer Vision and Image Processing Laboratory (CVIP Lab) University of Louisville Louisville KY Computer & Systems Engineering Department Ain Shams University Cairo Mogy-Scan Center Mansoura Egypt Jewish Hospital and 3DR Louisville Kentucky

In this paper examination of the template modeling process using the Active Appearance Modeling (AAM) approach for automatic detection of lung nodules is investigated. A template matching approach is formulated to compute a similarity score between the AAM templates and the input lung CT slice, where the goal is to maximize the similarity measure at different image pixels to increase nodule detection. The template matching approach is implemented using nine similarity measures. Performance validation for the robustness of the generated models is tested on three clinical databases.

关键词： Lungs Databases Computed tomography Principal component analysis Computational modeling Solid modeling

来源：评论

学校读者我要写书评

暂无评论

An AAM-based detection approach of lung nodules from LDCT scans

An AAM-based detection approach of lung nodules from LDCT sc...

引用

IEEE International Symposium on Biomedical Imaging

作者： Amal Farag Hossam Abdelmunim James Graham Aly A. Farag Cambron Carter Salwa Elshazly Mohamed S. El-Mogy Sabry El-Mogy Robert Falk Computer Vision and Image Processing Laboratory (CVIP Lab) University of Louisville Louisville KY 40292 University of Louisville Louisville KY US Mogy Scan Center Mansoura Egypt Jewish Hospital and 3DR Louisville Kentucky

ISBN: (纸本)9781457718571

In this, paper a new approach for lung nodules detection from LDCT scans is proposed. Intensity models of the nodules are generated using an active appearance model formulation. Template matching is used to compute a similarity score between the AAM template and the input image. The goal is to maximize the similarity measure at different image pixels to increase nodule detection. Conventional template matching does not account for rotation variations. Our proposed template matching approach is formulated as an energy optimization problem that computes a transformation that includes rotation(s) parameters as well as the AAM weighting coefficients. The approach is flexible to different scans and different nodule locations because of the ability to handle the variations in the rotation between the template and the input images. The approach can employ different similarity measures. Experimental results will be shown using three similarity measures from the literature: NCC, ZNCC and ZSSD; which illustrate the efficiency of the proposed approach. ROC curves for various nodule types are constructed on a clinical study with known ground truth, showing significant enhancements over conventional parametric nodule models and traditional template matching criterion.

关键词： Lungs Computational modeling Active appearance model Solid modeling Correlation Computed tomography Shape

来源：评论

学校读者我要写书评

暂无评论

Classification of gothic and baroque architectural elements

Classification of gothic and baroque architectural elements

引用

International Conference on Systems, Signals and image processing, IWSSIP

作者： Gayane Shalunts Yll Haxhimusa Robert Sablatnig Institute of Computer Aided Automation Computer Vision Laboratory University of Technology Vienna Austria Institute of Computer Graphics and Algorithms Pattern Recognition and Image Processing Lab University of Technology Vienna Austria

Architectural elements are the components and details of buildings. Their unique set, combination, design, construction technique form the architectural style of buildings. Building facade classification by architectural styles is viewed as a task of classifying separate architectural structural elements. In the scope of building facade architectural style classification the current paper targets the problem of classification of Gothic and Baroque architectural elements called tracery, pediment and balustrade. Since certain gradient directions dominate on the shape of each architectural element, discrimination between dominating gradients means classification of architectural elements and thus architectural styles. We use local features to describe gradient directions. Our approach is based on clustering and learning of local features and yields a high classification rate.

关键词： Shape Three dimensional displays Visualization computer vision Histograms Windows

来源：评论

学校读者我要写书评

暂无评论

Face recognition at-a-distance using texture, Sparse-Stereo, and Dense-Stereo

Face recognition at-a-distance using texture, Sparse-Stereo,...

