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

1,145 篇 会议
570 篇 期刊文献
9 册 图书

馆藏范围

1,724 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

850 篇 工学
- 435 篇 计算机科学与技术...
- 370 篇 软件工程
- 307 篇 控制科学与工程
- 159 篇 光学工程
- 137 篇 机械工程
- 127 篇 电气工程
- 115 篇 生物医学工程（可授...
- 114 篇 生物工程
- 95 篇 信息与通信工程
- 81 篇 电子科学与技术（可...
- 72 篇 仪器科学与技术
- 41 篇 化学工程与技术
- 34 篇 力学（可授工学、理...
- 34 篇 交通运输工程
- 31 篇 安全科学与工程
- 28 篇 土木工程
- 23 篇 材料科学与工程（可...
- 22 篇 建筑学
486 篇 理学
- 213 篇 物理学
- 201 篇 数学
- 125 篇 生物学
- 65 篇 统计学（可授理学、...
- 60 篇 系统科学
- 39 篇 化学
133 篇 管理学
- 90 篇 管理科学与工程(可...
- 45 篇 图书情报与档案管...
- 27 篇 工商管理
100 篇 医学
- 86 篇 临床医学
- 64 篇 基础医学(可授医学...
- 46 篇 药学(可授医学、理...
18 篇 法学
16 篇 农学
7 篇 教育学
6 篇 艺术学
5 篇 经济学
2 篇 文学
2 篇 军事学

主题

173 篇 computer vision
165 篇 laboratories
92 篇 cameras
89 篇 intelligent robo...
83 篇 robot sensing sy...
81 篇 control systems
78 篇 robot vision sys...
66 篇 robots
65 篇 mobile robots
63 篇 image segmentati...
60 篇 neural networks
60 篇 shape
59 篇 humans
56 篇 robustness
53 篇 layout
50 篇 robot kinematics
48 篇 robot control
48 篇 robotics and aut...
47 篇 feature extracti...
44 篇 machine vision

机构

36 篇 state key labora...
24 篇 zhejiang enginee...
22 篇 department of el...
20 篇 computer vision ...
14 篇 research center ...
12 篇 computer vision ...
12 篇 computational in...
12 篇 department of el...
12 篇 shenzhen key lab...
11 篇 department of el...
11 篇 computer vision ...
11 篇 computer vision ...
11 篇 robotics and int...
11 篇 university of ch...
11 篇 state key labora...
11 篇 department of el...
9 篇 control/robotics...
9 篇 laboratory of ro...
9 篇 department of ly...
9 篇 the department o...

作者

27 篇 p. krishnamurthy
27 篇 ning xi
26 篇 m.m. trivedi
24 篇 f. khorrami
21 篇 xi ning
19 篇 felsberg michael
19 篇 lianqing liu
17 篇 yuechao wang
17 篇 liu lianqing
17 篇 wang yuechao
17 篇 t.c. hsia
16 篇 d.m. dawson
15 篇 shuzhi sam ge
15 篇 h. knutsson
15 篇 a.c. bovik
14 篇 m. meng
13 篇 w.e. dixon
13 篇 s. mitra
13 篇 zaili dong
13 篇 luo ren c.

语言

1,636 篇 英文
73 篇 其他
15 篇 中文

检索条件"机构=Computer Vision and Robotics Laboratory Department of Electrical Engineering"

共 1724 条记录，以下是1461-1470 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：

Simulation and visualization of integrated sensory-motor systems

Simulation and visualization of integrated sensory-motor sys...

引用

IEEE Workshop on Visualization and Machine vision

作者： S.B. Marapane M.M. Trivedi Computer Vision and Robotics Research Laboratory Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA

A binocular robot head, BETH, with ten degrees of freedom (DOF) has been developed for research in active vision. To complement BETH, a graphical simulation and visualization environment has also been developed. The objective of building the graphical system is to create a comprehensive design tool to design and study the dynamic behavior of sensory-motor systems and their interactions with the environment. This environment integrates perception and motor actions and features complete kinematic simulation of BETH, it's sensors and it's workspace. We demonstrate the utility of this environment in systematic and extensive experimental development of computational frameworks and algorithms for 3D active vision systems which utilizes multiple passive depth cues (stereo, vergence, and depth from focusing).< >

关键词： Visualization Head Robot sensing systems Robot vision systems computer vision Computational modeling Buildings Focusing Image analysis Machine vision

来源：评论

学校读者我要写书评

暂无评论

Acquisition of 3D structure of selectable quality from image streams

Acquisition of 3D structure of selectable quality from image...

