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

6,506 篇 会议
29 篇 期刊文献
10 册 图书

馆藏范围

6,544 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

3,906 篇 工学
- 3,683 篇 计算机科学与技术...
- 1,504 篇 软件工程
- 802 篇 光学工程
- 359 篇 信息与通信工程
- 256 篇 控制科学与工程
- 204 篇 机械工程
- 176 篇 电气工程
- 95 篇 生物医学工程（可授...
- 79 篇 生物工程
- 77 篇 电子科学与技术（可...
- 61 篇 仪器科学与技术
- 38 篇 建筑学
- 36 篇 力学（可授工学、理...
- 34 篇 土木工程
- 31 篇 航空宇航科学与技...
- 31 篇 安全科学与工程
- 22 篇 材料科学与工程（可...
- 22 篇 交通运输工程
1,537 篇 理学
- 980 篇 物理学
- 960 篇 数学
- 376 篇 统计学（可授理学、...
- 152 篇 生物学
- 34 篇 系统科学
- 24 篇 化学
168 篇 管理学
- 120 篇 图书情报与档案管...
- 50 篇 管理科学与工程(可...
- 33 篇 工商管理
139 篇 医学
- 138 篇 临床医学
- 21 篇 基础医学(可授医学...
20 篇 法学
- 19 篇 社会学
11 篇 农学
10 篇 教育学
7 篇 经济学
3 篇 军事学
3 篇 艺术学

主题

2,304 篇 computer vision
871 篇 pattern recognit...
640 篇 cameras
634 篇 computer science
577 篇 face recognition
553 篇 layout
523 篇 image segmentati...
509 篇 conferences
503 篇 shape
450 篇 robustness
438 篇 object recogniti...
390 篇 humans
341 篇 feature extracti...
318 篇 training
307 篇 object detection
261 篇 application soft...
259 篇 image recognitio...
250 篇 lighting
239 篇 image reconstruc...
237 篇 computational mo...

机构

44 篇 microsoft resear...
26 篇 department of co...
21 篇 swiss fed inst t...
21 篇 school of comput...
20 篇 department of co...
19 篇 swiss fed inst t...
19 篇 carnegie mellon ...
18 篇 department of co...
17 篇 department of in...
17 篇 the robotics ins...
17 篇 institute of com...
16 篇 univ sci & techn...
16 篇 robotics institu...
15 篇 tsinghua univ pe...
14 篇 department of el...
14 篇 school of comput...
14 篇 school of comput...
13 篇 univ maryland co...
13 篇 microsoft resear...
13 篇 microsoft resear...

作者

39 篇 timofte radu
28 篇 s.k. nayar
25 篇 xiaoou tang
25 篇 huang thomas s.
22 篇 t. kanade
20 篇 t.s. huang
19 篇 van gool luc
19 篇 t. darrell
19 篇 chellappa rama
18 篇 nayar shree k.
17 篇 a.k. jain
17 篇 a. zisserman
17 篇 jain anil k.
17 篇 zisserman andrew
16 篇 g. healey
16 篇 torralba antonio
16 篇 heung-yeung shum
16 篇 l. van gool
15 篇 zhang lei
15 篇 li stan z.

语言

6,544 篇 英文
1 篇 其他

检索条件"任意字段=2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005"

共 6545 条记录，以下是4841-4850 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：

Matching of double-sided document images to remove interference

Matching of double-sided document images to remove interfere...

引用

conference on computer vision and pattern recognition (cvpr)

作者： Qian Wang Chew Lim Tan School of Computing National University of Singapore Singapore Singapore

ISBN: (纸本)0769512720

The National Archives of Singapore keeps a large volume of historical handwritten documents. One, common problem with the archives is that over the years, ink sipped through the pages of these documents such that characters on the reverse side become visible and interfere with the characters on the front side. This paper addresses this problem and develops a novel algorithm to extract clear textual images from the, interference. We achieve this by mapping images from both sides of a page such that interfering strokes seen on the front side are matched with the strokes originating from the reverse side so as to achieve a cancellation effect. The resultant image a further subjected to an improved Canny edge detection to eliminate remaining background interference. Experimental results have confirmed the validity of our proposed method.