引用

International Conference on Multimedia Technology

作者： Mostafa Abdelrahman Shireen Elhabian Asem Ali Aly A. Farag Computer Vision & Image Processing Laboratory (CVIP) University of Louisville Louisville KY USA

ISBN: (纸本)9781612847719

This paper proposes a framework for face recognition at a distance based on texture, Sparse-Stereo, and Dense-stereo reconstruction. We develop a 3D acquisition system that consists of two CCD stereo cameras mounted on pan-tilt units with adjustable baseline. In this paper we introduce our stereo-based indoor/outdoor environment and different ranges human faces database. Also, we propose a front-to-end system of 3D face reconstruction and recognition. We first detect the facial region and extract its landmark points, which are used to initialize the face alignment algorithm. The fitted mesh vertices, generated from the face alignment process, provide point correspondences between the left and right images of a stereo pair; stereo-based reconstruction is then used to infer the 3D information of the mesh vertices. Also the dense 3D is reconstructed for the cropped stereo pair based on graph cut approach. We perform experiments regarding the use of different features extracted from these vertices for face recognition. The cumulative rank curves (CMC), which are generated using the proposed framework, confirm the feasibility of the proposed work for long distance recognition of human faces.

关键词： Face Face recognition Three dimensional displays image color analysis Skin Feature extraction Databases

来源：评论

学校读者我要写书评

暂无评论

Precise change detection in multi-spectral remote sensing imagery using SIFT-based registration

Precise change detection in multi-spectral remote sensing im...

引用

International Conference on Multimedia Technology

作者： Mostafa Abdelrahman Asem Ali Aly A. Farag Computer Vision & Image Processing Laboratory (CVIP) University of Louisville Louisville KY USA

ISBN: (纸本)9781612847719

In this paper we propose a robust method for geometric co registration, and an accurate change detection technique based on statistical method for multi-temporal high-resolution satellite imagery. Lhe proposed algorithm is as the following: scale-invariant feature transform (SIFT) is used to extract a set of correspondence points in a pair, or multiple pairs, of images that are taken at different times and under different circumstances, then Random Sample Consensus (RANSAC) is used to remove the outlier set. the resulting inliers matched points is an accurate correspondences which used to register the given images, changes in registered images are identified using statistical analysis of image differences. Finally, Markov-Gibbs Random Field (MGRF) is used to model the spatial-contextual information contained in the resulting change mask. Experiments with generated synthetic multiband images, and LANDSAT5 images, approved the accuracy the proposed algorithm.

关键词： Remote sensing Satellites Earth Detection algorithms Feature extraction Statistical analysis Accuracy

来源：评论

学校读者我要写书评

暂无评论

A new shape based segmentation framework using statistical and variational methods

A new shape based segmentation framework using statistical a...

引用

IEEE International Conference on image processing

作者： Melih S. Aslan Hossam Abdelmunim Aly A. Farag Ben Arnold Eslam Mostafa Ping Xiang Computer Vision and Image Processing Lab University of Louisville Louisville KY USA Computer Vision and Image Processing Laboratory University of Louisville Louisville KY USA Computer and Systems Engineering Department Ain Shams University Cairo Egypt Image Analysis Inc Columbia KY USA

In this paper, we propose a new shape based segmentation and registration of the vertebral bodies (VBs) in clinical computed tomography (CT) images. The VB and surrounding organs have very close gray level information and there are no strong edges in some CT images. To overcome these challenges, image appearance and shape information of VBs are used. There are three phases of our experiments: i) the detection of the VB region using the Matched filter, ii) initial segmentation using the graph cuts which integrates the intensity and spatial interaction models, iii) registration of the shape priors and initially segmented region to obtain the final segmentation. Preliminary results show that our proposed algorithm gives very encouraging results and can solve many segmentation and registration problems.

关键词： image segmentation Shape Training Computed tomography Bones Accuracy Vectors

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9页 << < 1 2 3 4 5 6 7 8 9 > >>

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：