引用

IEEE Workshop on Applications of computer vision (WACV)

作者： A.K. Dalmia M. Trivedi Computer Vision and Robotics Research Laboratory Electrical and Computer Engineering Department University of Tennessee Knoxville TN USA

In this paper we present a computational approach for extracting three-dimensional structure of controllable resolution, depth of field, and accuracy, all made available at real-time speeds. This approach utilizes the spatial and the temporal gradients of the streams of images acquired using an actively controlled camera. Depending on the requirements of a particular task, appropriate parameters such as disparity value sought, the inter-frame camera displacement, and number of frames in a stream, are chosen to control the resolution, depth of field, and accuracy. The acquisition and processing of the image stream are done in real-time on a pipeline architecture based processor. Extensive experiments are presented to demonstrate the accuracy, controllability of depth of field and resolution, and ability to perform successfully in a variety of scenes. The system operated with no latency between the image acquisition and processing. The total acquisition and processing time in these experiments is in the range of 0.27 to 1.56 sec. The depth results have an accuracy of 85% to 92%.< >

关键词： Streaming media computer vision Machine vision Cameras Pipelines Spatial resolution Layout Delay Performance analysis Robot vision systems

来源：评论

学校读者我要写书评

暂无评论

Localized Radon transform-based detection of linear features in noisy images

Localized Radon transform-based detection of linear features...

引用

IEEE computer Society Conference on computer vision and Pattern Recognition Workshops (CVPRW)

作者： Copeland Ravichandran Trivedi Computer Vision and Robotics Research Laboratory Electrical and Computer Engineering Department University of Tennessee Knoxville TN USA

This paper presents a Radon transform-based approach to the detection of linear features in images characterized by high noise levels. This approach is based on the localized Radon transform where the intensity integration is performed over short line segments rather than across the entire image. The algorithm, referred to as the feature space line detector (FSLD) algorithm, is tested on synthetic images of linear features with very high noise levels. The results of this testing demonstrate the algorithm's robustness in the presence of noise, as well as its ability to detect and localize linear features that are significantly shorter than the image dimensions or that display some curvature.< >

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Real-time visual tracking using correlation techniques

Real-time visual tracking using correlation techniques

引用

IEEE Workshop on Applications of computer vision (WACV)

作者： M.W. Eklund G. Ravichandran M.M. Trivedi S.B. Marapane Computer Vision and Robotics Research Laboratory Electrical and Computer Engineering Department University of Tennessee Knoxville TN USA

A real-time correspondence based tracking algorithm is detailed. The system uses a pipeline processor, a general purpose processor, a camera and a display. The Minimum Noise and Correlation Energy (MINACE) filter is used in the tracking algorithm as it provides a good combination of speed, accuracy and flexibility for the targeted hardware system. The system designed is fast and tracking is accomplished at a rate of 15 hz. The system is adaptive and does not rely on a previous model of the object; the training image for filter synthesis is acquired from previous image frames and the filter is synthesized online to accommodate 3-D variations of the target being tracked. The system tracks an object consistently as is demonstrated by the low deviation of the results in the evaluation. The correlation filter-based tracking algorithm has proved to be useful in our research in cooperative mobile robots. A visual servoing system has been implemented using this tracking algorithm for convoying of multiple mobile robots.< >

关键词： Target tracking Cameras Robot vision systems Visual servoing computer vision Adaptive filters Mobile robots Laboratories Power engineering and energy Pipelines

来源：评论

学校读者我要写书评

暂无评论

Processing incomplete and uncertain data using subspace methods

Processing incomplete and uncertain data using subspace meth...

引用

International Conference on Pattern Recognition

作者： C.-F. Westin H. Knutsson Department of Electrical Engineering Computer Vision Laboratory Linkoping University Sweden

An approach for processing incomplete or uncertain data based on subspace methods is presented in this paper. The paper addresses the problem of how a subset of a parameter vector describing a signal can be estimated. The term parameter vector refers to the coefficients in the linear combination of basis functions describing a local image neighbourhood. Images are normally described locally using simple basis functions. Low order local momentums such as order 0 (the local DC component), 1 and 2 are commonly used. Low order differentiations are also useful descriptors. In densely regularly sampled images, these descriptors are easily computed using standard convolution. However, when working with irregularly sampled data or incomplete data the signal model has to be of higher order than the signal variations of interest. This is the case where only a part of the parameter vector is to be estimated. If possible, only this part of the parameter should be calculated explicitly as opposed to calculating the whole parameter vector. This paper describes such a method based on partitioning the model subspace into two parts.

关键词： Convolution Vectors Filtering Interpolation Image texture analysis computer vision Laboratories Data preprocessing Tensile stress Image edge detection

来源：评论

学校读者我要写书评

暂无评论

Estimation of motion vector fields using tensor field filtering

Estimation of motion vector fields using tensor field filter...