关键词： Interference Ink Image edge detection pattern matching Histograms Background noise Feature extraction Maximum likelihood detection Humans Eyes

来源：评论

学校读者我要写书评

暂无评论

Small sample learning during multimedia retrieval using BiasMap

Small sample learning during multimedia retrieval using Bias...

引用

conference on computer vision and pattern recognition (cvpr)

作者： Xiang Sean Zhou T.S. Huang Beckman Institute University of Illinois Urbana-Champaign USA

ISBN: (纸本)0769512720

All positive examples are alike; each negative example is negative in its own way. During interactive multimedia information retrieval, the number of training samples fed-back by the user is usually small; furthermore, they are not representative for the true distributions-especially the negative examples. Adding to the difficulties is the nonlinearity in real-world distributions. Existing solutions fail to address these problems in a principled way. This paper proposes biased discriminant analysis and transforms specifically designed to address the asymmetry between the positive and negative examples, and to trade off generalization for robustness under a small training sample. The kernel version, namely "BiasMap ", is derived to facilitate nonlinear biased discrimination. Extensive experiments are carried out for performance evaluation as compared to the state-of-the-art methods.

关键词： Content based retrieval Image retrieval Information retrieval Iterative algorithms Negative feedback pattern analysis Robustness Kernel Multimedia systems Humans

来源：评论

学校读者我要写书评

暂无评论

Optimal texture map reconstruction from multiple views

Optimal texture map reconstruction from multiple views

引用

conference on computer vision and pattern recognition (cvpr)

作者： Lifeng Wang Sing Bing Kang R. Szeliski Heung-Yeung Shum Microsoft China Beijing China Microsoft Corporation Redmond WA USA

ISBN: (纸本)0769512720

The recovery of 3D models from multiple reference images involves not only the extraction of 3D shape, but also of texture. Assuming that all surfaces are Lambertian, the resulting final texture is typically computed as a linear combination of reference textures. This is, however, not the optimal means for reconstructing textures, since this does not model the anisotropy in the texture projection. Furthermore, the spatial image sampling may be quite variable within a fore-shortened surface. This also has important implications for computer vision techniques that involve analysis by synthesis and the image-based rendering (IBR) technique of view-dependent texture mapping (VDTM). Starting with sampling theory, we show how weights should be spatially distributed for optimal texture construction. The local weights take into consideration the effects of anisotropy and variable spatial image sampling. We also present experimental results to verify our analysis.

关键词： Image sampling Image reconstruction Surface reconstruction Anisotropic magnetoresistance Shape Surface texture computer vision Image analysis Image texture analysis Rendering (computer graphics)

来源：评论

学校读者我要写书评

暂无评论

Analysis and detection of shadows in video streams: a comparative evaluation

Analysis and detection of shadows in video streams: a compar...

引用

conference on computer vision and pattern recognition (cvpr)

作者： A. Prati R. Cucchiara I. Mikic M.M. Trivedi Dipartimento di Ingegneria dellInforrnazione University of Modena and Reggio Emilia and INFM Modena Italy Department of Electrical and Computer Engineering University of California San Diego La Jolla CA USA

ISBN: (纸本)0769512720

Robustness to changes in illumination conditions as well as viewing perspectives is an important requirement for many computer vision applications. One of the key factors in enhancing the robustness of dynamic scene analysis is that of accurate and reliable means for shadow detection. Shadow detection is critical for correct object detection in image sequences. Many algorithms have been proposed in the literature that deal with shadows. However, a comparative evaluation of the existing approaches is still lacking. In this paper, the full range of problems underlying the shadow detection is identified and discussed. We classify the proposed solutions to this problem using a taxonomy of four main classes, deterministic model and non-model based, and statistical parametric and nonparametric. Novel quantitative (detection and discrimination accuracy) and qualitative metrics (scene and object independence, flexibility to shadow situations and robustness to noise) are proposed to evaluate these classes of algorithms on a benchmark suite of indoor and outdoor video sequences.

关键词： Streaming media Object detection Robustness Lighting computer vision Application software Image analysis Image sequences Taxonomy Layout

来源：评论

学校读者我要写书评

暂无评论

A relationship between spline-based deformable models and weighted graphs in non-rigid matching

A relationship between spline-based deformable models and we...

引用

conference on computer vision and pattern recognition (cvpr)

作者： A. Rangarajan H. Chui E. Mjolsness Department of CISE University of Florida Gainesville FL USA Medical Imaging Group R2 Technology Los Altos CA USA Machine Learning Group JPL Pasadena CA USA

ISBN: (纸本)0769512720

Deformable models are central to non-rigid motion analysis, shape matching and non-rigid medical image registration. Spline-based deformations are a very popular class of parameterizations of deformable models and have been heavily used in multiple domains. In a somewhat separate sub-field, weighted graphs are a frequently used object parameterization. Graph matching using weighted graph object parameterizations finds application in a spectrum ranging from rigid pose estimation to deformable object recognition. Here, we demonstrate a hitherto unsuspected relationship between spline-based deformable models and weighted graphs. It turns out that spline parameterizations in the kernel representation can be used to construct equivalent weighted graphs. With this connection established, we envision a cross-fertilization between these two seemingly disparate sub-fields of computer vision.

关键词： Spline Deformable models Biomedical imaging Kernel Motion analysis Shape Character recognition Machine learning Image analysis Image motion analysis

来源：评论

学校读者我要写书评

暂无评论

Bagging is a small-data-set phenomenon

Bagging is a small-data-set phenomenon

引用

conference on computer vision and pattern recognition (cvpr)

作者： N. Chawla T.E. Moore K.W. Bowyer L.O. Hall C. Springer P. Kegelmeyer Department of Computer Science and Engineering University of South Florida Tampa FL USA Department of Computer Science and Engineering University of Notre Dame Notre Dame IN USA Biosystems Research Department Sandia National Laboratories Livermore CA USA

ISBN: (纸本)0769512720

Bagging forms a committee of classifiers by bootstrap aggregation of training sets from a pool of training data. A simple alternative to bagging is to partition the data into disjoint subsets. Experiments on various datasets show that, given the same size partitions and bags, disjoint partitions result in better performance than bootstrap aggregates (bags). Many applications (e.g., protein structure prediction) involve the use of datasets that are too large to handle in the memory of a typical computer. Our results indicate that, in such applications, the simple approach of creating a committee of classifiers from disjoint partitions is preferred over the more complex approach of bagging.

关键词： Bagging Application software computer science Training data Sampling methods Laboratories Aggregates Proteins Data mining Testing

来源：评论

学校读者我要写书评

暂无评论

A computer vision system for on-screen item selection by finger pointing

A computer vision system for on-screen item selection by fin...

引用

conference on computer vision and pattern recognition (cvpr)

作者： M.S. Lee D. Weinshall E. Cohen-Solal A. Colmenarez D. Lyons Philips Research Briarcliff Manor NY USA

ISBN: (纸本)0769512720

Pointing at planar surfaces such as TV and computer monitors or projection screens can be a useful mode of interaction between humans and machines. To a large extent what seems to hinder the use of vision in such practical applications is the difficulty of the computational task, which is typically defined as 3-D reconstruction from uncalibrated 2-D images of a non-static scene. We describe below two designs where, using one or two cameras, the target of pointing on a flat monitor or screen is identified without 3-D inference, using only image morphing and line intersection. This is accomplished by registering the images with the target plane. When used to identify a pointing target on a surface hidden from the camera (e.g., a computer monitor which supports the camera itself as in most PC configurations), we add aperture(s) coplanar with the target surface in front of the camera(s). We describe experimental results showing a fully automated procedure for pointing target detection with high accuracy. The simplicity of our method and its robustness, as well as the relative accuracy of our results, can make pointing a practical means of human-machine interaction.