引用

IEEE International Conference on Image Processing

作者： C.-F. Westin H. Knutsson Department of Electrical Engineering Computer Vision Laboratory Linköping University Sweden

This paper presents a method for computation of two-dimensional motion vector fields from an image sequence. The magnitudes from a set of spatio-temporal quadrature filters are combined into a tensor description. The shape of the tensors describe locally the structure of the spatio-temporal neighbourhood and provides information about local velocity and if true flow or only normal flow is present. It is shown how normal flow estimates are combined into a true flow using linear filtering on this tensor field description.< >

关键词： Motion estimation Tensile stress Image motion analysis Equations Nonlinear filters Optical filters Filtering computer vision Optical computing Laboratories

来源：评论

学校读者我要写书评

暂无评论

Representation and learning of invariance

Representation and learning of invariance

引用

IEEE International Conference on Image Processing

作者： K. Nordberg G. Granlund H. Knutsson Computer Vision Laboratory Department of Electrical Engineering Linköping University Linkoping Sweden

Invariance is a very important property of features that are useful for vision. A great deal of research on this subject is going on at different labs. While invariance mechanisms can be prescribed for certain descriptors, it is our firm belief that this is not feasible for descriptors of higher level properties in general. As a consequence, these invariance mechanisms have to be learned by the vision system. In this paper, such a learning structure is proposed. A major contribution in this paper, as well as a crucial component for a successful operation, is the use of a coordinate-free information representation: the channel representation. Furthermore, each processing unit is a linear perceptron which operates on outer products of input data, implying a complex space of invariance. Two examples of how the representation can be employed are included. The examples shows an excellent separation of invariance modes, good accuracy, as well as a fast convergence.< >

关键词： computer vision Laboratories Mechanical factors Machine vision Convergence Computational complexity Stereo vision Optical sensors Image motion analysis Object recognition

来源：评论

学校读者我要写书评

暂无评论

Multiresolution feature extraction based on multifrequency decomposition

Multiresolution feature extraction based on multifrequency d...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Changhoon Yim W.N. Klarquist A.C. Bovik Laboratory for Vision Systems Department of Electrical and Computer Engineering University of Texas Austin USA

Edges and regions are important features for various computer vision and pattern recognition applications. We propose simple schemes for generating edge and region features based on multifrequency decomposition. These methods involve two steps. First, a multiresolution image structure is obtained by multifrequency decomposition. Second, multiresolution features are generated from this multiresolution image structure by some simple operations. Since these features have a hierarchical structure, we can use the coarse-to-fine strategy to improve the reliability and computational efficiency for matching and for other applications.< >

关键词： Feature extraction Frequency Image resolution computer vision Pattern recognition Filter bank Application software Mirrors Pattern matching Design methodology

来源：评论

学校读者我要写书评

暂无评论

Local multiscale frequency and bandwidth estimation

Local multiscale frequency and bandwidth estimation

引用

IEEE International Conference on Image Processing

作者： H. Knutsson C.-F. Westin G. Granlund Department of Electrical Engineering Computer Vision Laboratory Linköping University Linkoping Sweden

This paper describes a robust algorithm for estimation of local signal frequency and bandwidth. The method is based on combining local estimates of instantaneous frequency over a large number of scales. The filters used are a set of lognormal quadrature wavelets. A novel feature is that an estimate of local frequency bandwidth can be obtained. The bandwidth can be used to produce a measure of certainty for the estimated frequency. The algorithm is applicable to multidimensional data and examples of the performance of the method are demonstrated for one-dimensional and two-dimensional signals.< >

关键词： Frequency estimation Bandwidth Signal analysis Fourier transforms Gabor filters computer vision Laboratories Robustness Frequency measurement Multidimensional systems

来源：评论

学校读者我要写书评

暂无评论

On the equivalence of normalized convolution and normalized differential convolution

On the equivalence of normalized convolution and normalized ...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： C.-F. Westin K. Nordberg H. Knutsson Department of Electrical Engineering Computer Vision Laboratory Linköping University Linkoping Sweden

This paper establishes an algebraic relation between two methods recently reported; normalized convolution and normalized differential convolution. These are general methods for filtering incomplete or uncertain data and are based on the separation of both data and operator into a signal part and a certainty part. General filtering can be performed without preprocessing input data with an interpolation step. The methods allow both data and operators to be scalars, vectors or tensors of higher order. Normalized differential convolution has been used in a wide range of applications. Examples are estimation of gradient estimation in irregularly sampled data, estimation of differential invariants in sparse image flow fields and image edge effect reduction. It was previously shown that normalized convolution produces a description of the neighbourhood which is optimal in a least square sense. The algebraic relation to normalized differential convolution presented in this paper proves that the latter method is also optimal in the same sense as well.< >

关键词： Convolution Tensile stress Filtering Interpolation Sampling methods computer vision Laboratories Data preprocessing Least squares methods Image edge detection

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173页 << < 143 144 145 146 147 148 149 150 151 152 > >>

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：