关键词： computer vision Fingers Cameras computer displays Surface reconstruction TV Humans Application software Three dimensional displays Layout

来源：评论

学校读者我要写书评

暂无评论

Handling occlusions in dense multi-view stereo

Handling occlusions in dense multi-view stereo

引用

conference on computer vision and pattern recognition (cvpr)

作者： Sing Bing Kang R. Szeliski Jinxiang Chai Microsoft Research Microsoft Corporation USA The Robotics Institute Carnegie Mellon University USA

ISBN: (纸本)0769512720

While stereo matching was originally formulated as the recovery of 3D shape from a pair of images, it is now generally recognized that using more than two images can dramatically improve the quality of the reconstruction. Unfortunately, as more images are added, the prevalence of semi-occluded regions (pixels visible in some but not all images) also increases. We propose some novel techniques to deal with this problem. Our first idea is to use a combination of shiftable windows and a dynamically selected subset of the neighboring images to do the matches. Our second idea is to explicitly label occluded pixels within a global energy minimization framework, and to reason about visibility within this framework so that only truly visible pixels are matched. Experimental results show a dramatic improvement using the first idea over conventional multibaseline stereo, especially when used in conjunction with a global energy minimization technique. These results also show that explicit occlusion labeling and visibility reasoning do help, but not significantly, if the spatial and temporal selection is applied first.

关键词： Stereo vision Pixel Robots Stereo image processing Shape Image reconstruction Image recognition Labeling computer vision Application software

来源：评论

学校读者我要写书评

暂无评论

Gait recognition from time-normalized joint-angle trajectories in the walking plane

Gait recognition from time-normalized joint-angle trajectori...

引用

conference on computer vision and pattern recognition (cvpr)

作者： R. Tanawongsuwan A. Bobick College of Computing GVU Center Georgia Institute of Technology Atlanta GA USA

ISBN: (纸本)0769512720

This paper demonstrates gait recognition using only the trajectories of lower body joint angles projected into the walking plane. For this work, we begin with the position of 3D markers as projected into the sagittal or walking plane. We show a simple method for estimating the planar offsets between the markers and the underlying skeleton and joints; given these offsets we compute the joint angle trajectories. To compensate for systematic temporal variations from one instance to the next-predominantly distance and speed of walk-we fix the number of footsteps and time-normalize the trajectories by a variance compensated time warping. We perform recognition on two walking databases of 18 people (over 150 walk instances) using simple nearest neighbor algorithm with Euclidean distance as a measurement criteria. We also use the expected confusion metric as a means to estimate how well joint-angle signals will perform in a larger population.

关键词： Legged locomotion Joints Databases Humans Displays Data mining Educational institutions Skeleton Nearest neighbor searches Euclidean distance

来源：评论

学校读者我要写书评

暂无评论

Learning probabilistic structure for human motion detection

Learning probabilistic structure for human motion detection

引用

conference on computer vision and pattern recognition (cvpr)

作者： Y. Song L. Goncalves P. Perona California Institute of Technology Pasadena CA USA Universitá di Padova Italy

ISBN: (纸本)0769512720

Decomposable triangulated graphs have been shown to be efficient and effective for modeling the probabilistic spatio-temporal structure of brief stretches of human motion. In previous work such model structure was handcrafted by expert human observers and labeled data were needed for parameter learning. We present a method to build automatically the structure of the decomposable triangulated graph from unlabeled data. It is based on maximum-likelihood. Taking the labeling of the data as hidden variables, a variant of the EM algorithm can be applied. A greedy algorithm is developed to search for the optimal structure of the decomposable model based on the (conditional) differential entropy of variables. Our algorithm is demonstrated by learning models of human motion completely automatically from unlabeled real image sequences with clutter and occlusion. Experiments on both motion captured data and grayscale image sequences show that the resulting models perform better than the hand-constructed models.

关键词： Humans Motion detection Labeling Image sequences Training data Maximum likelihood detection Gray-scale computer vision Biological system modeling Greedy algorithms

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500页 << < 481 482 483 484 485 486 487 488 489 490 > >>

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：